How do I convert a DataFrame data to excel in Python?

How do I convert a DataFrame to an excel file in Python?

Use pandas to_excel() function to write a DataFrame to an excel sheet with extension . xlsx. By default it writes a single DataFrame to an excel file, you can also write multiple sheets by using an ExcelWriter object with a target file name, and sheet name to write to.

How do I extract data from Python to excel?

1xlrd module is used to extract data from a spreadsheet.2NOTE: xlrd has explicitly removed support for reading xlsx sheets. ... 3Input File:4Code #1: Extract a specific cell.5Code #2: Extract the number of rows.6Code #3: Extract the number of columns.7Code #4 : Extracting all columns name.8Code #5: Extract the first column.

How do I convert a DataFrame data to a CSV file in Python?

Exporting the DataFrame into a CSV file Pandas DataFrame to_csv() function exports the DataFrame to CSV format. If a file argument is provided, the output will be the CSV file. Otherwise, the return value is a CSV format like string. sep: Specify a custom delimiter for the CSV output, the default is a comma.

Can pandas export to excel?

You can write any data (lists, strings, numbers etc) to Excel, by first converting it into a Pandas DataFrame and then writing the DataFrame to Excel. To export a Pandas DataFrame as an Excel file (extension: . xlsx, . xls), use the to_excel() method.