'What is index_col=0? and pd.index.name = None
'''
import pandas as pd
f500 = pd.read_csv('f500.csv',index_col=0)
f500.index.name = None
'''
I don't know what this mean. What's roll of 'index_col=0'? and 'f500.index.name = None'?
Solution 1:[1]
index_col indicates what column of the csv to use as the indexes (row labels) of the dataframe. for example:
1,<field_1>,<field_2>,...
2,<field_1>,<field_2>,... ...
if index_col is 0, in this case it means that "1" will be the index of the first column, "2" will be the index for the second column and so on.
If you have any other doubts like this you can refer to the pandas documentation. Here is the link to the documentation for the read_csv method: link
Solution 2:[2]
For example you have a dataframe like this. If you want to have your index name to be some custom keyword you can you use the below command and it then will act as a single column
df.index.name = "your keyword"
The role of index_col
is to say which column should act as an index.
For example if you want BloodPressure
to be the index of the dataframe, the command will be like:
df.index_col = 2
The data of that column acts as index values so that we can access the dataframe using the df.loc[]
commands
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | Giacomo Zema |
Solution 2 |