import numpy as np
import pandas as pd
import seaborn as sns
%matplotlib inline
# Get data from csv files [df1,df2,df3]
df1 = pd.read_csv('df1', index_col=0)
df2 = pd.read_csv('df2')
df3 = pd.read_csv('df3')
df1.head()
df2
df3.head()
df1['A'].hist()
df1['A'].plot.hist()
df2.plot.area(alpha=0.6)
df2.plot.bar(stacked=True)
df1.head()
df1.plot.line(x=df1.index,y='B', figsize=(12,3))
df1.plot.scatter(x='A',y='B',c='C',cmap='coolwarm')
df2.plot.box()
for bivariate data
df = pd.DataFrame(np.random.randn(1000,2),columns=['a','b'])
df.plot.hexbin(x='a',y='b',gridsize=25)
df2.plot.kde()
# df2.plot.density()