Python Pandas DataFrame to draw area graphs with different options

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

import pandas as pd 
my_dict={
'Sale':[80,90,75,80,85,80,75],
'cost':[50,40,55,45,65,60,55],
'prof':[8,12,13,10,9,12,13]    
}
df =pd.DataFrame(data=my_dict)
df.plot.area(title='Area Plot')

area chart with options

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

title :

title='Area 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.area(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.

my_color=[(.9,.4,.3),(.1,.8,.1),(.1,.5,.9)]
df.plot.area(title='Area Plot',color=my_color)

style

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

#my_style=[':']
my_style=['.-']
df.plot.area(title='style',style=my_style)

grid

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

df.plot.area(title='grid=True',grid=True)

logx

We can specify log scaling or symlog scaling for x ( logx=True )

df.plot.area(logx=True)

secondary_y

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

df.plot.area(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.area(title='mark_right=False',secondary_y=True,mark_right=True,alpha=.4)

rot

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

df.plot.area(title='rot=180',rot=180)

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Pandas DataFrame Plot area graph