Here's how GITHUB.COM makes money* and how much!

*Please read our disclaimer before using our estimates.
Loading...

GITHUB . COM {}

Detected CMS Systems:

  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Github.com Make Money
  6. How Much Does Github.com Make
  7. Wordpress Themes And Plugins
  8. Keywords
  9. Topics
  10. Payment Methods
  11. Questions
  12. Schema
  13. External Links
  14. Analytics And Tracking
  15. Libraries
  16. Hosting Providers

We are analyzing https://github.com/pandas-dev/pandas/issues/17041.

Title:
pivot_table not displaying values columns in expected order · Issue #17041 · pandas-dev/pandas
Description:
Code Sample, a copy-pastable example if possible # Your code here column_order = ['Year', 'Month', 'Currency', 'Total Net', 'Fees'] df_fills = df_fills.reind...
Website Age:
17 years and 9 months (reg. 2007-10-09).

Matching Content Categories {📚}

  • Cryptocurrency
  • Mobile Technology & AI
  • Technology & Computing

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 {💳}

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 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 {🔍}

ericbhanson, net, dffillsdffillsside, fees, commented, code, total, gfyoung, jreback, columns, expected, currency, dffills, true, data, values, order, year, month, pivottable, issue, axis, output, author, source, sign, column, pivot, import, inplace, dffillsbuynet, dffillssellnet, pandas, projects, description, columnorder, dffillsreindexaxiscolumnorder, pdpivottabledffills, index, aggfunc, npsum, margins, fillvalue, creating, dataframe, table, reshaping, concat, mergejoin, stackunstack,

Topics {✒️}

original issue description original data source listed total net id=0b5qzk8ir7q-ytejvogdpewtyz1u comment metadata assignees ]['fees'] df_fills['sell_net'] = column marked fees external data set pd import numpy fees column shows personal information pivot_table df_fills['year'] = pd copy-pastable minimal displaying values columns df_fills['fees'] = pd import pandas 'total net' total net df_fills['size'] = pd explode type pls post df_fills['buy_net'] = problem description /open type projects projects milestone 1 data removed screen shot df_fills = df_fills fees column expected order copy-pastable df_fills['price'] df_fills['fees'] np pd index = ['year' issue order entered sensitive information source opposite order simple copy bug df_fills['created_at'] df_fills['size'] expected output column_order = ['year' columns = {'product_id' aggfunc = np margins = true

Payment Methods {📊}

  • Braintree

Questions {❓}

  • @gfyoung happy to - are you looking for a simple copy and paste of what I'm seeing in Jupyter versus what I'm expecting to see?
  • @jreback in the screen shot I enclosed above, do you see how the column marked Fees is displayed before the column marked Total Net?
  • Already have an account?
  • Could you put pictures of what is currently output and what you expected in your original issue description?
  • Com/open?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:pivot_table not displaying values columns in expected order
      articleBody:#### Code Sample, a copy-pastable example if possible ```python # Your code here column_order = ['Year', 'Month', 'Currency', 'Total Net', 'Fees'] df_fills = df_fills.reindex_axis(column_order, axis = 1) pd.pivot_table(df_fills, values = ['Total Net', 'Fees'], index = ['Year', 'Month'], columns = ['Currency'], aggfunc = np.sum, margins = True, fill_value = 0) ``` #### Problem description When creating the dataframe, Fees column comes first (it's from an external data set), while Total Net comes second (it's calculated). I reordered them using reindex_axis and when asking Python to show the dataframe, I get the expected order. However, when creating a pivot table, Fees always comes first, no matter what. #### Expected Output pivot_table should display columns of values in the order entered in the function. #### Output of ``pd.show_versions()`` <details> # Paste the output here pd.show_versions() here INSTALLED VERSIONS ------------------ commit: None python: 2.7.13.final.0 python-bits: 64 OS: Darwin OS-release: 16.7.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: None.None pandas: 0.20.2 pytest: 3.0.7 pip: 9.0.1 setuptools: 27.2.0 Cython: 0.25.2 numpy: 1.12.1 scipy: 0.19.0 xarray: None IPython: 5.3.0 sphinx: 1.5.6 patsy: 0.4.1 dateutil: 2.6.0 pytz: 2017.2 blosc: None bottleneck: 1.2.1 tables: 3.3.0 numexpr: 2.6.2 feather: None matplotlib: 2.0.2 openpyxl: 2.4.7 xlrd: 1.0.0 xlwt: 1.2.0 xlsxwriter: 0.9.6 lxml: 3.7.3 bs4: 4.6.0 html5lib: 0.999 sqlalchemy: 1.1.9 pymysql: None psycopg2: None jinja2: 2.9.6 s3fs: None pandas_gbq: None pandas_datareader: None </details>
      author:
         url:https://github.com/ericbhanson
         type:Person
         name:ericbhanson
      datePublished:2017-07-20T19:14:16.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:25
      url:https://github.com/17041/pandas/issues/17041
      context:https://schema.org
      headline:pivot_table not displaying values columns in expected order
      articleBody:#### Code Sample, a copy-pastable example if possible ```python # Your code here column_order = ['Year', 'Month', 'Currency', 'Total Net', 'Fees'] df_fills = df_fills.reindex_axis(column_order, axis = 1) pd.pivot_table(df_fills, values = ['Total Net', 'Fees'], index = ['Year', 'Month'], columns = ['Currency'], aggfunc = np.sum, margins = True, fill_value = 0) ``` #### Problem description When creating the dataframe, Fees column comes first (it's from an external data set), while Total Net comes second (it's calculated). I reordered them using reindex_axis and when asking Python to show the dataframe, I get the expected order. However, when creating a pivot table, Fees always comes first, no matter what. #### Expected Output pivot_table should display columns of values in the order entered in the function. #### Output of ``pd.show_versions()`` <details> # Paste the output here pd.show_versions() here INSTALLED VERSIONS ------------------ commit: None python: 2.7.13.final.0 python-bits: 64 OS: Darwin OS-release: 16.7.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: None.None pandas: 0.20.2 pytest: 3.0.7 pip: 9.0.1 setuptools: 27.2.0 Cython: 0.25.2 numpy: 1.12.1 scipy: 0.19.0 xarray: None IPython: 5.3.0 sphinx: 1.5.6 patsy: 0.4.1 dateutil: 2.6.0 pytz: 2017.2 blosc: None bottleneck: 1.2.1 tables: 3.3.0 numexpr: 2.6.2 feather: None matplotlib: 2.0.2 openpyxl: 2.4.7 xlrd: 1.0.0 xlwt: 1.2.0 xlsxwriter: 0.9.6 lxml: 3.7.3 bs4: 4.6.0 html5lib: 0.999 sqlalchemy: 1.1.9 pymysql: None psycopg2: None jinja2: 2.9.6 s3fs: None pandas_gbq: None pandas_datareader: None </details>
      author:
         url:https://github.com/ericbhanson
         type:Person
         name:ericbhanson
      datePublished:2017-07-20T19:14:16.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:25
      url:https://github.com/17041/pandas/issues/17041
Person:
      url:https://github.com/ericbhanson
      name:ericbhanson
      url:https://github.com/ericbhanson
      name:ericbhanson
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:25
      interactionType:https://schema.org/CommentAction
      userInteractionCount:25

External Links {🔗}(4)

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
8.9s.