How do I plot a graph using Pandas?
I have a pandas dataframe like this
a b c d e f label
1 3 4 5 6 7 1
2 2 5 7 5 7 0
4 7 9 0 8 7 1
6 9 4 7 3 8 1
7 0 9 8 7 6 0
I need a histogram that looks something like this: 
I tried to use the hist () function from pandas, but I cannot figure out how to include the label in the histogram to get the following graph similar to the one in the image.
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It seems to me you need pivot
with counting cumcount
and last call DataFrame.plot.bar
:
df = pd.pivot(index=df.groupby('label').cumcount(), columns=df.label, values=df.a).fillna(0)
print (df)
label 0 1
0 2.0 1.0
1 7.0 4.0
2 0.0 6.0
df.plot.bar()
Or you may need an aggregate size
with a reshaping unstack
:
df = df.groupby(['label', 'a']).size().unstack(0, fill_value=0)
df.plot.bar()
Using piRSquared
data for a better sample:
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Try
df.groupby('label').a.value_counts().unstack(0, fill_value=0).plot.bar()
Consider a data block df
np.random.seed([3,1415])
df = pd.DataFrame(
np.random.randint(10, size=(50, 6)),
columns=list('abcdef')
).assign(label=np.random.randint(2, size=50))
print(df.head())
a b c d e f label
0 0 2 7 3 8 7 0
1 0 6 8 6 0 2 0
2 0 4 9 7 3 2 0
3 4 3 3 6 7 7 0
4 4 5 3 7 5 9 1
demo
df.groupby('label').a.value_counts().unstack(0, fill_value=0).plot.bar()
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