pandas excel save dataframes in multiple sheets of the same excel using python

export multiple python pandas dataframe to single excel file

#1. Create a pandas excel writer instance and name the excel file
xlwriter = pd.ExcelWriter('Customer_Details.xlsx')
#NB: If you don't include a file path like 'C:UsersRonDesktopFile_Name.xlsx'
# It will save to your default folder, that is,
#where the file you're reading from is located.

#2. Write each dataframe to a worksheet with a name
dfName.to_excel(xlwriter, sheet_name = 'Name', index = False)
dfAddress.to_excel(xlwriter, sheet_name = 'Address', index = False)
dfContact.to_excel(xlwriter, sheet_name = 'Contact', index = False)

#3. Close the instance
xlwriter.close()

Posted by: Guest on June-25-2021

Source

# Create a Pandas Excel writer using XlsxWriter as the engine. with pd.ExcelWriter('pandas_multiple.xlsx', engine='xlsxwriter') as writer: # Write each dataframe to a different worksheet. final_df.to_excel(writer, sheet_name='Sheet1') df_unigrams.to_excel(writer, sheet_name='Sheet2') df_bigrams.to_excel(writer, sheet_name='Sheet3')

with pd.ExcelWriter("Data 2016.xlsx") as writer: data.to_excel(writer, "Stock Prices") correlations.to_excel(writer, "Correlations") data.pct_change().mul(100).to_excel(writer, "Daily Changes")

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