DataFrame creation program & use dictionary to create dataframe object

import numpy as np
import pandas as pd

DataFrame creator

Create row and column index

arr1 = np.arange(10).reshape(2,5)
arr1

array([[0, 1, 2, 3, 4],
       [5, 6, 7, 8, 9]])

demo1 = pd.DataFrame(arr1,index=['a','b'],columns=['A','B','C','D','E'])
demo1

	A	B	C	D	E
a	0	1	2	3	4
b	5	6	7	8	9

Use the dictionary to create a dataframe object

dict1 = {
    
    'a':[0.1,2.3],'b':[2.3,4.3],'c':[3.4,5.9]}
dict1

{'a': [0.1, 2.3], 'b': [2.3, 4.3], 'c': [3.4, 5.9]}

demo2 = pd.DataFrame(dict1)
demo2

	a	b	c
0	0.1	2.3	3.4
1	2.3	4.3	5.9

demo2.values.dtype

dtype('float64')

Add and delete dataframe objects

df1 = pd.DataFrame(np.arange(9).reshape(3,3),columns=['A','B','C'])
df1

	A	B	C
0	0	1	2
1	3	4	5
2	6	7	8

Add a column

df1['D']=[1,2,3]
df1

	A	B	C	D
0	0	1	2	1
1	3	4	5	2
2	6	7	8	3

Delete a column

del df1['C']
df1

	A	B	D
0	0	1	1
1	3	4	2
2	6	7	3