How to read CSV of a table header in the middle row

When reading a CSV file in Python, if the header is not in the first line but in a certain line in the middle, you can use the Pandas library to handle it. Pandas is a very powerful data processing library that allows easy reading, processing and writing to CSV files.

Below is a detailed code example showing how to read a CSV file with a header in the middle line. Assume that the CSV file name is, and the header is on line 3 (i.e. rows with index 2, because the index starts at 0).

(1) Install the Pandas library (if not installed yet).

(2) Write Python code to read the CSV file and specify the row where the table header is located.

1. Install the Pandas library

First, make sure you have the Pandas library installed. If not installed, you can use the following command to install:

pip install pandas

Code Example

Here is a complete Python code example:

import pandas as pd
 
# Define the CSV file pathcsv_file_path = ''
 
# Read the CSV file and specify the line where the header is located (counting from 0)# Assume that the table header is on line 3 (index 2)df = pd.read_csv(csv_file_path, header=2)
 
# Display the read data frame (DataFrame)print(df)
 
# If necessary, you can save the data frame to a new CSV file without the rows before the original intermediate row headeroutput_csv_file_path = 'output_example.csv'
df.to_csv(output_csv_file_path, index=False)

3. Sample CSV file()

Suppose your CSV file content is as follows:

Some useless data 1
Other useless data2
Column name 1, Column name 2, Column name 3
Data 1, Data 2, Data 3
Data 4, Data 5, Data 6

In this example, the header is on line 3 (Column name 1, Column name 2, Column name 3）。

4. Run the code

Save the above Python code as a file (e.g.read_csv_with_middle_header.py) and make sureThe file is in the same directory. Then run the Python script on the command line:

python read_csv_with_middle_header.py

5. Output result

After running the code, you will see the console output as follows (assuming the content of the CSV file is as shown above):

Column name 1 Column name 2 Column name 3
0 Data 1 Data 2 Data 3
1 Data 4 Data 5 Data 6

Meanwhile, a new CSV fileoutput_example.csvWill be created with the following content:

Column name 1, Column name 2, Column name 3
Data 1, Data 2, Data 3
Data 4, Data 5, Data 6

6. Reference value and practical significance

This method of reading CSV files is very useful in practical applications, especially when the first few lines of the CSV file contain metadata or comments, while the actual data table header is in a row in the middle. By using the Pandas library, it is easy to specify the rows where the table header is located, so that data is correctly read and processed.

This is the end of this article about how Python reads CSV in the middle row. For more related Python reading CSV content, please search for my previous articles or continue browsing the following related articles. I hope everyone will support me in the future!