["python","pandas","dataframe","matplotlib"]
Add x and y labels to a pandas plot

Suppose I have the following code that plots something very simple using pandas: import pandas as pd values = [[1, 2], [2, 5]] df2 = pd.DataFrame(values, columns=['Type A', 'Type B'], index=['Index 1', 'Index 2']) df2.plot(lw=2, colormap='jet', marker='.', markersize=10, title='Video streaming dropout by category') How do I easily set x and y-labels while preserving my ability to use specific colormaps? I noticed that the plot() wrapper for pandas DataFrames doesn't take any parameters specific for that.
In Pandas version 1.10 you can use parameters xlabel and ylabel in the method plot: df.plot(xlabel='X Label', ylabel='Y Label', title='Plot Title')