1. Seaborn

• Matplotlib but on Steroids

• Python library that quickens the process of visualization

  • Built on top on matplot lib

• Old charts like Bar charts, line charts( that too quicker)

  • New charts like Box Plots, Violin Charts

2. Standardized format to create charts

• You just need to pass the dataframe as data and specify what are the x and y axis required

  • Aggregation will be automatic

import seaborn as sns
import pandas as pd
data = {'Month':['Jan','Feb','March','April'],
        'Sales': [99, 98, 95, 90],
        'Profit': [10,20,30,40]
       }

# df=pd.DataFrame(data,columns=['Sales','Profit'],index=data['Month'])
# See above dataframe was for matplotlib, and it required customizations
# like you have to specify x axis in index
# you have to have only one categorical column in dataframe and much more
df=pd.DataFrame(data)

# No such things in Seaborn
# No Dataprep needed in Seaborn
sns.lineplot(
x='Month',
y='Sales',
data=df,
estimator=sum, # optional : aggregation can be changed as well
);

# See we didn't even passed labels still they appread automatically