{"id":32571,"date":"2025-02-11T00:27:29","date_gmt":"2025-02-10T23:27:29","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/how-can-i-access-ipums-csv-data-using-python\/"},"modified":"2025-02-11T00:27:29","modified_gmt":"2025-02-10T23:27:29","slug":"how-can-i-access-ipums-csv-data-using-python","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/how-can-i-access-ipums-csv-data-using-python\/","title":{"rendered":"How Can I Access IPUMS .CSV Data Using Python?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Hello. I\u2019ve been trying to access an IPUMS (.CSV) data using Python, but it\u2019s not letting me. I would like to view the first 1000 rows of data and all columns (independent variables). <\/p>\n<p>So far, I have this: <\/p>\n<p>import readers<\/p>\n<p>import pandas as pd <\/p>\n<p>import requests <\/p>\n<p>print(\u201cPandas version:\u201d, pd.<strong>version<\/strong>) print(\u201cRequests version:\u201d, requests.<strong>version<\/strong>) <\/p>\n<p>ddi = readers.read_ipums_ddi(r\u201dC:UsersjennyDownloadsusa_00003.xml\u201d) ipums_df = readers.read_microdata(ddi, r\u201dC:UsersjennyDownloadsusa_00003.csv.gz\u201d)<\/p>\n<p>iter_microdata = readers.read_microdata_chunked(ddi, chunksize=1000)<\/p>\n<p>df = next(iter_microdata) <\/p>\n<p>\u2026 <\/p>\n<p>What am I doing wrong? <\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/jenny-0515\"> \/u\/jenny-0515 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1imke6s\/how_can_i_access_ipums_csv_data_using_python\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1imke6s\/how_can_i_access_ipums_csv_data_using_python\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-32571 jlk' href='javascript:void(0)' data-task='like' data-post_id='32571' data-nonce='d2f36e926b' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-32571 lc'>0<\/span><\/a><\/div><\/div> <div class='status-32571 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Hello. I\u2019ve been trying to access an IPUMS (.CSV) data using Python, but it\u2019s not letting me&#8230;.<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-32571","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/32571","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=32571"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/32571\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=32571"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=32571"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=32571"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}