Built-in Plots in Pandas

Built-in Plots in Pandas - Python

There are several plot types built-in to pandas, most of them statistical plots by nature:

df.plot.area
df.plot.barh
df.plot.density
df.plot.hist
df.plot.line
df.plot.scatter
df.plot.bar
df.plot.box
df.plot.hexbin
df.plot.kde
df.plot.pie

You can also just call df.plot(kind='hist') or replace that kind argument with any of the key terms shown in the list above (e.g. 'box','barh', etc..)

Area Plot

df2.plot.area()

Bar Plot

df2.plot.bar()

Stacked Bar Plot

df2.plot.bar(stacked=True)

Histogram Plot

df1['A'].plot.hist()

Line Plot

df1.plot.line(x=df1.index,y='B',figsize=(12,3),lw=1)

Scatter Plot

df1.plot.scatter(x='A',y='B')

Scatter Plot with three variables

df1.plot.scatter(x='A',y='B',c='C')

Scatter Plot with third variable indicated by size

df1.plot.scatter(x='A',y='B',s=df1['C']*200)

Box Plot

df2.plot.box()

Hexagonal Bin Plot

df = pd.DataFrame(np.random.randn(1000, 2), columns=['a', 'b'])

df.plot.hexbin(x='a',y='b',gridsize=25)

Kernel Density Estimation (KDE) Plot

df2['a'].plot.kde()

Density Plot

df2.plot.density()

Comments

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