{"id":1925,"date":"2026-09-24T09:00:00","date_gmt":"2026-09-24T09:00:00","guid":{"rendered":"https:\/\/otus.ru\/journal\/?p=1925"},"modified":"2026-09-25T15:31:25","modified_gmt":"2026-09-25T15:31:25","slug":"osobennosti-analiza-dannyh-s-python","status":"publish","type":"post","link":"https:\/\/otus.ru\/journal\/osobennosti-analiza-dannyh-s-python\/","title":{"rendered":"\u0410\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 Python: \u0447\u0442\u043e \u044d\u0442\u043e, \u044d\u0442\u0430\u043f\u044b \u0438 \u043f\u0435\u0440\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440"},"content":{"rendered":"<p><strong>\u0410\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 Python<\/strong> &#8212; \u044d\u0442\u043e \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u0442\u0430\u0431\u043b\u0438\u0446\u0430\u043c\u0438, \u043b\u043e\u0433\u0430\u043c\u0438 \u0438 \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0430\u043c\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0434\u0430\u043d\u043d\u044b\u0435 \u0441\u043e\u0431\u0438\u0440\u0430\u044e\u0442, \u0447\u0438\u0441\u0442\u044f\u0442, \u0441\u0447\u0438\u0442\u0430\u044e\u0442 \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u044e\u0442 \u043a\u043e\u0434\u043e\u043c \u043d\u0430 Python \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a NumPy, pandas \u0438 Matplotlib. \u0421\u0430\u043c \u044f\u0437\u044b\u043a \u0437\u0434\u0435\u0441\u044c &#8212; \u00ab\u043a\u043b\u0435\u0439\u00bb \u043c\u0435\u0436\u0434\u0443 \u0448\u0430\u0433\u0430\u043c\u0438: \u0442\u044f\u0436\u0435\u043b\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0432\u043d\u0443\u0442\u0440\u0438 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u044b \u043d\u0430 C \u0438 \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 \u0431\u044b\u0441\u0442\u0440\u0435\u0435 \u043e\u0431\u044b\u0447\u043d\u044b\u0445 \u0446\u0438\u043a\u043b\u043e\u0432 Python. \u041d\u0438\u0436\u0435 &#8212; \u044d\u0442\u0430\u043f\u044b \u0440\u0430\u0431\u043e\u0442\u044b, \u0440\u043e\u043b\u0438 \u0442\u0440\u0435\u0445 \u0433\u043b\u0430\u0432\u043d\u044b\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u043e\u0434\u0438\u043d \u0441\u043a\u0432\u043e\u0437\u043d\u043e\u0439 \u043f\u0440\u0438\u043c\u0435\u0440 \u043e\u0442 CSV \u0434\u043e \u0433\u0440\u0430\u0444\u0438\u043a\u0430 \u0438 \u043e\u0448\u0438\u0431\u043a\u0438, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0447\u0430\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0441\u043f\u043e\u0442\u044b\u043a\u0430\u044e\u0442\u0441\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u0438.<\/p>\n<div class=\"oj-toc\" style=\"background:#f6f6f6;border-radius:8px;padding:14px 20px;margin:20px 0\">\n<p><strong>\u0421\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435<\/strong><\/p>\n<ol>\n<li><a href=\"#s1\">\u0422\u0440\u0438 \u0442\u0435\u0440\u043c\u0438\u043d\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0447\u0430\u0441\u0442\u043e \u043f\u0443\u0442\u0430\u044e\u0442<\/a><\/li>\n<li><a href=\"#s2\">\u041f\u043e\u0447\u0435\u043c\u0443 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0431\u0435\u0440\u0443\u0442 Python<\/a><\/li>\n<li><a href=\"#s3\">\u042d\u0442\u0430\u043f\u044b \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445<\/a><\/li>\n<li><a href=\"#s4\">NumPy, pandas \u0438 Matplotlib: \u043a\u0442\u043e \u0437\u0430 \u0447\u0442\u043e \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442<\/a><\/li>\n<li><a href=\"#s5\">\u041f\u0435\u0440\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440: \u043e\u0442 CSV \u0434\u043e \u0433\u0440\u0430\u0444\u0438\u043a\u0430<\/a><\/li>\n<li><a href=\"#s6\">\u041e\u0448\u0438\u0431\u043a\u0430, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u043e\u0447\u0442\u0438 \u043a\u0430\u0436\u0434\u044b\u0439: \u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438<\/a><\/li>\n<li><a href=\"#s7\">\u0415\u0441\u043b\u0438 \u043d\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u043e\u0441\u044c<\/a><\/li>\n<li><a href=\"#s8\">\u0414\u043e\u0440\u043e\u0436\u043d\u0430\u044f \u043a\u0430\u0440\u0442\u0430: \u043e\u0442 \u043d\u0443\u043b\u044f \u0434\u043e \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u043e\u0442\u0447\u0435\u0442\u0430<\/a><\/li>\n<li><a href=\"#s9\">\u0412\u044b\u0432\u043e\u0434\u044b<\/a><\/li>\n<li><a href=\"#s10\">\u0413\u0434\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \/ \u0441\u0432\u044f\u0437\u044c \u0441 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u043e\u0439<\/a><\/li>\n<li><a href=\"#s11\">FAQ<\/a><\/li>\n<\/ol>\n<\/div>\n<p>\u041f\u0440\u0438\u043c\u0435\u0440\u044b \u043f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u044b 24.09.2026 \u043d\u0430 Python 3.14, pandas 3.0, NumPy 2.5 \u0438 Matplotlib 3.11.<\/p>\n<h2 id=\"s1\">\u0422\u0440\u0438 \u0442\u0435\u0440\u043c\u0438\u043d\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0447\u0430\u0441\u0442\u043e \u043f\u0443\u0442\u0430\u044e\u0442<\/h2>\n<ul>\n<li><strong>\u0410\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445<\/strong> &#8212; \u043e\u0442\u0432\u0435\u0442 \u043d\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441 \u043f\u043e \u0434\u0430\u043d\u043d\u044b\u043c: \u0441\u043a\u043e\u043b\u044c\u043a\u043e, \u0433\u0434\u0435, \u043a\u0430\u043a \u0438\u0437\u043c\u0435\u043d\u0438\u043b\u043e\u0441\u044c, \u0441 \u0447\u0435\u043c \u0441\u0432\u044f\u0437\u0430\u043d\u043e. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 &#8212; \u0442\u0430\u0431\u043b\u0438\u0446\u0430, \u0433\u0440\u0430\u0444\u0438\u043a, \u0432\u044b\u0432\u043e\u0434 \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f.<\/li>\n<li><strong>Data Science<\/strong> &#8212; \u0448\u0438\u0440\u0435: \u0441\u044e\u0434\u0430 \u0432\u0445\u043e\u0434\u044f\u0442 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430, \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u044b \u0438 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0435\u0439. \u0410\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 &#8212; \u0435\u0433\u043e \u0431\u0430\u0437\u043e\u0432\u0430\u044f \u0447\u0430\u0441\u0442\u044c, \u043d\u043e \u043d\u0435 \u0441\u0438\u043d\u043e\u043d\u0438\u043c.<\/li>\n<li><strong>\u041c\u0430\u0448\u0438\u043d\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435<\/strong> &#8212; \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u043c\u043e\u0434\u0435\u043b\u0438, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u043d\u043e\u0432\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445. \u0411\u0435\u0437 \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438 \u043e\u0447\u0438\u0441\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u044c \u043e\u0431\u044b\u0447\u043d\u043e \u0443\u0447\u0438\u0442\u0441\u044f \u043d\u0430 \u043c\u0443\u0441\u043e\u0440\u0435.<\/li>\n<\/ul>\n<p>\u0423\u043f\u0440\u043e\u0449\u0435\u043d\u043d\u043e: \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u00ab\u0447\u0442\u043e \u0431\u044b\u043b\u043e \u0438 \u043f\u043e\u0447\u0435\u043c\u0443\u00bb, ML-\u043c\u043e\u0434\u0435\u043b\u044c &#8212; \u00ab\u0447\u0442\u043e \u0431\u0443\u0434\u0435\u0442 \u043d\u0430 \u043d\u043e\u0432\u043e\u043c \u043e\u0431\u044a\u0435\u043a\u0442\u0435\u00bb. \u0413\u0440\u0430\u043d\u0438\u0446\u0430 \u0440\u0430\u0437\u043c\u044b\u0442\u0430, \u043d\u043e \u0434\u043b\u044f \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u0437\u043d\u0430\u043a\u043e\u043c\u0441\u0442\u0432\u0430 \u044d\u0442\u043e\u0433\u043e \u0440\u0430\u0437\u043b\u0438\u0447\u0435\u043d\u0438\u044f \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e.<\/p>\n<h2 id=\"s2\">\u041f\u043e\u0447\u0435\u043c\u0443 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0431\u0435\u0440\u0443\u0442 Python<\/h2>\n<p>Python \u0432\u044b\u0431\u0438\u0440\u0430\u044e\u0442 \u043d\u0435 \u0437\u0430 \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u0441\u0430\u043c\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430, \u0430 \u0437\u0430 \u044d\u043a\u043e\u0441\u0438\u0441\u0442\u0435\u043c\u0443. \u041e\u0434\u043d\u0430 \u0441\u0440\u0435\u0434\u0430 \u0437\u0430\u043a\u0440\u044b\u0432\u0430\u0435\u0442 \u0432\u0435\u0441\u044c \u043f\u0443\u0442\u044c: \u0447\u0442\u0435\u043d\u0438\u0435 CSV, Excel \u0438 SQL-\u0432\u044b\u0433\u0440\u0443\u0437\u043e\u043a, \u043e\u0447\u0438\u0441\u0442\u043a\u0430, \u0440\u0430\u0441\u0447\u0435\u0442\u044b, \u0433\u0440\u0430\u0444\u0438\u043a\u0438, \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0430\u0446\u0438\u044f \u043e\u0442\u0447\u0435\u0442\u0430 \u043f\u043e \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u044e. \u041a\u043e\u0434 \u043c\u043e\u0436\u043d\u043e \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043f\u043e \u043a\u0443\u0441\u043e\u0447\u043a\u0443 \u0432 Jupyter Notebook \u0438 \u0441\u0440\u0430\u0437\u0443 \u0432\u0438\u0434\u0435\u0442\u044c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 &#8212; \u0443\u0434\u043e\u0431\u043d\u043e, \u043a\u043e\u0433\u0434\u0430 \u0433\u0438\u043f\u043e\u0442\u0435\u0437 \u043c\u043d\u043e\u0433\u043e.<\/p>\n<p>\u0415\u0441\u0442\u044c \u0438 \u0433\u0440\u0430\u043d\u0438\u0446\u044b. \u0414\u043b\u044f \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u043d\u0430 \u043f\u0430\u0440\u0443 \u0441\u043e\u0442\u0435\u043d \u0441\u0442\u0440\u043e\u043a \u0438 \u0440\u0430\u0437\u043e\u0432\u043e\u0433\u043e \u043e\u0442\u0432\u0435\u0442\u0430 Excel \u0431\u044b\u0432\u0430\u0435\u0442 \u0431\u044b\u0441\u0442\u0440\u0435\u0435. \u0415\u0441\u043b\u0438 \u0434\u0430\u043d\u043d\u044b\u0435 \u043b\u0435\u0436\u0430\u0442 \u0432 \u0431\u0430\u0437\u0435 \u0438 \u043d\u0443\u0436\u043d\u044b \u043f\u0440\u043e\u0441\u0442\u044b\u0435 \u0430\u0433\u0440\u0435\u0433\u0430\u0442\u044b, \u0438\u0445 \u0440\u0430\u0437\u0443\u043c\u043d\u0435\u0435 \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c SQL-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u043c \u043f\u0440\u044f\u043c\u043e \u0432 \u0421\u0423\u0411\u0414. pandas \u0434\u0435\u0440\u0436\u0438\u0442 \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0432 \u043e\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0439 \u043f\u0430\u043c\u044f\u0442\u0438, \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0434\u043b\u044f \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0432 \u043d\u0435\u0435 \u043d\u0435 \u043f\u043e\u043c\u0435\u0449\u0430\u044e\u0442\u0441\u044f, \u043d\u0443\u0436\u043d\u044b \u0434\u0440\u0443\u0433\u0438\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b (\u0447\u0442\u0435\u043d\u0438\u0435 \u0447\u0430\u0441\u0442\u044f\u043c\u0438, \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0430\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430).<\/p>\n<h2 id=\"s3\">\u042d\u0442\u0430\u043f\u044b \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445<\/h2>\n<p>\u042d\u0442\u0430\u043f\u044b \u043d\u0438\u0436\u0435 &#8212; \u043d\u0435 \u0441\u0442\u0440\u043e\u0433\u0438\u0439 \u043a\u043e\u043d\u0432\u0435\u0439\u0435\u0440: \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u043f\u043e\u0441\u043b\u0435 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0447\u0430\u0441\u0442\u043e \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u044e\u0442\u0441\u044f \u043a \u043e\u0447\u0438\u0441\u0442\u043a\u0435, \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u043d\u0430\u0448\u043b\u0430\u0441\u044c \u043d\u043e\u0432\u0430\u044f \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u044f.<\/p>\n<table>\n<thead>\n<tr>\n<th>\u042d\u0442\u0430\u043f<\/th>\n<th>\u0427\u0442\u043e \u0434\u0435\u043b\u0430\u0435\u043c<\/th>\n<th>\u0422\u0438\u043f\u0438\u0447\u043d\u044b\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b<\/th>\n<th>\u0427\u0430\u0441\u0442\u0430\u044f \u043e\u0448\u0438\u0431\u043a\u0430<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0421\u0431\u043e\u0440<\/td>\n<td>\u0417\u0430\u0433\u0440\u0443\u0436\u0430\u0435\u043c CSV, Excel, \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0443 \u0438\u0437 \u0411\u0414 \u0438\u043b\u0438 API<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pd.read_csv<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pd.read_excel<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pd.read_sql<\/code><\/td>\n<td>\u041d\u0435 \u0442\u0430 \u043a\u043e\u0434\u0438\u0440\u043e\u0432\u043a\u0430 \u0438\u043b\u0438 \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u044c<\/td>\n<\/tr>\n<tr>\n<td>\u041e\u0447\u0438\u0441\u0442\u043a\u0430<\/td>\n<td>\u0423\u0431\u0438\u0440\u0430\u0435\u043c \u0434\u0443\u0431\u043b\u0438, \u043f\u0440\u0438\u0432\u043e\u0434\u0438\u043c \u0442\u0438\u043f\u044b, \u0440\u0435\u0448\u0430\u0435\u043c, \u0447\u0442\u043e \u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u0430\u043c\u0438<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">drop_duplicates<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">to_numeric<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">dropna<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">fillna<\/code><\/td>\n<td>\u0427\u0438\u0441\u043b\u0430 \u043e\u0441\u0442\u0430\u043b\u0438\u0441\u044c \u0441\u0442\u0440\u043e\u043a\u0430\u043c\u0438<\/td>\n<\/tr>\n<tr>\n<td>\u0410\u043d\u0430\u043b\u0438\u0437<\/td>\n<td>\u0413\u0440\u0443\u043f\u043f\u0438\u0440\u0443\u0435\u043c, \u0441\u0447\u0438\u0442\u0430\u0435\u043c \u0430\u0433\u0440\u0435\u0433\u0430\u0442\u044b, \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u043c \u043f\u0435\u0440\u0438\u043e\u0434\u044b \u0438 \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u044b<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">groupby<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">agg<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pivot_table<\/code>, NumPy<\/td>\n<td>\u0421\u0440\u0435\u0434\u043d\u0435\u0435 \u0431\u0435\u0437 \u0443\u0447\u0435\u0442\u0430 \u0432\u044b\u0431\u0440\u043e\u0441\u043e\u0432 \u0438 \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u043e\u0432<\/td>\n<\/tr>\n<tr>\n<td>\u0412\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f<\/td>\n<td>\u0421\u0442\u0440\u043e\u0438\u043c \u0433\u0440\u0430\u0444\u0438\u043a, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441<\/td>\n<td>Matplotlib, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">DataFrame.plot<\/code><\/td>\n<td>\u0413\u0440\u0430\u0444\u0438\u043a \u0435\u0441\u0442\u044c, \u0432\u044b\u0432\u043e\u0434\u0430 \u043d\u0435\u0442<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"s4\">NumPy, pandas \u0438 Matplotlib: \u043a\u0442\u043e \u0437\u0430 \u0447\u0442\u043e \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430<\/th>\n<th>\u0413\u043b\u0430\u0432\u043d\u044b\u0439 \u043e\u0431\u044a\u0435\u043a\u0442<\/th>\n<th>\u0420\u043e\u043b\u044c<\/th>\n<th>\u041a\u043e\u0433\u0434\u0430 \u043d\u0443\u0436\u043d\u0430 \u043d\u0430\u043f\u0440\u044f\u043c\u0443\u044e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>NumPy<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">ndarray<\/code> &#8212; \u043c\u0430\u0441\u0441\u0438\u0432 \u043e\u0434\u043d\u043e\u0433\u043e \u0442\u0438\u043f\u0430<\/td>\n<td>\u0411\u044b\u0441\u0442\u0440\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043d\u0430\u0434 \u043c\u0430\u0441\u0441\u0438\u0432\u0430\u043c\u0438 \u0431\u0435\u0437 \u0446\u0438\u043a\u043b\u043e\u0432<\/td>\n<td>\u041c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u043a\u0430, \u043c\u0430\u0442\u0440\u0438\u0446\u044b, \u0444\u0438\u043b\u044c\u0442\u0440\u044b \u043f\u043e \u0443\u0441\u043b\u043e\u0432\u0438\u044e<\/td>\n<\/tr>\n<tr>\n<td>pandas<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Series<\/code> (\u0441\u0442\u043e\u043b\u0431\u0435\u0446) \u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">DataFrame<\/code> (\u0442\u0430\u0431\u043b\u0438\u0446\u0430)<\/td>\n<td>\u0422\u0430\u0431\u043b\u0438\u0446\u044b \u0441 \u043f\u043e\u0434\u043f\u0438\u0441\u044f\u043c\u0438 \u0441\u0442\u0440\u043e\u043a \u0438 \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432, \u0447\u0442\u0435\u043d\u0438\u0435 \u0444\u0430\u0439\u043b\u043e\u0432, \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0438<\/td>\n<td>\u041f\u043e\u0447\u0442\u0438 \u0432 \u043a\u0430\u0436\u0434\u043e\u0439 \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0437\u0430\u0434\u0430\u0447\u0435<\/td>\n<\/tr>\n<tr>\n<td>Matplotlib<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Figure<\/code> \u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Axes<\/code><\/td>\n<td>\u0413\u0440\u0430\u0444\u0438\u043a\u0438 \u043b\u044e\u0431\u043e\u0433\u043e \u0432\u0438\u0434\u0430, \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u0432 PNG\/SVG<\/td>\n<td>\u041d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u0433\u0440\u0430\u0444\u0438\u043a\u0430, \u043e\u0442\u0447\u0435\u0442\u044b \u0432 \u0444\u0430\u0439\u043b\u044b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>pandas \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d \u043f\u043e\u0432\u0435\u0440\u0445 NumPy, \u0430 \u043c\u0435\u0442\u043e\u0434 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">DataFrame.plot<\/code> \u0432\u043d\u0443\u0442\u0440\u0438 \u0432\u044b\u0437\u044b\u0432\u0430\u0435\u0442 Matplotlib. \u041f\u043e\u044d\u0442\u043e\u043c\u0443 \u043d\u043e\u0432\u0438\u0447\u043a\u0443 \u0434\u043e\u0441\u0442\u0430\u0442\u043e\u0447\u043d\u043e \u043d\u0430\u0447\u0430\u0442\u044c \u0441 pandas \u0438 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u043e\u0435 \u043f\u043e \u043c\u0435\u0440\u0435 \u043d\u0443\u0436\u0434\u044b.<\/p>\n<p>\u0413\u043b\u0430\u0432\u043d\u0430\u044f \u0438\u0434\u0435\u044f NumPy &#8212; \u0432\u0435\u043a\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u044f: \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044f \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \u043a\u043e \u0432\u0441\u0435\u043c\u0443 \u043c\u0430\u0441\u0441\u0438\u0432\u0443 \u0441\u0440\u0430\u0437\u0443.<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\"><span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">numpy<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">np<\/span>\n\n<span style=\"color: #E06C75\">prices<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">np<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">array<\/span><span style=\"color: #ABB2BF\">([<\/span><span style=\"color: #D19A66\">1200<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">850<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">2300<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">640<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">1500<\/span><span style=\"color: #ABB2BF\">])<\/span>\n<span style=\"color: #E06C75\">qty<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">np<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">array<\/span><span style=\"color: #ABB2BF\">([<\/span><span style=\"color: #D19A66\">1<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">2<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">1<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">3<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #D19A66\">2<\/span><span style=\"color: #ABB2BF\">])<\/span>\n\n<span style=\"color: #E06C75\">revenue<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">prices<\/span> <span style=\"color: #56B6C2\">*<\/span> <span style=\"color: #E06C75\">qty<\/span>          <span style=\"color: #7F848E\"># \u043f\u043e\u044d\u043b\u0435\u043c\u0435\u043d\u0442\u043d\u043e, \u0431\u0435\u0437 \u0446\u0438\u043a\u043b\u0430<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">revenue<\/span><span style=\"color: #ABB2BF\">)<\/span>                  <span style=\"color: #7F848E\"># [1200 1700 2300 1920 3000]<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">revenue<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">sum<\/span><span style=\"color: #ABB2BF\">(),<\/span> <span style=\"color: #E06C75\">revenue<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">mean<\/span><span style=\"color: #ABB2BF\">())<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">revenue<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #E06C75\">revenue<\/span> <span style=\"color: #56B6C2\">&gt;<\/span> <span style=\"color: #D19A66\">1800<\/span><span style=\"color: #ABB2BF\">])<\/span>  <span style=\"color: #7F848E\"># \u0444\u0438\u043b\u044c\u0442\u0440 \u043c\u0430\u0441\u043a\u043e\u0439<\/span><\/code><\/pre>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">[1200 1700 2300 1920 3000]\n10120 2024.0\n[2300 1920 3000]\n<\/code><\/pre>\n<h2 id=\"s5\">\u041f\u0435\u0440\u0432\u044b\u0439 \u043f\u0440\u0438\u043c\u0435\u0440: \u043e\u0442 CSV \u0434\u043e \u0433\u0440\u0430\u0444\u0438\u043a\u0430<\/h2>\n<p>\u0417\u0430\u0434\u0430\u0447\u0430: \u043f\u043e \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0435 \u0437\u0430\u043a\u0430\u0437\u043e\u0432 \u043f\u043e\u043d\u044f\u0442\u044c, \u043a\u0430\u043a\u043e\u0439 \u0433\u043e\u0440\u043e\u0434 \u043f\u0440\u0438\u043d\u043e\u0441\u0438\u0442 \u0431\u043e\u043b\u044c\u0448\u0435 \u0432\u044b\u0440\u0443\u0447\u043a\u0438. \u0412 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u044b \u0442\u0438\u043f\u0438\u0447\u043d\u044b\u0435 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u044b: \u0434\u0443\u0431\u043b\u044c \u0437\u0430\u043a\u0430\u0437\u0430, \u043f\u0443\u0441\u0442\u0430\u044f \u0441\u0443\u043c\u043c\u0430 \u0438 \u0441\u0443\u043c\u043c\u0430 \u0441 \u043f\u0440\u043e\u0431\u0435\u043b\u043e\u043c \u0432\u043d\u0443\u0442\u0440\u0438. \u0423\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0430 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a: <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pip install pandas matplotlib<\/code>.<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\"><span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">io<\/span>\n\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">matplotlib<\/span>\n<span style=\"color: #E06C75\">matplotlib<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">use<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"Agg\"<\/span><span style=\"color: #ABB2BF\">)<\/span>  <span style=\"color: #7F848E\"># \u0440\u0438\u0441\u0443\u0435\u043c \u0432 \u0444\u0430\u0439\u043b, \u0431\u0435\u0437 \u043e\u043a\u043d\u0430<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">matplotlib.pyplot<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">plt<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">pandas<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">pd<\/span>\n\n<span style=\"color: #7F848E\"># 1. \u0421\u0431\u043e\u0440: \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0439 \u0437\u0430\u0434\u0430\u0447\u0435 \u044d\u0442\u043e pd.read_csv(\"orders.csv\") \u0438\u043b\u0438 \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0430 \u0438\u0437 \u0411\u0414<\/span>\n<span style=\"color: #E06C75\">raw<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">io<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">StringIO<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\"\"order_id,date,city,amount<\/span>\n<span style=\"color: #98C379\">1,2026-09-01,\u041c\u043e\u0441\u043a\u0432\u0430,1200<\/span>\n<span style=\"color: #98C379\">2,2026-09-01,\u041a\u0430\u0437\u0430\u043d\u044c,850<\/span>\n<span style=\"color: #98C379\">2,2026-09-01,\u041a\u0430\u0437\u0430\u043d\u044c,850<\/span>\n<span style=\"color: #98C379\">3,2026-09-02,\u041c\u043e\u0441\u043a\u0432\u0430,<\/span>\n<span style=\"color: #98C379\">4,2026-09-02,\u041f\u0435\u0440\u043c\u044c,\"2 300\"<\/span>\n<span style=\"color: #98C379\">5,2026-09-03,\u041a\u0430\u0437\u0430\u043d\u044c,640<\/span>\n<span style=\"color: #98C379\">6,2026-09-03,\u041c\u043e\u0441\u043a\u0432\u0430,1500<\/span>\n<span style=\"color: #98C379\">\"\"\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">pd<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">read_csv<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">raw<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">parse_dates<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"date\"<\/span><span style=\"color: #ABB2BF\">])<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">dtypes<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">end<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"\\n\\n\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n\n<span style=\"color: #7F848E\"># 2. \u041e\u0447\u0438\u0441\u0442\u043a\u0430<\/span>\n<span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">drop_duplicates<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">subset<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"order_id\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">]<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">pd<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">to_numeric<\/span><span style=\"color: #ABB2BF\">(<\/span>\n    <span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">]<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">astype<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E5C07B\">str<\/span><span style=\"color: #ABB2BF\">)<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">str<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">replace<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">r\"\\s\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #98C379\">\"\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">regex<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #E5C07B\">True<\/span><span style=\"color: #ABB2BF\">),<\/span> <span style=\"color: #E06C75\">errors<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"coerce\"<\/span>\n<span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\u041f\u0440\u043e\u043f\u0443\u0441\u043a\u043e\u0432 \u0432 amount:\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">]<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">isna<\/span><span style=\"color: #ABB2BF\">()<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">sum<\/span><span style=\"color: #ABB2BF\">())<\/span>\n<span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">dropna<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">subset<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">])<\/span>\n\n<span style=\"color: #7F848E\"># 3. \u0410\u043d\u0430\u043b\u0438\u0437<\/span>\n<span style=\"color: #E06C75\">by_city<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #ABB2BF\">(<\/span>\n    <span style=\"color: #E06C75\">df<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">groupby<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"city\"<\/span><span style=\"color: #ABB2BF\">)[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">]<\/span>\n    <span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">agg<\/span><span style=\"color: #ABB2BF\">([<\/span><span style=\"color: #98C379\">\"count\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #98C379\">\"sum\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #98C379\">\"mean\"<\/span><span style=\"color: #ABB2BF\">])<\/span>\n    <span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">sort_values<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"sum\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">ascending<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #E5C07B\">False<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">by_city<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">round<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #D19A66\">1<\/span><span style=\"color: #ABB2BF\">),<\/span> <span style=\"color: #E06C75\">end<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"\\n\\n\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n\n<span style=\"color: #7F848E\"># 4. \u0412\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f<\/span>\n<span style=\"color: #E06C75\">ax<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">by_city<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"sum\"<\/span><span style=\"color: #ABB2BF\">]<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">plot<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">kind<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"bar\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">title<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #98C379\">\"\u0412\u044b\u0440\u0443\u0447\u043a\u0430 \u043f\u043e \u0433\u043e\u0440\u043e\u0434\u0430\u043c, \u0440\u0443\u0431.\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">ax<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">set_xlabel<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">plt<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">tight_layout<\/span><span style=\"color: #ABB2BF\">()<\/span>\n<span style=\"color: #E06C75\">plt<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">savefig<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"revenue_by_city.png\"<\/span><span style=\"color: #ABB2BF\">,<\/span> <span style=\"color: #E06C75\">dpi<\/span><span style=\"color: #56B6C2\">=<\/span><span style=\"color: #D19A66\">120<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\u0413\u0440\u0430\u0444\u0438\u043a \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d: revenue_by_city.png\"<\/span><span style=\"color: #ABB2BF\">)<\/span><\/code><\/pre>\n<p>\u0412 \u043a\u043e\u043d\u0441\u043e\u043b\u0438 \u043f\u043e\u044f\u0432\u0438\u0442\u0441\u044f:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">order_id             int64\ndate        datetime64[us]\ncity                   str\namount                 str\ndtype: object\n\n\u041f\u0440\u043e\u043f\u0443\u0441\u043a\u043e\u0432 \u0432 amount: 1\n        count     sum    mean\ncity                         \n\u041c\u043e\u0441\u043a\u0432\u0430      2  2700.0  1350.0\n\u041f\u0435\u0440\u043c\u044c       1  2300.0  2300.0\n\u041a\u0430\u0437\u0430\u043d\u044c      2  1490.0   745.0\n\n\u0413\u0440\u0430\u0444\u0438\u043a \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d: revenue_by_city.png\n<\/code><\/pre>\n<p>\u0420\u044f\u0434\u043e\u043c \u0441\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u043e\u043c \u043f\u043e\u044f\u0432\u0438\u0442\u0441\u044f \u0444\u0430\u0439\u043b <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">revenue_by_city.png<\/code> \u0441\u043e \u0441\u0442\u043e\u043b\u0431\u0447\u0430\u0442\u043e\u0439 \u0434\u0438\u0430\u0433\u0440\u0430\u043c\u043c\u043e\u0439 \u0438\u0437 \u0442\u0440\u0435\u0445 \u0433\u043e\u0440\u043e\u0434\u043e\u0432.<\/p>\n<h3>\u0427\u0442\u043e \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442 \u043f\u043e \u0448\u0430\u0433\u0430\u043c<\/h3>\n<ol>\n<li><strong>\u0421\u0431\u043e\u0440.<\/strong> <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">read_csv<\/code> \u0447\u0438\u0442\u0430\u0435\u0442 \u0442\u0430\u0431\u043b\u0438\u0446\u0443, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">parse_dates<\/code> \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0441\u0442\u0440\u043e\u043a\u0443 \u0434\u0430\u0442\u044b \u0432 \u0442\u0438\u043f \u0434\u0430\u0442\u044b. \u041f\u0435\u0440\u0432\u043e\u0435, \u0447\u0442\u043e \u0441\u0442\u043e\u0438\u0442 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441 \u043b\u044e\u0431\u044b\u043c\u0438 \u043d\u043e\u0432\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438, &#8212; \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">dtypes<\/code>: \u0437\u0434\u0435\u0441\u044c \u0432\u0438\u0434\u043d\u043e, \u0447\u0442\u043e <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">amount<\/code> \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u043d \u043a\u0430\u043a \u0441\u0442\u0440\u043e\u043a\u0430 \u0438\u0437-\u0437\u0430 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u00ab2 300\u00bb.<\/li>\n<li><strong>\u041e\u0447\u0438\u0441\u0442\u043a\u0430.<\/strong> <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">drop_duplicates(subset=\"order_id\")<\/code> \u0443\u0431\u0438\u0440\u0430\u0435\u0442 \u043f\u043e\u0432\u0442\u043e\u0440 \u0437\u0430\u043a\u0430\u0437\u0430 2. \u041f\u0440\u043e\u0431\u0435\u043b\u044b \u0443\u0434\u0430\u043b\u044f\u0435\u043c \u0440\u0435\u0433\u0443\u043b\u044f\u0440\u043d\u044b\u043c \u0432\u044b\u0440\u0430\u0436\u0435\u043d\u0438\u0435\u043c <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">\\s<\/code>: \u043e\u043d\u043e \u043b\u043e\u0432\u0438\u0442 \u0438 \u043d\u0435\u0440\u0430\u0437\u0440\u044b\u0432\u043d\u044b\u0439 \u043f\u0440\u043e\u0431\u0435\u043b, \u043a\u043e\u0442\u043e\u0440\u044b\u043c Excel \u0432 \u0440\u0443\u0441\u0441\u043a\u043e\u0439 \u043b\u043e\u043a\u0430\u043b\u0438 \u0440\u0430\u0437\u0434\u0435\u043b\u044f\u0435\u0442 \u0442\u044b\u0441\u044f\u0447\u0438 (<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">replace(\" \", \"\")<\/code> \u0435\u0433\u043e \u043d\u0435 \u0432\u0438\u0434\u0438\u0442). \u0417\u0430\u0442\u0435\u043c <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">to_numeric(..., errors=\"coerce\")<\/code> \u043f\u0435\u0440\u0435\u0432\u043e\u0434\u0438\u0442 \u0432 \u0447\u0438\u0441\u043b\u043e, \u0430 \u0442\u043e, \u0447\u0442\u043e \u043f\u0435\u0440\u0435\u0432\u0435\u0441\u0442\u0438 \u043d\u0435\u043b\u044c\u0437\u044f, \u043c\u043e\u043b\u0447\u0430 \u043f\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0432 \u043f\u0440\u043e\u043f\u0443\u0441\u043a &#8212; \u043f\u043e\u044d\u0442\u043e\u043c\u0443 \u0447\u0438\u0441\u043b\u043e \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u043e\u0432 \u043f\u0435\u0447\u0430\u0442\u0430\u0435\u043c: \u0435\u0441\u043b\u0438 \u0438\u0445 \u0431\u043e\u043b\u044c\u0448\u0435 \u043e\u0436\u0438\u0434\u0430\u0435\u043c\u043e\u0433\u043e, \u0447\u0430\u0441\u0442\u044c \u0441\u0443\u043c\u043c \u043f\u043e\u0442\u0435\u0440\u044f\u043b\u0430\u0441\u044c \u043f\u0440\u0438 \u043e\u0447\u0438\u0441\u0442\u043a\u0435, \u0430 \u043d\u0435 \u043e\u0442\u0441\u0443\u0442\u0441\u0442\u0432\u043e\u0432\u0430\u043b\u0430 \u0432 \u0434\u0430\u043d\u043d\u044b\u0445. \u041f\u0443\u0441\u0442\u0443\u044e \u0441\u0443\u043c\u043c\u0443 \u0437\u0430\u043a\u0430\u0437\u0430 3 \u0443\u0434\u0430\u043b\u044f\u0435\u043c &#8212; \u044d\u0442\u043e \u0440\u0435\u0448\u0435\u043d\u0438\u0435, \u0430 \u043d\u0435 \u043f\u0440\u0430\u0432\u0438\u043b\u043e: \u0438\u043d\u043e\u0433\u0434\u0430 \u043f\u0440\u043e\u043f\u0443\u0441\u043a \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u0435\u0435 \u0437\u0430\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u0438\u043b\u0438 \u0440\u0430\u0437\u043e\u0431\u0440\u0430\u0442\u044c \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e.<\/li>\n<li><strong>\u0410\u043d\u0430\u043b\u0438\u0437.<\/strong> <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">groupby<\/code> + <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">agg<\/code> \u0434\u0430\u044e\u0442 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u0437\u0430\u043a\u0430\u0437\u043e\u0432, \u0441\u0443\u043c\u043c\u0443 \u0438 \u0441\u0440\u0435\u0434\u043d\u0435\u0435 \u043f\u043e \u0433\u043e\u0440\u043e\u0434\u0443. \u041f\u0435\u0440\u043c\u044c \u0441 \u043e\u0434\u043d\u0438\u043c \u0437\u0430\u043a\u0430\u0437\u043e\u043c \u043b\u0438\u0434\u0438\u0440\u0443\u0435\u0442 \u043f\u043e \u0441\u0440\u0435\u0434\u043d\u0435\u043c\u0443, \u043d\u043e \u043d\u0430 \u043e\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0435 \u0432\u044b\u0432\u043e\u0434\u044b \u0434\u0435\u043b\u0430\u0442\u044c \u0440\u0430\u043d\u043e &#8212; \u043f\u043e\u044d\u0442\u043e\u043c\u0443 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">count<\/code> \u0441\u0442\u043e\u0438\u0442 \u0434\u0435\u0440\u0436\u0430\u0442\u044c \u0432 \u0442\u0430\u0431\u043b\u0438\u0446\u0435 \u0440\u044f\u0434\u043e\u043c \u0441\u043e \u0441\u0440\u0435\u0434\u043d\u0438\u043c.<\/li>\n<li><strong>\u0412\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f.<\/strong> <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">matplotlib.use(\"Agg\")<\/code> \u0440\u0438\u0441\u0443\u0435\u0442 \u0431\u0435\u0437 \u043e\u043a\u043d\u0430 &#8212; \u0442\u0430\u043a \u0441\u043a\u0440\u0438\u043f\u0442 \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u0438 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440\u0435. \u0412 Jupyter \u044d\u0442\u0430 \u0441\u0442\u0440\u043e\u043a\u0430 \u043d\u0435 \u043d\u0443\u0436\u043d\u0430, \u0433\u0440\u0430\u0444\u0438\u043a \u043f\u043e\u043a\u0430\u0436\u0435\u0442\u0441\u044f \u0432 \u044f\u0447\u0435\u0439\u043a\u0435.<\/li>\n<\/ol>\n<p>\u0412\u044b\u0432\u043e\u0434 \u0442\u0438\u043f\u043e\u0432 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u0432\u0435\u0440\u0441\u0438\u0438: \u0432 pandas 3 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0435 \u0441\u0442\u043e\u043b\u0431\u0446\u044b \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u043f\u043e\u043b\u0443\u0447\u0430\u044e\u0442 \u0442\u0438\u043f <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">str<\/code>, \u0430 \u0434\u0430\u0442\u044b \u0438\u0437 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">parse_dates<\/code> &#8212; \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">[us]<\/code>. \u0412 pandas 2.x \u0442\u043e\u0442 \u0436\u0435 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0436\u0435\u0442 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">object<\/code> \u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">datetime64[ns]<\/code>. \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u0440\u0430\u0441\u0447\u0435\u0442\u043e\u0432 \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043e\u0434\u0438\u043d\u0430\u043a\u043e\u0432\u044b\u0439.<\/p>\n<h2 id=\"s6\">\u041e\u0448\u0438\u0431\u043a\u0430, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u043e\u0447\u0442\u0438 \u043a\u0430\u0436\u0434\u044b\u0439: \u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438<\/h2>\n<p>\u0415\u0441\u043b\u0438 \u043f\u0440\u043e\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u043e\u0447\u0438\u0441\u0442\u043a\u0443 \u0438 \u0441\u0440\u0430\u0437\u0443 \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0441\u0443\u043c\u043c\u0443 \u0441\u0442\u043e\u043b\u0431\u0446\u0430, \u043f\u0440\u043e\u0447\u0438\u0442\u0430\u043d\u043d\u043e\u0433\u043e \u043a\u0430\u043a \u0442\u0435\u043a\u0441\u0442:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\"><span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">io<\/span>\n<span style=\"color: #C678DD\">import<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">pandas<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #C678DD\">as<\/span><span style=\"color: #ABB2BF\"> <\/span><span style=\"color: #E06C75\">pd<\/span>\n\n<span style=\"color: #E06C75\">raw<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">io<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">StringIO<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #98C379\">\"\"\"order_id,city,amount<\/span>\n<span style=\"color: #98C379\">1,\u041c\u043e\u0441\u043a\u0432\u0430,1200<\/span>\n<span style=\"color: #98C379\">2,\u041a\u0430\u0437\u0430\u043d\u044c,850<\/span>\n<span style=\"color: #98C379\">4,\u041f\u0435\u0440\u043c\u044c,\"2 300\"<\/span>\n<span style=\"color: #98C379\">\"\"\"<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E06C75\">df<\/span> <span style=\"color: #56B6C2\">=<\/span> <span style=\"color: #E06C75\">pd<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">read_csv<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">raw<\/span><span style=\"color: #ABB2BF\">)<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">]<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">sum<\/span><span style=\"color: #ABB2BF\">())<\/span>\n<span style=\"color: #E5C07B\">print<\/span><span style=\"color: #ABB2BF\">(<\/span><span style=\"color: #E06C75\">df<\/span><span style=\"color: #ABB2BF\">[<\/span><span style=\"color: #98C379\">\"amount\"<\/span><span style=\"color: #ABB2BF\">]<\/span><span style=\"color: #56B6C2\">.<\/span><span style=\"color: #E06C75\">mean<\/span><span style=\"color: #ABB2BF\">())<\/span><\/code><\/pre>\n<p>\u0424\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u0432 pandas 3.0:<\/p>\n<pre style=\"background:#282c34;color:#abb2bf;border-radius:8px;padding:16px 20px;margin:20px 0;overflow-x:auto;font-size:14px;line-height:1.55;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\"><code style=\"background:none\">12008502 300\nTraceback (most recent call last):\n  ...\nTypeError: Cannot perform reduction &#x27;mean&#x27; with string dtype\n<\/code><\/pre>\n<p><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">sum<\/code> \u043d\u0435 \u0443\u043f\u0430\u043b, \u0430 \u0441\u043a\u043b\u0435\u0438\u043b \u0441\u0442\u0440\u043e\u043a\u0438 &#8212; \u044d\u0442\u043e \u043e\u043f\u0430\u0441\u043d\u0435\u0435 \u043e\u0448\u0438\u0431\u043a\u0438, \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u00ab\u0447\u0438\u0441\u043b\u043e\u00bb \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u043f\u0440\u0430\u0432\u0434\u043e\u043f\u043e\u0434\u043e\u0431\u043d\u043e. <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">mean<\/code> \u0443\u0436\u0435 \u043f\u0430\u0434\u0430\u0435\u0442 (\u0432 pandas 2.x \u0442\u0435\u043a\u0441\u0442 \u043e\u0448\u0438\u0431\u043a\u0438 \u0434\u0440\u0443\u0433\u043e\u0439: <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Could not convert string '12008502 300' to numeric<\/code>). \u0418\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 &#8212; \u043f\u0440\u0438\u0432\u0435\u0441\u0442\u0438 \u0442\u0438\u043f \u0434\u043e \u0440\u0430\u0441\u0447\u0435\u0442\u043e\u0432, \u043a\u0430\u043a \u0432 \u0448\u0430\u0433\u0435 2 \u043f\u0440\u0438\u043c\u0435\u0440\u0430 \u0432\u044b\u0448\u0435, \u0438 \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442\u044c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u0447\u0435\u0440\u0435\u0437 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">df.dtypes<\/code>: \u0443 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">amount<\/code> \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u0442\u044c \u0447\u0438\u0441\u043b\u043e\u0432\u043e\u0439 \u0442\u0438\u043f (<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">float64<\/code> \u0438\u043b\u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">int64<\/code>).<\/p>\n<h2 id=\"s7\">\u0415\u0441\u043b\u0438 \u043d\u0435 \u043f\u043e\u043b\u0443\u0447\u0438\u043b\u043e\u0441\u044c<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0421\u0438\u043c\u043f\u0442\u043e\u043c<\/th>\n<th>\u0412\u0435\u0440\u043e\u044f\u0442\u043d\u0430\u044f \u043f\u0440\u0438\u0447\u0438\u043d\u0430<\/th>\n<th>\u0427\u0442\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">ModuleNotFoundError: No module named 'pandas'<\/code><\/td>\n<td>\u0411\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 \u043f\u043e\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0430 \u0432 \u0434\u0440\u0443\u0433\u043e\u0435 \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u0435<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">python -m pip install pandas<\/code> \u0442\u0435\u043c \u0436\u0435 \u0438\u043d\u0442\u0435\u0440\u043f\u0440\u0435\u0442\u0430\u0442\u043e\u0440\u043e\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0435\u0442\u0435 \u0441\u043a\u0440\u0438\u043f\u0442<\/td>\n<\/tr>\n<tr>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">UnicodeDecodeError: 'utf-8' codec can't decode byte 0xcc ...<\/code><\/td>\n<td>\u0424\u0430\u0439\u043b \u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d \u0432 cp1251 (\u0447\u0430\u0441\u0442\u043e \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0438 \u0438\u0437 Excel)<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pd.read_csv(\"file.csv\", sep=\";\", encoding=\"cp1251\")<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u0412\u0441\u044f \u0441\u0442\u0440\u043e\u043a\u0430 \u043f\u043e\u043f\u0430\u043b\u0430 \u0432 \u043e\u0434\u0438\u043d \u0441\u0442\u043e\u043b\u0431\u0435\u0446<\/td>\n<td>\u0420\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u044c \u043d\u0435 \u0437\u0430\u043f\u044f\u0442\u0430\u044f, \u0430 \u0442\u043e\u0447\u043a\u0430 \u0441 \u0437\u0430\u043f\u044f\u0442\u043e\u0439<\/td>\n<td>\u0423\u043a\u0430\u0437\u0430\u0442\u044c <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">sep=\";\"<\/code><\/td>\n<\/tr>\n<tr>\n<td>\u0421\u0443\u043c\u043c\u0430 \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u043a\u0430\u043a \u043d\u0430\u0431\u043e\u0440 \u0446\u0438\u0444\u0440 \u043f\u043e\u0434\u0440\u044f\u0434<\/td>\n<td>\u0421\u0442\u043e\u043b\u0431\u0435\u0446 &#8212; \u0441\u0442\u0440\u043e\u043a\u0430, \u0447\u0438\u0441\u043b\u0430 \u0441\u043a\u043b\u0435\u0438\u043b\u0438\u0441\u044c<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pd.to_numeric<\/code> \u043f\u043e\u0441\u043b\u0435 \u043e\u0447\u0438\u0441\u0442\u043a\u0438 \u043f\u0440\u043e\u0431\u0435\u043b\u043e\u0432 \u0438 \u0437\u0430\u043f\u044f\u0442\u044b\u0445<\/td>\n<\/tr>\n<tr>\n<td>\u041f\u043e\u0441\u043b\u0435 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">to_numeric<\/code> \u043f\u0440\u043e\u043f\u0443\u0441\u043a\u043e\u0432 \u0431\u043e\u043b\u044c\u0448\u0435, \u0447\u0435\u043c \u043f\u0443\u0441\u0442\u044b\u0445 \u044f\u0447\u0435\u0435\u043a<\/td>\n<td><code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">errors=\"coerce\"<\/code> \u043c\u043e\u043b\u0447\u0430 \u043f\u0440\u0435\u0432\u0440\u0430\u0442\u0438\u043b \u0432 \u043f\u0440\u043e\u043f\u0443\u0441\u043a \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u043b (\u043d\u0435\u0440\u0430\u0437\u0440\u044b\u0432\u043d\u044b\u0439 \u043f\u0440\u043e\u0431\u0435\u043b, \u0437\u0430\u043f\u044f\u0442\u0430\u044f \u043a\u0430\u043a \u0434\u0435\u0441\u044f\u0442\u0438\u0447\u043d\u044b\u0439 \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u0435\u043b\u044c)<\/td>\n<td>\u041f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0441\u0442\u0440\u043e\u043a\u0438, \u0433\u0434\u0435 \u043f\u043e\u044f\u0432\u0438\u043b\u0441\u044f \u043f\u0440\u043e\u043f\u0443\u0441\u043a; \u0447\u0438\u0441\u0442\u0438\u0442\u044c \u0447\u0435\u0440\u0435\u0437 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">str.replace(r\"\\s\", \"\", regex=True)<\/code>, \u0437\u0430\u043f\u044f\u0442\u0443\u044e \u043c\u0435\u043d\u044f\u0442\u044c \u043d\u0430 \u0442\u043e\u0447\u043a\u0443<\/td>\n<\/tr>\n<tr>\n<td>\u0421\u043a\u0440\u0438\u043f\u0442 \u043e\u0442\u0440\u0430\u0431\u043e\u0442\u0430\u043b, \u043e\u043a\u043d\u0430 \u0441 \u0433\u0440\u0430\u0444\u0438\u043a\u043e\u043c \u043d\u0435\u0442<\/td>\n<td>\u041d\u0435\u0442 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">plt.show()<\/code> \u0438\u043b\u0438 \u0432\u043a\u043b\u044e\u0447\u0435\u043d \u0440\u0435\u0436\u0438\u043c \u0431\u0435\u0437 \u043e\u043a\u043d\u0430<\/td>\n<td>\u0412 \u0441\u043a\u0440\u0438\u043f\u0442\u0435 &#8212; <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">plt.show()<\/code> \u0438\u043b\u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">plt.savefig(...)<\/code>; \u0432 Jupyter \u0433\u0440\u0430\u0444\u0438\u043a \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u044f\u0447\u0435\u0439\u043a\u0435<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"s8\">\u0414\u043e\u0440\u043e\u0436\u043d\u0430\u044f \u043a\u0430\u0440\u0442\u0430: \u043e\u0442 \u043d\u0443\u043b\u044f \u0434\u043e \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u043e\u0442\u0447\u0435\u0442\u0430<\/h2>\n<ol>\n<li>\u041f\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c Python \u0438 Jupyter, \u043f\u0440\u043e\u0433\u043d\u0430\u0442\u044c \u043f\u0440\u0438\u043c\u0435\u0440 \u0432\u044b\u0448\u0435 \u0431\u0435\u0437 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439.<\/li>\n<li>\u0417\u0430\u043c\u0435\u043d\u0438\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043d\u0430 \u0441\u0432\u043e\u044e \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0443 (CSV \u0438\u0437 \u0431\u0430\u043d\u043a\u0430, \u0442\u0440\u0435\u043a\u0435\u0440\u0430 \u0437\u0430\u0434\u0430\u0447, \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430) \u0438 \u043f\u0440\u043e\u0439\u0442\u0438 \u0442\u0435 \u0436\u0435 \u0447\u0435\u0442\u044b\u0440\u0435 \u0448\u0430\u0433\u0430.<\/li>\n<li>\u041d\u0430\u0443\u0447\u0438\u0442\u044c\u0441\u044f <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">pivot_table<\/code>, <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">merge<\/code> (\u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0442\u0430\u0431\u043b\u0438\u0446) \u0438 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u0442\u0430\u043c\u0438: \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0430 \u043f\u043e \u043d\u0435\u0434\u0435\u043b\u044f\u043c \u0438 \u043c\u0435\u0441\u044f\u0446\u0430\u043c.<\/li>\n<li>\u0421\u043e\u0431\u0440\u0430\u0442\u044c \u0430\u0440\u0442\u0435\u0444\u0430\u043a\u0442 &#8212; \u043d\u043e\u0443\u0442\u0431\u0443\u043a, \u0433\u0434\u0435 \u0435\u0441\u0442\u044c \u0432\u043e\u043f\u0440\u043e\u0441, \u043e\u0447\u0438\u0449\u0435\u043d\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435, 2-3 \u0433\u0440\u0430\u0444\u0438\u043a\u0430 \u0438 \u0430\u0431\u0437\u0430\u0446 \u0432\u044b\u0432\u043e\u0434\u0430. \u0422\u0430\u043a\u043e\u0439 \u043d\u043e\u0443\u0442\u0431\u0443\u043a \u0443\u0436\u0435 \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043a\u0430\u0437\u0430\u0442\u044c \u043a\u043e\u043b\u043b\u0435\u0433\u0435 \u0438\u043b\u0438 \u043f\u043e\u043b\u043e\u0436\u0438\u0442\u044c \u0432 \u043f\u043e\u0440\u0442\u0444\u043e\u043b\u0438\u043e.<\/li>\n<\/ol>\n<p>\u041f\u043e\u0434\u0440\u043e\u0431\u043d\u0435\u0435 \u043f\u0440\u043e \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u043e <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">Series<\/code> \u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">DataFrame<\/code> &#8212; \u0432 \u0441\u0442\u0430\u0442\u044c\u0435 <a href=\"\/journal\/osnovy-raboty-s-pandas-series-i-dataframes\/\">\u041e\u0441\u043d\u043e\u0432\u044b \u0440\u0430\u0431\u043e\u0442\u044b \u0441 pandas: Series \u0438 DataFrame<\/a>, \u0430 \u043f\u0440\u043e \u043c\u0435\u0441\u0442\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0432 \u0431\u043e\u043b\u0435\u0435 \u0448\u0438\u0440\u043e\u043a\u043e\u0439 \u043a\u0430\u0440\u0442\u0438\u043d\u0435 &#8212; \u0432 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u0435 <a href=\"\/journal\/vvedenie-v-data-science-pervye-shagi-v-analize-dannyh\/\">\u0412\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 Data Science<\/a>.<\/p>\n<h2 id=\"s9\">\u0412\u044b\u0432\u043e\u0434\u044b<\/h2>\n<ul>\n<li>\u0410\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 Python &#8212; \u044d\u0442\u043e \u0441\u0431\u043e\u0440, \u043e\u0447\u0438\u0441\u0442\u043a\u0430, \u0430\u043d\u0430\u043b\u0438\u0437 \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u043a\u043e\u0434\u043e\u043c; \u044d\u0442\u0430\u043f\u044b \u043f\u043e\u0432\u0442\u043e\u0440\u044f\u044e\u0442\u0441\u044f \u043f\u043e \u043a\u0440\u0443\u0433\u0443, \u0430 \u043d\u0435 \u0438\u0434\u0443\u0442 \u0441\u0442\u0440\u043e\u0433\u043e \u043e\u0434\u0438\u043d \u0440\u0430\u0437.<\/li>\n<li>NumPy \u0434\u0430\u0435\u0442 \u0431\u044b\u0441\u0442\u0440\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u043d\u0430\u0434 \u043c\u0430\u0441\u0441\u0438\u0432\u0430\u043c\u0438, pandas &#8212; \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u0438 \u0433\u0440\u0443\u043f\u043f\u0438\u0440\u043e\u0432\u043a\u0438 \u043f\u043e\u0432\u0435\u0440\u0445 NumPy, Matplotlib &#8212; \u0433\u0440\u0430\u0444\u0438\u043a\u0438; \u043d\u0430\u0447\u0438\u043d\u0430\u0442\u044c \u0443\u0434\u043e\u0431\u043d\u0435\u0435 \u0441 pandas.<\/li>\n<li>\u041f\u0435\u0440\u0432\u043e\u0435 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0435 \u0441 \u043d\u043e\u0432\u044b\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 &#8212; \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442\u044c \u0442\u0438\u043f\u044b \u0441\u0442\u043e\u043b\u0431\u0446\u043e\u0432: \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0439 \u0441\u0442\u043e\u043b\u0431\u0435\u0446 \u0441 \u0447\u0438\u0441\u043b\u0430\u043c\u0438 \u0432 pandas \u0441\u043a\u043b\u0435\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u0438 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">sum<\/code> \u0432\u043c\u0435\u0441\u0442\u043e \u0441\u043b\u043e\u0436\u0435\u043d\u0438\u044f.<\/li>\n<li>\u041f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u0432\u0435\u0440\u0441\u0438\u0438: pandas 3 \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0445\u0440\u0430\u043d\u0438\u0442 \u0442\u0435\u043a\u0441\u0442 \u043a\u0430\u043a <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">str<\/code>, pandas 2 &#8212; \u043a\u0430\u043a <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">object<\/code>.<\/li>\n<li>\u0414\u043b\u044f \u043d\u0435\u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u0440\u0430\u0437\u043e\u0432\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u043f\u043e\u0434\u043e\u0439\u0434\u0435\u0442 Excel, \u0434\u043b\u044f \u0430\u0433\u0440\u0435\u0433\u0430\u0442\u043e\u0432 \u0432 \u0431\u0430\u0437\u0435 &#8212; SQL; Python \u0432\u044b\u0438\u0433\u0440\u044b\u0432\u0430\u0435\u0442, \u043a\u043e\u0433\u0434\u0430 \u0448\u0430\u0433\u0438 \u043d\u0443\u0436\u043d\u043e \u043f\u043e\u0432\u0442\u043e\u0440\u044f\u0442\u044c \u0438 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c.<\/li>\n<\/ul>\n<h2 id=\"s10\">\u0413\u0434\u0435 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u0442\u0441\u044f \/ \u0441\u0432\u044f\u0437\u044c \u0441 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u043e\u0439<\/h2>\n<div class=\"oj-cta\" style=\"background:#fbf4e4;border-left:4px solid #c9962b;border-radius:8px;padding:16px 20px;margin:24px 0\">\n<p style=\"margin:0 0 8px\"><strong>\u041e\u0441\u0432\u043e\u0439\u0442\u0435 \u0442\u0435\u043c\u0443 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435<\/strong><\/p>\n<p>\u0422\u0435 \u0436\u0435 \u0447\u0435\u0442\u044b\u0440\u0435 \u0448\u0430\u0433\u0430 \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0442\u0441\u044f \u0432 \u043e\u0442\u0447\u0435\u0442\u0430\u0445 \u043f\u043e \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c, \u0430\u043d\u0430\u043b\u0438\u0437\u0435 \u0432\u043e\u0440\u043e\u043d\u043a\u0438 \u0438 \u043c\u0430\u0440\u043a\u0435\u0442\u0438\u043d\u0433\u043e\u0432\u044b\u0445 \u043a\u0430\u043c\u043f\u0430\u043d\u0438\u0439, \u0440\u0430\u0437\u0431\u043e\u0440\u0435 \u043b\u043e\u0433\u043e\u0432 \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0434\u043b\u044f \u043c\u043e\u0434\u0435\u043b\u0435\u0439. \u0420\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 \u0443\u0447\u0435\u0431\u043d\u044b\u043c \u0438 \u0440\u0430\u0431\u043e\u0447\u0438\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u043c &#8212; \u0432 \u043e\u0431\u044a\u0435\u043c\u0435 \u0438 \u0433\u0440\u044f\u0437\u0438 \u0434\u0430\u043d\u043d\u044b\u0445, \u043d\u043e \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0442\u0435 \u0436\u0435. \u0421\u0438\u0441\u0442\u0435\u043c\u043d\u043e \u043f\u0440\u043e\u0439\u0442\u0438 \u043f\u0443\u0442\u044c \u043e\u0442 \u043e\u0441\u043d\u043e\u0432 Python \u0434\u043e \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u043e\u0442\u0447\u0435\u0442\u043e\u0432 \u043d\u0430 pandas \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u043c\u043e\u0436\u043d\u043e \u043d\u0430 \u043a\u0443\u0440\u0441\u0435 <a href=\"https:\/\/otus.ru\/lessons\/python-dlja-analiza-dannyh\/?int_article=osobennosti-analiza-dannyh-s-python&amp;int_place=article&amp;int_variant=v1\">\u00abPython \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0438\u00bb<\/a>. \u041f\u043e\u043f\u0440\u043e\u0431\u043e\u0432\u0430\u0442\u044c \u0444\u043e\u0440\u043c\u0430\u0442 \u0438 \u0437\u0430\u0434\u0430\u0442\u044c \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0430\u043c \u043c\u043e\u0436\u043d\u043e \u043d\u0430 <a href=\"https:\/\/otus.ru\/events\/?int_article=osobennosti-analiza-dannyh-s-python&amp;int_place=article&amp;int_variant=v1\">\u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0445 \u0443\u0440\u043e\u043a\u0430\u0445 Otus<\/a>.<\/p>\n<\/div>\n<h2 id=\"s11\">FAQ<\/h2>\n<p><strong>\u041d\u0443\u0436\u043d\u043e \u043b\u0438 \u0437\u043d\u0430\u0442\u044c \u043c\u0430\u0442\u0435\u043c\u0430\u0442\u0438\u043a\u0443, \u0447\u0442\u043e\u0431\u044b \u043d\u0430\u0447\u0430\u0442\u044c \u0430\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 Python?<\/strong><br \/>\n\u0414\u043b\u044f \u043f\u0435\u0440\u0432\u044b\u0445 \u043e\u0442\u0447\u0435\u0442\u043e\u0432 \u0445\u0432\u0430\u0442\u0430\u0435\u0442 \u0430\u0440\u0438\u0444\u043c\u0435\u0442\u0438\u043a\u0438, \u043f\u0440\u043e\u0446\u0435\u043d\u0442\u043e\u0432 \u0438 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u044f \u0441\u0440\u0435\u0434\u043d\u0435\u0433\u043e \u0438 \u043c\u0435\u0434\u0438\u0430\u043d\u044b. \u0421\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0430 \u043f\u043e\u043d\u0430\u0434\u043e\u0431\u0438\u0442\u0441\u044f, \u043a\u043e\u0433\u0434\u0430 \u043f\u043e\u044f\u0432\u044f\u0442\u0441\u044f \u0432\u044b\u0432\u043e\u0434\u044b \u0432\u0438\u0434\u0430 \u00ab\u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u043c\u0435\u0436\u0434\u0443 \u0433\u0440\u0443\u043f\u043f\u0430\u043c\u0438 \u043d\u0435\u0441\u043b\u0443\u0447\u0430\u0439\u043d\u0430\u00bb.<\/p>\n<p><strong>\u0427\u0435\u043c Jupyter Notebook \u043e\u0442\u043b\u0438\u0447\u0430\u0435\u0442\u0441\u044f \u043e\u0442 \u043e\u0431\u044b\u0447\u043d\u043e\u0433\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u0430 <code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">.py<\/code>?<\/strong><br \/>\n\u0412 \u043d\u043e\u0443\u0442\u0431\u0443\u043a\u0435 \u043a\u043e\u0434 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442\u0441\u044f \u043f\u043e \u044f\u0447\u0435\u0439\u043a\u0430\u043c, \u0430 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0438 \u0433\u0440\u0430\u0444\u0438\u043a\u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u044e\u0442\u0441\u044f \u0440\u044f\u0434\u043e\u043c \u0441 \u043a\u043e\u0434\u043e\u043c &#8212; \u0443\u0434\u043e\u0431\u043d\u043e \u0434\u043b\u044f \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f. \u0421\u043a\u0440\u0438\u043f\u0442 \u0443\u0434\u043e\u0431\u043d\u0435\u0435 \u0437\u0430\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u043f\u043e \u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0438 \u0445\u0440\u0430\u043d\u0438\u0442\u044c \u0432 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0438.<\/p>\n<p><strong>\u0421\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u0442\u0440\u043e\u043a \u0432\u044b\u0434\u0435\u0440\u0436\u0438\u0442 pandas?<\/strong><br \/>\n\u0416\u0435\u0441\u0442\u043a\u043e\u0433\u043e \u043b\u0438\u043c\u0438\u0442\u0430 \u043d\u0435\u0442: \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u0435 &#8212; \u043e\u043f\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u0430\u044f \u043f\u0430\u043c\u044f\u0442\u044c, \u0430 \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u0432 \u043f\u0430\u043c\u044f\u0442\u0438 \u043e\u0431\u044b\u0447\u043d\u043e \u0437\u0430\u043d\u0438\u043c\u0430\u0435\u0442 \u0431\u043e\u043b\u044c\u0448\u0435, \u0447\u0435\u043c CSV \u043d\u0430 \u0434\u0438\u0441\u043a\u0435. \u0414\u043b\u044f \u0434\u0430\u043d\u043d\u044b\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u043f\u043e\u043c\u0435\u0449\u0430\u044e\u0442\u0441\u044f, \u0447\u0438\u0442\u0430\u044e\u0442 \u0444\u0430\u0439\u043b \u0447\u0430\u0441\u0442\u044f\u043c\u0438 (<code style=\"background:#eef0f3;color:#24292f;border-radius:4px;padding:1px 5px;font-size:0.92em;font-family:ui-monospace,SFMono-Regular,Menlo,Consolas,monospace\">chunksize<\/code>) \u0438\u043b\u0438 \u0441\u0447\u0438\u0442\u0430\u044e\u0442 \u0430\u0433\u0440\u0435\u0433\u0430\u0442\u044b \u0437\u0430\u0440\u0430\u043d\u0435\u0435 \u0432 \u0431\u0430\u0437\u0435.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0410\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 Python &#8212; \u044d\u0442\u043e \u0440\u0430\u0431\u043e\u0442\u0430 \u0441 \u0442\u0430\u0431\u043b\u0438\u0446\u0430\u043c\u0438, \u043b\u043e\u0433\u0430\u043c\u0438 \u0438 \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0430\u043c\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0434\u0430\u043d\u043d\u044b\u0435 \u0441\u043e\u0431\u0438\u0440\u0430\u044e\u0442, \u0447\u0438\u0441\u0442\u044f\u0442, \u0441\u0447\u0438\u0442\u0430\u044e\u0442 \u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u044e\u0442 \u043a\u043e\u0434\u043e\u043c \u043d\u0430 Python \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a NumPy, pandas \u0438 Matplotlib. \u0421\u0430\u043c \u044f\u0437\u044b\u043a \u0437\u0434\u0435\u0441\u044c &#8212; \u00ab\u043a\u043b\u0435\u0439\u00bb \u043c\u0435\u0436\u0434\u0443 \u0448\u0430\u0433\u0430\u043c\u0438: \u0442\u044f\u0436\u0435\u043b\u044b\u0435 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u044f \u0432\u043d\u0443\u0442\u0440\u0438 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u044b \u043d\u0430 C \u0438 \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 \u0431\u044b\u0441\u0442\u0440\u0435\u0435 \u043e\u0431\u044b\u0447\u043d\u044b\u0445 \u0446\u0438\u043a\u043b\u043e\u0432 Python. \u041d\u0438\u0436\u0435 &#8212; \u044d\u0442\u0430\u043f\u044b \u0440\u0430\u0431\u043e\u0442\u044b, \u0440\u043e\u043b\u0438 [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":1926,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[27],"class_list":["post-1925","post","type-post","status-publish","format-standard","has-post-thumbnail","","category-polza","tag-python"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0427\u0442\u043e \u0442\u0430\u043a\u043e\u0435 \u0430\u043d\u0430\u043b\u0438\u0437 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 Python: \u044d\u0442\u0430\u043f\u044b \u043e\u0442 \u0441\u0431\u043e\u0440\u0430 \u0434\u043e \u0433\u0440\u0430\u0444\u0438\u043a\u0430, \u0440\u043e\u043b\u0438 NumPy, pandas \u0438 Matplotlib, \u043f\u0435\u0440\u0432\u044b\u0439 \u0440\u0430\u0431\u043e\u0447\u0438\u0439 \u043f\u0440\u0438\u043c\u0435\u0440 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