GITHUB . COM {}

Detected CMS Systems:

Wordpress (2 occurrences)

Analyzed Page
Matching Content Categories
CMS
Monthly Traffic Estimate
How Does Github.com Make Money
How Much Does Github.com Make
Wordpress Themes And Plugins
Keywords
Topics
Payment Methods
Questions
Schema
External Links
Analytics And Tracking
Libraries
Hosting Providers

We are analyzing https://github.com/pandas-dev/pandas/issues/47563.

Title:
DEPR: `sort_columns` in `plot` · Issue #47563 · pandas-dev/pandas
Description:
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example imp...
Website Age:
17 years and 8 months (reg. 2007-10-09).

Matching Content Categories {📚}

Technology & Computing
Video & Online Content
Careers

Content Management System {📝}

What CMS is github.com built with?

Github.com uses 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 {💳}

We've located a dedicated page on github.com that might include details about subscription plans or recurring payments. We identified it based on the word pricing in one of its internal links. Below, you'll find additional estimates for its monthly recurring revenues.

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 {🔍}

pandas, issue, plot, sortcolumns, yagogg, depr, bug, added, member, sign, porcelainmouse, option, triage, reviewed, team, phofl, projects, commented, navigation, pandasdev, pull, requests, actions, security, description, version, confirmed, exists, import, nprandomnormal, doesnt, work, ordering, visualization, plotting, removed, mroeschke, deprecate, functionality, remove, github, type, milestone, footer, skip, content, menu, product, solutions, resources,

Topics {✒️}

1dceb07 yagogg mentioned phofl added personal information depr sort column names np import pandas issue description determine plot ordering latest version type projects projects milestone plot option sort_columns triage issue bug exists pandas import numpy means ordering github removed bug main branch } df1[['b' df1[['b' documentation describes expected behavior make sense easily accomplished reasonable solution milestone relationships sort_columns=true issue depr plot `plot` np 'b' option work removed sort_columns `sort_columns` skip jump sign checked reported confirmed reproducible dataframe random normal 'a']]

Payment Methods {📊}

Braintree

Questions {❓}

Already have an account?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:DEPR: `sort_columns` in `plot`
      articleBody:### Pandas version checks - [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. - [x] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import numpy as np import pandas as pd df1 = pd.DataFrame({ 'a' : np.random.normal(0,1,10), 'b' : np.random.normal(0,1,10), )} df1[['b','a']].plot.box(sort_columns=True) df1[['b','a']].sort_index(axis=1).plot.box() ``` ### Issue Description Best I can tell, this option just doesn't work. The documentation describes the result of this option as "Sort column names to determine plot ordering." It is clear this means ordering the columns by name, presumably lexically. But, instead, this is what it does: ![bug_python_sort](https://user-images.githubusercontent.com/159714/176798335-3d8ad908-f539-4cc6-810e-b499d71dbcb6.png) ### Expected Behavior I interpret this option to be equivalent to .sort_index(axis=1), which works. ![bug_python_sort_workaround](https://user-images.githubusercontent.com/159714/176798439-86e8d98b-572d-4573-935c-b1078256ef71.png) ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : e8093ba372f9adfe79439d90fe74b0b5b6dea9d6 python : 3.10.5.final.0 python-bits : 64 OS : Linux OS-release : 5.18.6-200.fc36.x86_64 Version : #1 SMP PREEMPT_DYNAMIC Wed Jun 22 13:46:18 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.utf8 LOCALE : en_US.UTF-8 pandas : 1.4.3 numpy : 1.22.0 pytz : 2022.1 dateutil : 2.8.1 setuptools : 59.6.0 pip : 21.3.1 Cython : 0.29.26 pytest : 6.2.5 hypothesis : None sphinx : 4.4.0 blosc : 1.10.6 feather : None xlsxwriter : 3.0.3 lxml.etree : 4.7.1 html5lib : 1.1 pymysql : 1.0.2 psycopg2 : None jinja2 : 3.0.3 IPython : 8.3.0 pandas_datareader: 0.10.0 bs4 : 4.11.0 bottleneck : 1.3.2 brotli : 1.0.9 fastparquet : 0.8.1 fsspec : 2022.5.0 gcsfs : 2022.5.0 markupsafe : 2.0.0 matplotlib : 3.5.2 numba : None numexpr : 2.8.1 odfpy : None openpyxl : 3.0.10 pandas_gbq : None pyarrow : 8.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.8.1 snappy : None sqlalchemy : 1.4.39 tables : 3.7.0 tabulate : 0.8.10 xarray : 2022.3.0 xlrd : 2.0.1 xlwt : 1.3.0 zstandard : None </details>
      author:
         url:https://github.com/PorcelainMouse
         type:Person
         name:PorcelainMouse
      datePublished:2022-07-01T05:58:50.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:3
      url:https://github.com/47563/pandas/issues/47563
      context:https://schema.org
      headline:DEPR: `sort_columns` in `plot`
      articleBody:### Pandas version checks - [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. - [x] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import numpy as np import pandas as pd df1 = pd.DataFrame({ 'a' : np.random.normal(0,1,10), 'b' : np.random.normal(0,1,10), )} df1[['b','a']].plot.box(sort_columns=True) df1[['b','a']].sort_index(axis=1).plot.box() ``` ### Issue Description Best I can tell, this option just doesn't work. The documentation describes the result of this option as "Sort column names to determine plot ordering." It is clear this means ordering the columns by name, presumably lexically. But, instead, this is what it does: ![bug_python_sort](https://user-images.githubusercontent.com/159714/176798335-3d8ad908-f539-4cc6-810e-b499d71dbcb6.png) ### Expected Behavior I interpret this option to be equivalent to .sort_index(axis=1), which works. ![bug_python_sort_workaround](https://user-images.githubusercontent.com/159714/176798439-86e8d98b-572d-4573-935c-b1078256ef71.png) ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : e8093ba372f9adfe79439d90fe74b0b5b6dea9d6 python : 3.10.5.final.0 python-bits : 64 OS : Linux OS-release : 5.18.6-200.fc36.x86_64 Version : #1 SMP PREEMPT_DYNAMIC Wed Jun 22 13:46:18 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.utf8 LOCALE : en_US.UTF-8 pandas : 1.4.3 numpy : 1.22.0 pytz : 2022.1 dateutil : 2.8.1 setuptools : 59.6.0 pip : 21.3.1 Cython : 0.29.26 pytest : 6.2.5 hypothesis : None sphinx : 4.4.0 blosc : 1.10.6 feather : None xlsxwriter : 3.0.3 lxml.etree : 4.7.1 html5lib : 1.1 pymysql : 1.0.2 psycopg2 : None jinja2 : 3.0.3 IPython : 8.3.0 pandas_datareader: 0.10.0 bs4 : 4.11.0 bottleneck : 1.3.2 brotli : 1.0.9 fastparquet : 0.8.1 fsspec : 2022.5.0 gcsfs : 2022.5.0 markupsafe : 2.0.0 matplotlib : 3.5.2 numba : None numexpr : 2.8.1 odfpy : None openpyxl : 3.0.10 pandas_gbq : None pyarrow : 8.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.8.1 snappy : None sqlalchemy : 1.4.39 tables : 3.7.0 tabulate : 0.8.10 xarray : 2022.3.0 xlrd : 2.0.1 xlwt : 1.3.0 zstandard : None </details>
      author:
         url:https://github.com/PorcelainMouse
         type:Person
         name:PorcelainMouse
      datePublished:2022-07-01T05:58:50.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:3
      url:https://github.com/47563/pandas/issues/47563
Person:
      url:https://github.com/PorcelainMouse
      name:PorcelainMouse
      url:https://github.com/PorcelainMouse
      name:PorcelainMouse
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:3
      interactionType:https://schema.org/CommentAction
      userInteractionCount:3

External Links {🔗}(5)

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

9.75s.