GITHUB . COM {}

Matching Content Categories {📚}

• Mobile Technology & AI
• Technology & Computing
• Social Networks

Content Management System {📝}

What CMS is github.com built with?

Github.com employs 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 4,989,889 paying customers.
The estimated monthly recurring revenue (MRR) is $20,957,532.
The estimated annual recurring revenues (ARR) are $251,490,385.

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 {🔍}

sortfalse, rhshadrach, code, bug, groupby, issue, printdfgroupbya, sign, nans, transform, nan, algos, apply, projects, closed, milestone, npnan, factorize, added, navigation, pull, requests, actions, security, places, null, dropnafalsegrouperresultindex, floatindex, dtypefloat, namea, missingdata, pdnat, pdna, dropna, isnull, interpolate, nonarithmetic, valuecounts, sorting, isin, clip, shift, diff, aggregate, map, mentioned, github, type, footer, skip,

Topics {✒️}

personal information bug comment metadata assignees diff apply apply assigned labels algos projects milestone 1 type projects minor issue null groupers bug sort=false sort=true arithmetic algos incorrect prior dtype='float64' group encountered properly ordered interpolate type 100% complete relationships dropna=false issue np 5 closed largest code places nans github transform depends milestone 1 transform op df = pd groupby factorize dropna code code 2 sign nans op transform pd df skip jump introduced output pr reporting kind fixed whatsnew moved

Payment Methods {📊}

• Braintree

Questions {❓}

• Already have an account?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: groupby with nans always places nans last
      articleBody:Marking as milestone 1.5 because this issue was introduced by #45953. While the output of the transform op below was also incorrect prior to this PR, we are reporting this kind of op as being fixed in the whatsnew. When specifying `sort=False` and `dropna=False` in groupby, any null groupers are moved to the end, even when `sort=False`: ``` df = pd.DataFrame({'a': [1, 3, np.nan, 1, 2], 'b': [3, 4, 5, 6, 7]}) print(df.groupby('a', sort=False, dropna=False).grouper.result_index) print(df.groupby('a', sort=True, dropna=False).grouper.result_index) print(df.groupby('a', sort=False, dropna=False).sum()) ``` gives ``` Float64Index([1.0, 3.0, 2.0, nan], dtype='float64', name='a') Float64Index([1.0, 2.0, 3.0, nan], dtype='float64', name='a') b a 1.0 9 3.0 4 2.0 7 NaN 5 ``` This is because nan is always given the largest code from factorize: ``` print(df.groupby('a', sort=False, dropna=False).codes) # np.nan's code is 3, even though it is the third group encountered and so should be code 2. [array([0, 1, 3, 0, 2])] ``` While only a minor issue for aggregations, transform depends on the code being properly ordered. ``` print(df.groupby('a', sort=False, dropna=False).transform(lambda x: x)) # Should be 3, 4, 5, 6, 7 b 0 3 1 4 2 7 3 6 4 5 ```
      author:
         url:https://github.com/rhshadrach
         type:Person
         name:rhshadrach
      datePublished:2022-03-31T12:31:51.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:0
      url:https://github.com/46584/pandas/issues/46584
      context:https://schema.org
      headline:BUG: groupby with nans always places nans last
      articleBody:Marking as milestone 1.5 because this issue was introduced by #45953. While the output of the transform op below was also incorrect prior to this PR, we are reporting this kind of op as being fixed in the whatsnew. When specifying `sort=False` and `dropna=False` in groupby, any null groupers are moved to the end, even when `sort=False`: ``` df = pd.DataFrame({'a': [1, 3, np.nan, 1, 2], 'b': [3, 4, 5, 6, 7]}) print(df.groupby('a', sort=False, dropna=False).grouper.result_index) print(df.groupby('a', sort=True, dropna=False).grouper.result_index) print(df.groupby('a', sort=False, dropna=False).sum()) ``` gives ``` Float64Index([1.0, 3.0, 2.0, nan], dtype='float64', name='a') Float64Index([1.0, 2.0, 3.0, nan], dtype='float64', name='a') b a 1.0 9 3.0 4 2.0 7 NaN 5 ``` This is because nan is always given the largest code from factorize: ``` print(df.groupby('a', sort=False, dropna=False).codes) # np.nan's code is 3, even though it is the third group encountered and so should be code 2. [array([0, 1, 3, 0, 2])] ``` While only a minor issue for aggregations, transform depends on the code being properly ordered. ``` print(df.groupby('a', sort=False, dropna=False).transform(lambda x: x)) # Should be 3, 4, 5, 6, 7 b 0 3 1 4 2 7 3 6 4 5 ```
      author:
         url:https://github.com/rhshadrach
         type:Person
         name:rhshadrach
      datePublished:2022-03-31T12:31:51.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:0
      url:https://github.com/46584/pandas/issues/46584
Person:
      url:https://github.com/rhshadrach
      name:rhshadrach
      url:https://github.com/rhshadrach
      name:rhshadrach
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:0
      interactionType:https://schema.org/CommentAction
      userInteractionCount:0

External Links {🔗}(2)

• Check the income stats for https://github.blog
• How much does https://www.githubstatus.com/ net monthly?

Analytics and Tracking {📊}

• Site Verification - Google

Libraries {📚}

• Clipboard.js
• D3.js
• 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