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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?
558
You can change the color of bars in a barplot using color argument. RGB is a way of making colors. You have to to provide an amount of red, green, blue, and the transparency value to the color argument and it returns a color.
there is no color parameter listed where you might be able to set the colors for your bar graph.
On a chart, select the individual data marker that you want to change. On the Format tab, in the Shape Styles group, click Shape Fill. Do one of the following: To use a different fill color, under Theme Colors or Standard Colors, click the color that you want to use.
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>] If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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