GITHUB . COM {}

Matching Content Categories {📚}

• Politics
• Technology & Computing
• Law & Government

Content Management System {📝}

What CMS is github.com built with?

Github.com operates using WORDPRESS.

Traffic Estimate {📈}

What is the average monthly size of github.com audience?

🚀🌠 Tremendous Traffic: 10M - 20M visitors per month


Based on our best estimate, this website will receive around 10,000,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Github.com Make Money? {💸}

Subscription Packages {💳}

How Much Does Github.com Make? {💰}

Subscription Packages {💳}

Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 5,013,426 paying customers.
The estimated monthly recurring revenue (MRR) is $21,056,387.
The estimated annual recurring revenues (ARR) are $252,676,649.

Wordpress Themes and Plugins {🎨}

What WordPress theme does this site use?

It is strange but we were not able to detect any theme on the page.

What WordPress plugins does this website use?

It is strange but we were not able to detect any plugins on the page.

Keywords {🔍}

gender, female, bug, index, categorical, country, column, numberpioso, pandas, issue, object, dtype, male, type, seriesgroupbyvaluecounts, missing, int, added, sign, applied, valuecounts, printdfgroupbycountrygendervaluecounts, algos, code, projects, donok, import, education, low, dfgender, dfgenderastypecategory, commented, contributor, problem, navigation, solutions, pull, requests, actions, security, closed, description, confirmed, exists, high, dfdtypes, dfgroupbycountrygendervaluecounts, dfgroupbycountrygendervaluecountsindexnames, frozenlistcountry, category,

Topics {✒️}

[ pandas/pandas/core/groupby/generic pandas/core/groupby/generic object type column handling categorical types categorical type numberpioso added personal information bug type projects object df df['gender'] = df['gender'] type category projects milestone 1 issue description solutions import pandas subclasses type 'education' bug exists bug starting arithmetic algos genre column triage issue github index class int64 country added value_counts - index value_counts index int64 df country gender latest version master branch names frozenlist top level backward compatible return apply_series_value_counts elif is_categorical_dtype simply delete fall back 100% complete relationships pandas df = pd bug applying value_counts problem solved column issue groupby 5 closed index

Payment Methods {📊}

• Braintree

Questions {❓}

• Already have an account?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: SeriesGroupBy.value_counts - index name missing when applied on categorical column
      articleBody:### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame({'gender': ['female', 'male', 'female', 'male', 'female', 'male'], 'education': ['low', 'medium', 'high', 'low', 'high', 'low'], 'country': ['US', 'FR', 'US', 'FR', 'FR', 'US']}) df.dtypes gender object education object country object dtype: object df.groupby('country')['gender'].value_counts() country gender FR male 2 female 1 US female 2 male 1 Name: gender, dtype: int64 df.groupby('country')['gender'].value_counts().index.names FrozenList(['country', 'gender']) ``` Now, if using a categorical type on the genre column, the column name is not saved in the index: ```python df['gender'] = df['gender'].astype('category') df.dtypes gender category education object country object dtype: object df.groupby('country')['gender'].value_counts() country FR male 2 female 1 US female 2 male 1 Name: gender, dtype: int64 df.groupby('country')['gender'].value_counts().index.names FrozenList(['country', None]) ``` ### Issue Description The column name (here **gender**) is dropped when applying `value_counts()` on a column of type `category`. It might be link with other problems in handling categorical types: #44001 This was working as of pandas v 1.2.3, and I could reproduce the bug starting with v 1.3.0, still present in v 1.3.4 ### Expected Behavior Column name should be added in the index for uniformity with other types, as in the first example above with object type column. ### Installed Versions <details> pd.show_versions() INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.6.final.0 python-bits : 64 OS : Darwin OS-release : 21.1.0 Version : Darwin Kernel Version 21.1.0: Wed Oct 13 17:33:23 PDT 2021; root:xnu-8019.41.5~1/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : None LOCALE : None.UTF-8 pandas : 1.3.4 numpy : 1.21.4 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3.1 setuptools : 57.0.0 Cython : None pytest : 6.2.4 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.1 IPython : 7.26.0 pandas_datareader: None bs4 : 4.9.3 bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : None tables : None tabulate : 0.8.9 xarray : 0.19.0 xlrd : None xlwt : None numba : None </details>
      author:
         url:https://github.com/donok1
         type:Person
         name:donok1
      datePublished:2021-11-05T14:24:46.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:3
      url:https://github.com/44324/pandas/issues/44324
      context:https://schema.org
      headline:BUG: SeriesGroupBy.value_counts - index name missing when applied on categorical column
      articleBody:### - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the master branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame({'gender': ['female', 'male', 'female', 'male', 'female', 'male'], 'education': ['low', 'medium', 'high', 'low', 'high', 'low'], 'country': ['US', 'FR', 'US', 'FR', 'FR', 'US']}) df.dtypes gender object education object country object dtype: object df.groupby('country')['gender'].value_counts() country gender FR male 2 female 1 US female 2 male 1 Name: gender, dtype: int64 df.groupby('country')['gender'].value_counts().index.names FrozenList(['country', 'gender']) ``` Now, if using a categorical type on the genre column, the column name is not saved in the index: ```python df['gender'] = df['gender'].astype('category') df.dtypes gender category education object country object dtype: object df.groupby('country')['gender'].value_counts() country FR male 2 female 1 US female 2 male 1 Name: gender, dtype: int64 df.groupby('country')['gender'].value_counts().index.names FrozenList(['country', None]) ``` ### Issue Description The column name (here **gender**) is dropped when applying `value_counts()` on a column of type `category`. It might be link with other problems in handling categorical types: #44001 This was working as of pandas v 1.2.3, and I could reproduce the bug starting with v 1.3.0, still present in v 1.3.4 ### Expected Behavior Column name should be added in the index for uniformity with other types, as in the first example above with object type column. ### Installed Versions <details> pd.show_versions() INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.6.final.0 python-bits : 64 OS : Darwin OS-release : 21.1.0 Version : Darwin Kernel Version 21.1.0: Wed Oct 13 17:33:23 PDT 2021; root:xnu-8019.41.5~1/RELEASE_X86_64 machine : x86_64 processor : i386 byteorder : little LC_ALL : None LANG : None LOCALE : None.UTF-8 pandas : 1.3.4 numpy : 1.21.4 pytz : 2021.3 dateutil : 2.8.2 pip : 21.3.1 setuptools : 57.0.0 Cython : None pytest : 6.2.4 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.6.3 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.1 IPython : 7.26.0 pandas_datareader: None bs4 : 4.9.3 bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : None tables : None tabulate : 0.8.9 xarray : 0.19.0 xlrd : None xlwt : None numba : None </details>
      author:
         url:https://github.com/donok1
         type:Person
         name:donok1
      datePublished:2021-11-05T14:24:46.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:3
      url:https://github.com/44324/pandas/issues/44324
Person:
      url:https://github.com/donok1
      name:donok1
      url:https://github.com/donok1
      name:donok1
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:3
      interactionType:https://schema.org/CommentAction
      userInteractionCount:3

External Links {🔗}(3)

• What's the revenue for https://github.blog?
• Learn about the earnings of https://pandas.pydata.org/docs/whatsnew/index.html
• How much profit does https://www.githubstatus.com/ generate?

Analytics and Tracking {📊}

• Site Verification - Google

Libraries {📚}

• Clipboard.js
• D3.js
• GSAP
• Lodash

Emails and Hosting {✉️}

Mail Servers:

• aspmx.l.google.com
• alt1.aspmx.l.google.com
• alt2.aspmx.l.google.com
• alt3.aspmx.l.google.com
• alt4.aspmx.l.google.com

Name Servers:

• dns1.p08.nsone.net
• dns2.p08.nsone.net
• dns3.p08.nsone.net
• dns4.p08.nsone.net
• ns-1283.awsdns-32.org
• ns-1707.awsdns-21.co.uk
• ns-421.awsdns-52.com
• ns-520.awsdns-01.net