{"id":2213,"date":"2019-07-03T06:39:51","date_gmt":"2019-07-03T04:39:51","guid":{"rendered":"https:\/\/pythonprogramming.altervista.org\/?p=2213"},"modified":"2020-02-27T13:48:23","modified_gmt":"2020-02-27T12:48:23","slug":"pandas-series","status":"publish","type":"post","link":"https:\/\/pythonprogramming.altervista.org\/pandas-series\/","title":{"rendered":"Pandas series"},"content":{"rendered":"<p>You can have a serie like this in pandas<\/p>\n<pre class=\"lang:default decode:true \">import pandas as pd\r\n\r\ns = pd.Series([1,2,3])<\/pre>\n<p>The output being this<\/p>\n<pre class=\"lang:default decode:true\">0    1                                                \r\n1    2                                                \r\n2    3<\/pre>\n<p>You can use index and have this change<\/p>\n<pre class=\"lang:default decode:true \">s = pd.Series([1,2,3],\r\n\tindex=[\"day 1\", \"day 2\", \"day 3\"])\r\n<\/pre>\n<p>that is<\/p>\n<pre class=\"lang:default decode:true \">day 1    1                                            \r\nday 2    2                                            \r\nday 3    3<\/pre>\n<h2>Choose only one row<\/h2>\n<pre class=\"lang:default decode:true \">print(s[\"day 3\"])<\/pre>\n<p>The output will be<\/p>\n<p>3<\/p>\n<h2>Using a dictionary as values of the serie<\/h2>\n<pre class=\"lang:default decode:true \">import pandas as pd\r\n\r\nvalues = {\r\n\t\t\"day 1\": 1,\r\n\t\t\"day 2\": 2,\r\n\t\t\"day 3\": 3}\r\n\r\ns = pd.Series(values)<\/pre>\n<p>the output<\/p>\n<pre class=\"lang:default decode:true \">day 1    1\r\nday 2    2\r\nday 3    3<\/pre>\n<h2>Using numpy and arange<\/h2>\n<pre class=\"lang:default decode:true \">import pandas as pd\r\nimport numpy as np\r\n\r\na = np.arange(9)\r\n\r\ns = pd.Series(a)<\/pre>\n<p>output<\/p>\n<pre class=\"lang:default decode:true \">0    0\r\n1    1\r\n2    2\r\n3    3\r\n4    4\r\n5    5\r\n6    6\r\n7    7\r\n8    8<\/pre>\n<p>another way<\/p>\n<pre class=\"lang:default decode:true \">import pandas as pd\r\nimport numpy as np\r\n\r\na = np.arange(9)\r\n\r\ns = pd.Series(1, index=a)<\/pre>\n<p>the output will be<\/p>\n<pre class=\"lang:default decode:true \">0    1\r\n1    1\r\n2    1\r\n3    1\r\n4    1\r\n5    1\r\n6    1\r\n7    1\r\n8    1<\/pre>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\" title=\"Python Pandas | Series\" width=\"747\" height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/Bm_5WD2Zb08?feature=oembed&amp;enablejsapi=1\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"How to use Series in Pandas\n<a class=\"moretag\" href=\"https:\/\/pythonprogramming.altervista.org\/pandas-series\/\"> [...]<\/a>","protected":false},"author":1,"featured_media":5203,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","footnotes":""},"categories":[1,683],"tags":[313,733,495,732],"class_list":["post-2213","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-examples","category-pandas-2","tag-basic","tag-numpy","tag-pandas","tag-series"],"avopt_banners_inside_post":true,"avopt_banners_on_page":true,"av_copy_from":"","av_sharing_message":"","av_sharing_allowed":false,"av_sharing_on":{"fb":[],"tw":[]},"av_allow_affiliate_banner":false,"av_allow_affiliate_multi_banner":false,"av_show_affiliation_buy_button":false,"av_post_rating":true,"av_have_post_rating_value":false,"av_is_artificial_intelligence_content":false,"_links":{"self":[{"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/posts\/2213","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/comments?post=2213"}],"version-history":[{"count":3,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/posts\/2213\/revisions"}],"predecessor-version":[{"id":5199,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/posts\/2213\/revisions\/5199"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/media\/5203"}],"wp:attachment":[{"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/media?parent=2213"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/categories?post=2213"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pythonprogramming.altervista.org\/wp-json\/wp\/v2\/tags?post=2213"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}