Data saved in CSV file
1. read data from CSV file
Whether the parameter header=none exists
(1) No header=none — directly take the first row in the CSV table as the header
#Read data
The print result is:
(2) With header=none — automatically add the first row as the header
#Read data
The print result is:
2. data cutting
(the header=none is not written here according to the format of the CSV table.)
(1) Get all the columns and store them in an array
#Read data
(2) Get the data of the specified column and store it in an array
Method 1: get data from CSV file, data[] — the dimension of data needs to be considered
#Read data
Method II: usecols=[] — number of columns obtained by direct write
import pandas as pd
Method III: iloc[] — the essence is slicing
import pandas as pd
This is the end of this article about Python’s methods of reading data from CSV files and extracting data. For more information about reading data from Python CSV files, please search previous articles on developeppaper or continue to browse the following articles. I hope you will support developeppaper in the future!