matplotlib plot multiple columns of pandas data frame on the bar chart

Question

I am using the following code to plot a bar-chart   import matplotlib pyplot as pls  my df plot x  my timestampe   y  col A   kind  bar    plt show     The plot works fine  However  I want to improve the graph by having 3 columns   col A    col B   and  col C  all on the plot  Like in the example figure below     I would like the col A displayed in blue above x-axis  col B in red below x-axis  and col C in green above x-axis  Is this something possible in matplotlib  How do I make changes to plot all the three columns  Thanks

User · Answer

Although the accepted answer works fine  since v0 21 0rc1 it gives a warning     UserWarning  Pandas doesn t allow columns to be created via a new attribute name   Instead  one can do  df   X    A    B    C    plot x  X   kind  bar

User · Answer

You can plot several columns at once by supplying a list of column names to the plot s y argument    df plot x  X   y   A    B    C    kind  bar       This will produce a graph where bars are sitting next to each other     In order to have them overlapping  you would need to call plot several times  and supplying the axes to plot to as an argument ax to the plot   import pandas as pd import matplotlib pyplot as plt import numpy as np  y   np random rand 10 4  y   0   np arange 10  df   pd DataFrame y  columns   X    A    B    C     ax   df plot x  X   y  A   kind  bar   df plot x  X   y  B   kind  bar   ax ax  color  C2   df plot x  X   y  C   kind  bar   ax ax  color  C3    plt show

[python] matplotlib: plot multiple columns of pandas data frame on the bar chart

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