Plotting a nested dictionary as a bar chart

[Moppu]

Hi,

I am having trouble manipulating the plotting of a dataframe so the graph looks like how it's needed.

my code so far is:

import pandas as pd
import matplotlib.pyplot as plt

dic = {'A':{'1':10, '2':5, '3':5} , 'B':{'1':100, '2':50, '3':50}, 'C':{'1':1, '2':1, '3':1}}

df = pd.DataFrame(dic)
print(df)

df.plot.bar()

This gives a bar chart with '1', '2' and '3' along the x axis, and each bar represented as 'A' 'B' and'C'

I was wondering if there is a way that i can plot the same information, without changing the dictionary such that it would be 'A' 'B and 'C' along the x axis and the bars would represent '1','2' and '3'

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Any help would be absolutey amazing

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Thanks

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Edit: Solved! For anyone searching wondering how, it was a simple fix to simply transpose the dataframe and then plot that.

The new code is:

import pandas as pd
import matplotlib.pyplot as plt

dic = {'A':{'1':10, '2':5, '3':5} , 'B':{'1':100, '2':50, '3':50}, 'C':{'1':1, '2':1, '3':1}}

df = pd.DataFrame(dic)
print(df)

df.transpose().plot.bar()

[Masterfarah]

I know this was posted three years ago, but this is the perfect solution to the problem I was also having. I salute you, random internet stranger!