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...
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')