Парсинг разделенного tab-ами документа в таблицу Word-а

mport docx
import pandas as pd
 
csv_delimiter='\t'
doc = docx.Document()
 
#create pandas DataFrame from .csv with selected columns.
filtered_csv_df = pd.read_csv('2222.csv',sep=csv_delimiter, usecols=['Част.МГц', 'Есш.дБ', 'Еш.дБ'], dtype=str)
#create a list of column's values
csv_columns = filtered_csv_df.columns.values.tolist()
 
table = doc.add_table(rows=2, cols=len(csv_columns), style="Table Grid")
hdr_cells = table.rows[0].cells
 
#set headers valuse for docx table
for i in range(len(csv_columns)):
    hdr_cells[i].text = csv_columns[i]
 
#set cells values for docx table
for df_row in range(len(filtered_csv_df.index)):
    row_cells = table.add_row().cells
    for column in range(len(csv_columns)):
        print(type(filtered_csv_df.loc[df_row][column]))
        row_cells[column].text = filtered_csv_df.loc[df_row][column]
doc.add_page_break()
doc.save("data.docx")

csv_columns = filtered_csv_df.columns.values.tolist()

import docx
import pandas as pd
 
 
csv_delimiter='\t'
doc = docx.Document()
 
#create pandas DataFrame from .csv with selected columns.
filtered_csv_df = pd.read_csv('2222.csv',sep=csv_delimiter,skiprows=(1),usecols=['Част.МГц', 'Есш.дБ', 'Еш.дБ'], dtype=str, header=0)
#create a list of column's values
csv_columns = filtered_csv_df.columns.values.tolist()
 
table = doc.add_table(rows=3, cols=len(csv_columns), style="Table Grid")
hdr_cells = table.rows[0].cells
 
#set headers valuse for docx table
for i in range(len(csv_columns)):
    hdr_cells[i].text = csv_columns[i]
 
#set cells values for docx table
for df_row in range(len(filtered_csv_df.index)):
    row_cells = table.add_row().cells
    for column in range(len(csv_columns)):
        print(type(filtered_csv_df.loc[df_row][column]))
        row_cells[column].text = filtered_csv_df.loc[df_row][column]
 
doc.add_page_break()
doc.save("data.docx")

csv_delimiter='\t'
doc = docx.Document()
 
usecols = ['Част.МГц', 'Есш.дБ', 'Еш.дБ'] 
#create pandas DataFrame from .csv with selected columns.
df = pd.read_csv(
    '2222.csv',
    sep=csv_delimiter,
    #names=names,
    usecols=usecols, 
    dtype=str
    )
 
print(df)
 
t = doc.add_table(rows=df.shape[0]+1, cols=df.shape[1],style="Table Grid" )
 
# 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])
 
doc.add_page_break()
doc.save("data.docx")