Creating dataframe from a dictionary where value is an array-CodePudding

I am new to Python world. How can we create a dataframe with an existing dictionary where the values are arrays.

The data looks like :

data={'first':['A','B','C','D','E','F'],'second':[10,20,30,40,50,60],'third':[1.1,2.5,3.4,5.4,6.7,8.9]}

After the. creation of the dataframe, it would look like this :

first second third
 A      10    1.1    
 B      20    2.5
 C      30    3.4
 D      40    5.4
 .       .     .
 .       .     .

CodePudding user response：

import pandas as pd
data={'first':['A','B','C','D','E','F'],'second':[10,20,30,40,50,60],'third':[1.1,2.5,3.4,5.4,6.7,8.9]}
df = pd.DataFrame(data)
printf(df)

CodePudding user response：

Do it simply using pd.DataFrame() OR pd.DataFrame.from_dict()

import pandas as pd
data=pd.DataFrame({'first':['A','B','C','D','E','F'],'second':[10,20,30,40,50,60],'third':[1.1,2.5,3.4,5.4,6.7,8.9]})
print(data)

import pandas as pd
data={'first':['A','B','C','D','E','F'],'second':[10,20,30,40,50,60],'third':[1.1,2.5,3.4,5.4,6.7,8.9]}
data = pd.DataFrame.from_dict(data)
print(data)

See More: