Write to the worksheet by calling worksheet.append(row) and append one list of values, one value per cell.Get the active worksheet by calling workbook.active.Write the list of lists to the Excel file by using the workbook representation of the openpyxl library.Read the CSV file into a list of lists, one inner list per row, by using the csv.reader() function.To convert a CSV to an Excel file, you can also use the following approach: Let’s have a look at an alternative to converting a CSV to an Excel file in Python: Method 2: Modules csv and openpyxl □ Tutorial: Pandas DataFrame.to_excel() – An Unofficial Guide to Saving Data to ExcelĪlso, we’ve recorded a video on the ins and outs of this method here: ![]() If you want to do any of those, feel free to read our full guide on the Finxter blog here: you have an index column in the original CSV and want to consider it in the Excel file too.you want to format the cells as numbers instead of strings, or.you want to fix the first line in the Excel file,.Note that there are many ways to customize the to_excel() function in case Store the DataFrame in an Excel file by calling df.to_excel('my_file.xlsx', index=None, header=True)ĭf.to_excel('my_file.xlsx', index=None, header=True).Read the CSV file into a DataFrame df by using the expression df = pd.read_csv('my_file.csv').Import the pandas libray with import pandas as pd.Install the openpyxl library that is used internally by pandas with pip install openpyxl.Install the pandas library with pip install pandas. ![]() ![]() xlsx (Excel) in Python is to use the Pandas library. All methods discussed in this tutorial show different code snippets to put into csv_to_excel.py so that it converts the CSV to XLSX in Python.
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