data frame

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
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>>> 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

1df = pd.DataFrame ({"x": x_array, "y": y_array})

1>>> data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],
2...                 dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
3>>> df3 = pd.DataFrame(data, columns=['c', 'a'])
4...
5>>> df3
6   c  a
70  3  1
81  6  4
92  9  7
10