Setting Different Bar color in matplotlib Python

Question

Supposely  I have the bar chart as below     Any ideas on how to set different colors for each carrier  As for example  AK would be Red  GA would be Green  etc   I am using Pandas and matplotlib in Python   gt  gt  gt  f plt figure    gt  gt  gt  ax f add subplot 1 1 1   gt  gt  gt  ax bar  1 2 3 4    1 2 3 4    lt Container object of 4 artists gt   gt  gt  gt  ax get children     lt matplotlib axis XAxis object at 0x6529850 gt    lt matplotlib axis YAxis object at 0x78460d0 gt     lt matplotlib patches Rectangle object at 0x733cc50 gt    lt matplotlib patches Rectangle object at 0x733cdd0 gt    lt matplotlib patches Rectangle object at 0x777f290 gt    lt matplotlib patches Rectangle object at 0x777f710 gt    lt matplotlib text Text object at 0x7836450 gt    lt matplotlib patches Rectangle object at 0x7836390 gt    lt matplotlib spines Spine object at 0x6529950 gt    lt matplotlib spines Spine object at 0x69aef50 gt    lt matplotlib spines Spine object at 0x69ae310 gt    lt matplotlib spines Spine object at 0x69aea50 gt    gt  gt  gt  ax get children   2  set color  r    You can also try to locate the first patches Rectangle object instead of direct calling the index    For the suggestions above  how do exactly we could enumerate ax get children   and check if the object type is rectangle  So if the object is rectangle  we would assign different random color

User · Answer

Update pandas 0 17 0   7stud s answer for the newest pandas version would require to just call   s plot       kind  bar        color my colors      instead of  pd Series plot      s       kind  bar        color my colors      The plotting functions have become members of the Series  DataFrame objects and in fact calling pd Series plot with a color argument gives an error

User · Answer

I assume you are using Series plot   to plot your data   If you look at the docs for Series plot   here  http   pandas pydata org pandas-docs dev generated pandas Series plot html there is no color parameter listed where you might be able to set the colors for your bar graph  However  the Series plot   docs state the following at the end of the parameter list  kwds   keywords Options to pass to matplotlib plotting method  What that means is that when you specify the kind argument for Series plot   as bar  Series plot   will actually call matplotlib pyplot bar    and matplotlib pyplot bar   will be sent all the extra keyword arguments that you specify at the end of the argument list for Series plot    If you examine the docs for the matplotlib pyplot bar   method here  http   matplotlib org api pyplot api html matplotlib pyplot bar   it also accepts keyword arguments at the end of it s parameter list  and if you peruse the list of recognized parameter names  one of them is color  which can be a sequence specifying the different colors for your bar graph  Putting it all together  if you specify the color keyword argument at the end of your Series plot   argument list  the keyword argument will be relayed to the matplotlib pyplot bar   method   Here is the proof  import pandas as pd import matplotlib pyplot as plt  s   pd Series       5  4  4  1  12       index     quot AK quot    quot AX quot    quot GA quot    quot SQ quot    quot WN quot       Set descriptions  plt title  quot Total Delay Incident Caused by Carrier quot   plt ylabel  Delay Incident   plt xlabel  Carrier     Set tick colors  ax   plt gca   ax tick params axis  x   colors  blue   ax tick params axis  y   colors  red     Plot the data  my colors    rgbkymc    red  green  blue  black  etc   pd Series plot      s       kind  bar        color my colors     plt show      Note that if there are more bars than colors in your sequence  the colors will repeat

User · Answer

Simple  just use  set color   gt  gt  gt  barlist plt bar  1 2 3 4    1 2 3 4    gt  gt  gt  barlist 0  set color  r    gt  gt  gt  plt show       For your new question  not much harder either  just need to find the bar from your axis  an example    gt  gt  gt  f plt figure    gt  gt  gt  ax f add subplot 1 1 1   gt  gt  gt  ax bar  1 2 3 4    1 2 3 4    lt Container object of 4 artists gt   gt  gt  gt  ax get children     lt matplotlib axis XAxis object at 0x6529850 gt      lt matplotlib axis YAxis object at 0x78460d0 gt       lt matplotlib patches Rectangle object at 0x733cc50 gt      lt matplotlib patches Rectangle object at 0x733cdd0 gt      lt matplotlib patches Rectangle object at 0x777f290 gt      lt matplotlib patches Rectangle object at 0x777f710 gt      lt matplotlib text Text object at 0x7836450 gt      lt matplotlib patches Rectangle object at 0x7836390 gt      lt matplotlib spines Spine object at 0x6529950 gt      lt matplotlib spines Spine object at 0x69aef50 gt     lt matplotlib spines Spine object at 0x69ae310 gt      lt matplotlib spines Spine object at 0x69aea50 gt    gt  gt  gt  ax get children   2  set color  r      You can also try to locate the first patches Rectangle object    instead of direct calling the index    If you have a complex plot and want to identify the bars first  add those    gt  gt  gt  import matplotlib  gt  gt  gt  childrenLS ax get children    gt  gt  gt  barlist filter lambda x  isinstance x  matplotlib patches Rectangle   childrenLS    lt matplotlib patches Rectangle object at 0x3103650 gt      lt matplotlib patches Rectangle object at 0x3103810 gt      lt matplotlib patches Rectangle object at 0x3129850 gt      lt matplotlib patches Rectangle object at 0x3129cd0 gt      lt matplotlib patches Rectangle object at 0x3112ad0 gt

[python] Setting Different Bar color in matplotlib Python

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