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in Data Science by (17.6k points)

I was looking for a way to annotate my bars in a Pandas bar plot with the rounded numerical values from my DataFrame.

>>> df=pd.DataFrame({'A':np.random.rand(2),'B':np.random.rand(2)},index=['value1','value2'] )         

>>> df

                 A         B

  value1  0.440922  0.911800

  value2  0.588242  0.797366

I would like to get something like this:

bar plot annotation example

bar plot annotation example

I tried with this code sample, but the annotations are all centered on the x ticks:

>>> ax = df.plot(kind='bar') 

>>> for idx, label in enumerate(list(df.index)): 

        for acc in df.columns:

            value = np.round(df.ix[idx][acc],decimals=2)

            ax.annotate(value,

                        (idx, value),

                         xytext=(0, 15), 

                         textcoords='offset points')

1 Answer

0 votes
by (41.4k points)

You get it directly from the axes' patches:

for p in ax.patches:

    ax.annotate(str(p.get_height()), (p.get_x() * 1.005, p.get_height() * 1.005))

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