Writing a Python Pandas DataFrame to Word document

Question

I'm working on creating a Python generated report that uses Pandas DataFrames. Currently I am using the DataFrame.to_string() method. However this writes to the file as a string. Is there a way for me to achieve this while keeping it as a table so I can use table formating.

Code:

SEMorgkeys = client.domain_organic(url, database = "us", display_limit = 10, export_columns=["Ph,Pp,Pd,Nq,Cp,Ur,Tr"]) org_df = pd.DataFrame(SEMorgkeys)  f = open(name, 'w') f.write("\nOrganic:\n") f.write(org_df.to_string(index=False,justify="left")) f.close() 

Current Printout (as string):

CPC    Keyword                        Position Difference Previous Position Search Volume Traffic (%) Url                                                75.92       small business factoring   0                   1                 210          11.69       https://www..com/small-business-f... 80.19              factoring company   0                   8                1600           5.72       https://www..com/factoring-vs-ban... 

Answer 1

You can write the table straight into a .docx file using the python-docx library.

If you are using the Conda or installed Python using Anaconda, you can run the command from the command line:

conda install python-docx --channel conda-forge 

Or to pip install from the command line:

pip install python-docx 

After that is installed, we can use it to open the file, add a table, and then populate the table's cell text with the data frame data.

import docx import pandas as pd  # i am not sure how you are getting your data, but you said it is a # pandas data frame df = pd.DataFrame(data)  # open an existing document doc = docx.Document('./test.docx')  # add a table to the end and create a reference variable # extra row is so we can add the header row t = doc.add_table(df.shape[0]+1, df.shape[1])  # add the header rows. for j in range(df.shape[-1]):     t.cell(0,j).text = df.columns[j]  # add the rest of the data frame for i in range(df.shape[0]):     for j in range(df.shape[-1]):         t.cell(i+1,j).text = str(df.values[i,j])  # save the doc doc.save('./test.docx')