Python Pandas DataFrame to draw hexbin graphs with different options

Pandas plot

Pandas.DataFrame.plot to generate hexbin using data
DataFrame hexbin chart

import pandas as pd 
import numpy as np 
n = 10000
df=pd.DataFrame({'x': np.random.randn(n),
                'y': np.random.randn(n)})
ax=df.plot.hexbin(x='x',y='y',gridsize=20)

hexbin chart with options

There are several options we can add to above hexbin diagram.

title :

title='hexbin Plot' String used as Title of the graph.

figsize :

Size of the graph , it is a tuple saying width and height in inches, figsize=(6,3). Here width is 6 inches and height is 3 inches.

df.plot.hexbin(x='x',y='y',gridsize=20,figsize=(6,3))

color

We can use the option colors to give different colors to line . We can use one tuple to define the colours.

df.plot.hexbin(x='x',y='y',gridsize=20,title='hexbin Plot',color=[(.9,.2,.6)])

grid

We will show grid ( grid=True ) or not ( grid=False) grid=True option

df.plot.hexbin(x='x',y='y',gridsize=20,title='grid=True',grid=True)

logx logy loglog

We can specify log scaling or symlog scaling for x ( logx=True ) or y ( logy=True ) or for both x & y ( loglog=True)

df.plot.hexbin(x='x',y='y',gridsize=20,title='loglog=True',loglog=True)

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Pandas DataFrame Plot hexbin graph