Python Pandas DataFrame to draw density graphs with different options

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

import pandas as pd 
my_dict={
'MATH':[30,33,32,32,31,34,32]
}
df=pd.DataFrame(data=my_dict)
df.plot.density()

density chart with options

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

title :

title='Student Mark' 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.density(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.density(color=[(.9,.3,.4)])

style

This is a list or dict. We can specify how the style of the line.
Style

my_style=['-.']
#my_style=[':']
df.plot.density(style=my_style)

grid

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

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.density(loglog=True)

secondary_y

Whether to plot on secondary Y Axis ( secondary_y=True ) or not ( secondary_y=False )

df.plot.density(secondary_y=True)

mark_right

Check the image above when secondary_y=True. There is a automatic marking in column lebels saying (right). We can manage this to show ( mark_right=True) or not ( mark_right=False)

df.plot.density(mark_right=True,secondary_y=True)

rot

Rotation of ticks ( check the label at x axis )
rot=45

df.plot.density(title='rot=180',figsize=(5,4),rot=180)

Pandas plot plot.barh()

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Subhendu Mohapatra

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