pandas 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

1d = {'col1': [1, 2], 'col2': [3, 4]}
2df = pd.DataFrame(data=d)
3df
4

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
2
3data = {'First Column Name':  ['First value', 'Second value',...],
4        'Second Column Name': ['First value', 'Second value',...],
5         ....
6        }
7
8df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])
9
10print (df)

1>>> d = {'col1': [1, 2], 'col2': [3, 4]}
2>>> df = pd.DataFrame(data=d)
3>>> df
4   col1  col2
50     1     3
61     2     4
7

1>>> df2 = pd.DataFrame(np.array([[23, 99, 78], [65, 95, 90], [90, 98, 96]]),
2...                    columns=['krish', 'ishwar', 'raj'])
3>>> df2
4   a  b  c
50  1  2  3
61  4  5  6
72  7  8  9
8