How to read certain rows of data in csv in python

Using Python's Pandas library, you can read the data of the specified row in CSV as follows: Import the Pandas library. Read CSV files. Use the iloc method to select specific rows by row index number. Print or return a subset.

How to read certain rows of data in CSV

To read specific rows of data in CSV file , you can use the pandas library in Python. pandas is a powerful library for data manipulation and analysis, providing an intuitive and efficient way to process CSV files.

The following are the steps to read certain rows of data in CSV:

1. Import Pandas

   import pandas as pd

2. Read CSV file

   df = pd.read_csv("data.csv")

3. Select rows to read

   To select specific rows you can use iloc method. iloc The method accepts the row index number as a parameter.

   # 读取第 1 行到第 5 行
   df_subset = df.iloc[0:5]
   
   # 读取第 1 行和第 3 行
   df_subset = df.iloc[[0, 2]]

4. Print or return a subset

   # 打印子集
   print(df_subset)
   
   # 返回子集
   return df_subset

Example:

import pandas as pd

df = pd.read_csv("data.csv")

# 读取第 1 行到第 5 行
df_subset = df.iloc[0:5]

print(df_subset)

This will print the data from row 1 to row 5 in the CSV file.

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