What are the methods for pandas to write to excel?

The methods for pandas to write to excel are: 1. Install the required libraries; 2. Read the data set; 3. Write the Excel file; 4. Specify the worksheet name; 5. Format the output; 6 , custom style. Pandas is a popular Python data analysis library that provides many powerful data cleaning and analysis functions. To write Pandas data to an Excel file, you can use the "to_excel()" method provided by Pandas.

The operating system for this tutorial: Windows 10 system, DELL G3 computer.

Pandas is a popular Python data analysis library that provides many powerful data cleaning and analysis functions. To write Pandas data to an Excel file, you can use the to_excel() method provided by Pandas. Here are some ways to use Pandas to write Excel files:

1. Install the required libraries

Before using Pandas to write Excel files, you need to install the Pandas and openpyxl libraries. You can use the following command to install:

pip install pandas openpyxl

2. Read the data set

First, you need to use the read_excel() method of Pandas to read the data set to be written to Excel. For example, to read an Excel file named data. to_excel() method. For example, to write a data set named df to an Excel file named output. If you want to write the row index, you can set this parameter to True.

4. Specify the worksheet name

By default, the to_excel() method writes data to the worksheet named "Sheet1". If you want to specify the name of the worksheet, you can use the sheet_name parameter. For example, to write data to a worksheet named "Sheet2", you can use the following code:

import pandas as pd  
  
df = pd.read_excel('data.xlsx')

5. Formatted output

By default, the to_excel() method will Write Excel file in default format. If you want to format the output, you can use the formatting method provided by Pandas. For example, to format the "Age" column in the data set into a numeric format with two decimal places, you can use the following code:

df.to_excel('output.xlsx', index=False)

6, Custom Style

In addition to the default format, You can use Pandas' styling functionality to customize the style of Excel cells. For example, to set the "Gender" column in the dataset to a red text color and a green background color, you would use the following code:

df.to_excel('output.xlsx', sheet_name='Sheet2', index=False)

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