creating dataframe

1>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
2...                    columns=['a', 'b', 'c'])
3>>> df2
4   a  b  c
50  1  2  3
61  4  5  6
72  7  8  9
8

1import pandas as pd
2  
3# intialise data of lists.
4data = {'Name':['Tom', 'nick', 'krish', 'jack'],
5        'Age':[20, 21, 19, 18]}
6  
7# Create DataFrame
8df = pd.DataFrame(data)
9  
10# Print the output.
11df

1# Import pandas library 
2import pandas as pd 
3  
4# initialize list of lists 
5data = [['Group A', 85], ['Group B', 92], ['Group C', 88]] 
6  
7# Create the pandas DataFrame 
8df = pd.DataFrame(data, columns = ['Name', 'Score']) 
9  
10# print dataframe. 
11df 

1import numpy as np
2import pandas as pd
3vect1=np.zeros(10)
4vect2=np.ones(10)
5df=pd.DataFrame({'col1':vect1,'col2':vect2})

1import pandas as pd
2data = {
3	"A":[1,2,3],
4    "B":[4,5,6],
5    "C":[7,8,9]
6}
7index = [1,2,3,4,5,6,7,8,9]
8
9pd.DataFrame(data=data, index=index)
10

1import pandas as pd
2 
3# initialise data of lists.
4data = {'Name':['Tom', 'nick', 'krish', 'jack'],
5        'Age':[20, 21, 19, 18]}
6 
7# Create DataFrame
8df = pd.DataFrame(data)
9 
10# Print the output.
11df