How To Get The Index Of A DataFrame?
Table Of Contents:
- Syntax Of Index Of DataFrame.
- Examples To Get The Index.
(1) Syntax:
pandas.DataFrame.indexpandas.DataFrame.index.valuesDescription:
- It will get you the index (row labels) of the DataFrame.
(2) Examples Of Index :
Example-1
import pandas as pd
student = {'Name':['Subrat','Abhispa','Arpita','Anuradha','Namita'],
'Roll_No':[100,101,102,103,104],
'Subject':['Math','English','Science','History','Commerce'],
'Mark':[95,88,76,73,93]}
student_object = pd.DataFrame(student)
student_objectOutput:
student_object.indexOutput:
RangeIndex(start=0, stop=5, step=1)Note:
- Here you can see that, index starts from ‘0’ and stops at ‘5’, and the number of steps it increase is by ‘1’.
Getting All The Index Values.
student_object.index.valuesOutput:
array([0, 1, 2, 3, 4], dtype=int64)Example-2
import pandas as pd
path = "E:\Blogs\Pandas\Documents\Mall_Customers.csv"
customer_details = pd.read_csv(path)
customer_detailsOutput:
customer_details.indexOutput:
RangeIndex(start=0, stop=200, step=1)Note:
- Here you can see that, index starts from ‘0’ and stops at ‘200’, and the number of steps it increase is by ‘1’.
Getting All The Index Values.
customer_details.index.valuesOutput:
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,
26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,
39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,
52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,
65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,
78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,
91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,
117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,
130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,
143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155,
156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,
169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,
182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,
195, 196, 197, 198, 199], dtype=int64)