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 th

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')

Answer 2

def doctable(data, tabletitle, pathfile):
    from docx import Document
    import pandas as pd
    document = Document()
    data = pd.DataFrame(data)  # My input data is in the 2D list form
    document.add_heading(tabletitle)
    table = document.add_table(rows=(data.shape[0]), cols=data.shape[1])  # First row are table headers!
    for i, column in enumerate(data) :
        for row in range(data.shape[0]) :
            table.cell(row, i).text = str(data[column][row])
    document.save(pathfile)