Pandas can read, filter, and re-arrange small and large datasets and output them in a range of formats including Excel. In this article, we will be dealing with the conversion of .csv file into excel (.xlsx).
Pandas provide the ExcelWriter class for writing data frame objects to excel sheets.
Syntax:
final = pd.ExcelWriter('GFG.xlsx')
Example:
Sample CSV File:
Python3
import pandas as pd# Reading the csv filedf_new = pd.read_csv('Names.csv')# saving xlsx fileGFG = pd.ExcelWriter('Names.xlsx')df_new.to_excel(GFG, index=False)GFG.save() |
Output:
Method 2:
The read_* functions are used to read data to pandas, the to_* methods are used to store data. The to_excel() method stores the data as an excel file. In the example here, the sheet_name is named passengers instead of the default Sheet1. By setting index=False the row index labels are not saved in the spreadsheet.
Python3
import pandas as pd# The read_csv is reading the csv file into Dataframedf = pd.read_csv("./weather_data.csv")# then to_excel method converting the .csv file to .xlsx file.df.to_excel("weather.xlsx", sheet_name="Testing", index=False)# This will make a new "weather.xlsx" file in your working directory.# This code is contributed by Vidit Varshney |
