Setting Different Bar color in matplotlib Python [duplicate]

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

>>> f=plt.figure() >>> ax=f.add_subplot(1,1,1) >>> ax.bar([1,2,3,4], [1,2,3,4]) <Container object of 4 artists> >>> ax.get_children() [<matplotlib.axis.XAxis object at 0x6529850>, <matplotlib.axis.YAxis object at 0x78460d0>,  <matplotlib.patches.Rectangle object at 0x733cc50>, <matplotlib.patches.Rectangle object at 0x733cdd0>, <matplotlib.patches.Rectangle object at 0x777f290>, <matplotlib.patches.Rectangle object at 0x777f710>, <matplotlib.text.Text object at 0x7836450>, <matplotlib.patches.Rectangle object at 0x7836390>, <matplotlib.spines.Spine object at 0x6529950>, <matplotlib.spines.Spine object at 0x69aef50>, <matplotlib.spines.Spine object at 0x69ae310>, <matplotlib.spines.Spine object at 0x69aea50>] >>> 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?

Answer 1

Simple, just use .set_color

>>> barlist=plt.bar([1,2,3,4], [1,2,3,4]) >>> barlist[0].set_color('r') >>> plt.show() 

For your new question, not much harder either, just need to find the bar from your axis, an example:

>>> f=plt.figure() >>> ax=f.add_subplot(1,1,1) >>> ax.bar([1,2,3,4], [1,2,3,4]) <Container object of 4 artists> >>> ax.get_children() [<matplotlib.axis.XAxis object at 0x6529850>,   <matplotlib.axis.YAxis object at 0x78460d0>,    <matplotlib.patches.Rectangle object at 0x733cc50>,   <matplotlib.patches.Rectangle object at 0x733cdd0>,   <matplotlib.patches.Rectangle object at 0x777f290>,   <matplotlib.patches.Rectangle object at 0x777f710>,   <matplotlib.text.Text object at 0x7836450>,   <matplotlib.patches.Rectangle object at 0x7836390>,   <matplotlib.spines.Spine object at 0x6529950>,   <matplotlib.spines.Spine object at 0x69aef50>,  <matplotlib.spines.Spine object at 0x69ae310>,   <matplotlib.spines.Spine object at 0x69aea50>] >>> 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:

>>> import matplotlib >>> childrenLS=ax.get_children() >>> barlist=filter(lambda x: isinstance(x, matplotlib.patches.Rectangle), childrenLS) [<matplotlib.patches.Rectangle object at 0x3103650>,   <matplotlib.patches.Rectangle object at 0x3103810>,   <matplotlib.patches.Rectangle object at 0x3129850>,   <matplotlib.patches.Rectangle object at 0x3129cd0>,   <matplotlib.patches.Rectangle object at 0x3112ad0>]