How to read data from csv file in python
There are two ways to read CSV files using Python: use the csv module: a. Import the csv module b. Open the CSV file c. Create a CSV reader d. Loop through each row using the pandas library: a. Import pandas library b. Read CSV files
How to use Python to read data from CSV files
CSV (comma Delimited values) files are a popular data file format that can be read in a variety of ways in Python. The following are two commonly used methods:
Use the csv
module
csv
module is used in the Python standard library Module for handling CSV files. Here are the steps to read a CSV file using the csv
module:
-
Import the
csv
module:import csv
Copy after login Open CSV file:
with open('file.csv', 'r') as f:
Copy after loginCreate CSV reader:
reader = csv.reader(f)
Copy after loginRead each line:
for row in reader: # 行数据存储在 row 中
Copy after login
Using the pandas
library
pandas
is a powerful Python library for data analysis and processing. It provides more advanced features for working with CSV files. Here are the steps to read a CSV file using pandas
:
Import
pandas
library:import pandas as pd
Copy after loginRead CSV file:
df = pd.read_csv('file.csv')
Copy after login
Among them:
-
df
is a Pandas data frame that stores the data of the CSV file. -
'file.csv'
is the path to the CSV file.
Using pandas
When reading a CSV file, you can specify delimiters, character encoding, and other options. See the pandas.read_csv()
documentation for details.
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