Say I have a pandas dataframe and I plot it with matplotlib via the pandas built-in function plot:
mydata = list(zip([1, 2, 3], [4, 5, 6]))
dataframe = pandas.DataFrame(mydata)
barchart = dataframe.plot(kind = 'bar')
How do I access the color of the bars?
More generally, how do I access all the attributes?
E.g. I can get the background color with barchart.get_axis_bgcolor() and I can set it to grey with barchart.set_axis_bgcolor('grey'), but what about all the other attributes?
To change the color of a series you can do this with colors,
mydata = list(zip([1, 2, 3], [4, 5, 6]))
dataframe = pd.DataFrame(mydata)
barchart = dataframe.plot(kind = 'bar',color=['maroon','purple'])
However, with the barchart variable you have a handle on the axes, now you can use get_children() to get a hold of any patches, text, axis, or any other object in the chart to modify just about anything you want.
dir but found nothing related.plot I'd do something like plot(..., color=cmap). Is it possible to achieve the same through the handles?barchart.patches[0].set_color('g'). Great, thank you. What about using a colormap?