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Keywords {🔍}

color, mosc, pandas, bug, issue, red, commented, marcogorelli, sign, code, plot, keyword, kindscatter, added, member, contributor, author, consistency, pull, projects, accept, columns, green, dfplotxa, pass, column, sequence, mentioned, edited, edits, points, navigation, requests, actions, security, closed, description, confirmed, exists, blue, thought, enought, colorkeyword, expected, line, triage, reviewed, team, request, docs,

Topics {✒️}

org/docs/reference/api/pandas marcogorelli edits member personal information bug comment metadata assignees color strings referred type projects color=df['color'] pull request issue description commented line mosc9575 mentioned projects milestone 1 import pandas color-keyword instance ‘red triage issue docs pandas plot bug exists removed bug line df instance [‘green color='color' expected result color recursively add 'color' accept columns latest version master branch 'blue' 'c' argument feature request rgba code = continue working break people' 100% complete relationships pandas //pandas kind='scatter' 'red' 'red'} } pass color= marker points keyword github issue bug [bug] 5 closed 'green'

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• Does it work with c= rather than color=?
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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: Pandas plot does not accept Columns for color keyword
      articleBody:### - [ ] 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({ 'A': {1: 6, 2: 2, 3: 1, 4: 8, 5: 6}, 'B': {1: 2, 2: 10, 3: 3, 4: 1, 5: 1}, 'pos': {1: 1, 2: 2, 3: 4, 4: 1, 5: 1}, 'color': {1: 'red', 2: 'blue', 3: 'green', 4: 'red', 5: 'red'} }) # df >>> # A B color # 1 6 2 red # 2 2 10 blue # 3 1 3 green # 4 8 1 red # 5 6 1 red df.plot(x='A', y='B', kind='scatter', color=df['color'].values) # df.plot(x='A', y='B', kind='scatter', color='color') ``` ### Issue Description I tried to plot a scatterplot with different groups, with one color for each group. I thought is is enought to pass the name of the column to the color-keyword, but this throws an error: `ValueError: 'c' argument must be a color, a sequence of colors, or a sequence of numbers, not ['color']` ### Expected Behavior I expect this figure, which was generated using the commented line `s.plot(x='A', y='B', kind='scatter', color=s['color'].values)`  ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.7.final.0 python-bits : 64 OS : Linux OS-release : 5.10.0-8-amd64 Version : #1 SMP Debian 5.10.46-4 (2021-08-03) machine : x86_64 processor : x86_64 byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.4 numpy : 1.20.3 pytz : 2021.1 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.0.4 Cython : 0.29.24 pytest : 6.2.5 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 : 7.28.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 2021.09.0 fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : 1.4.23 tables : 3.6.1 tabulate : None xarray : None xlrd : None xlwt : None numba : 0.54.0 1 ​ </details>
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      headline:BUG: Pandas plot does not accept Columns for color keyword
      articleBody:### - [ ] 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({ 'A': {1: 6, 2: 2, 3: 1, 4: 8, 5: 6}, 'B': {1: 2, 2: 10, 3: 3, 4: 1, 5: 1}, 'pos': {1: 1, 2: 2, 3: 4, 4: 1, 5: 1}, 'color': {1: 'red', 2: 'blue', 3: 'green', 4: 'red', 5: 'red'} }) # df >>> # A B color # 1 6 2 red # 2 2 10 blue # 3 1 3 green # 4 8 1 red # 5 6 1 red df.plot(x='A', y='B', kind='scatter', color=df['color'].values) # df.plot(x='A', y='B', kind='scatter', color='color') ``` ### Issue Description I tried to plot a scatterplot with different groups, with one color for each group. I thought is is enought to pass the name of the column to the color-keyword, but this throws an error: `ValueError: 'c' argument must be a color, a sequence of colors, or a sequence of numbers, not ['color']` ### Expected Behavior I expect this figure, which was generated using the commented line `s.plot(x='A', y='B', kind='scatter', color=s['color'].values)`  ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 945c9ed766a61c7d2c0a7cbb251b6edebf9cb7d5 python : 3.9.7.final.0 python-bits : 64 OS : Linux OS-release : 5.10.0-8-amd64 Version : #1 SMP Debian 5.10.46-4 (2021-08-03) machine : x86_64 processor : x86_64 byteorder : little LC_ALL : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.4 numpy : 1.20.3 pytz : 2021.1 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.0.4 Cython : 0.29.24 pytest : 6.2.5 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 : 7.28.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 2021.09.0 fastparquet : None gcsfs : None matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.7.1 sqlalchemy : 1.4.23 tables : 3.6.1 tabulate : None xarray : None xlrd : None xlwt : None numba : 0.54.0 1 ​ </details>
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