熊猫在csv文件的标题下方添加空行？

Question

I have the following code to create csv files out of tables from a docx file:

from docx import Document
import pandas as pd

document = Document('my_docx.docx')

for index,table in enumerate(document.tables):
    df = [['' for i in range(len(table.columns))] for j in range(len(table.rows))]
    for i, row in enumerate(table.rows):
        for j, cell in enumerate(row.cells):
            df[i][j] = cell.text
            
        name = "tables/table_"+str(index)+".csv"
        pd.DataFrame(df).to_csv(name, index=False, header=True)

However, Pandas is creating an undesired empty row just below the header of the table. This only happens when header=True , when header=False this problem does not occur. But I need the header.

There's two ways I can solve this, I believe. Create the csv file with header=True and then delete the row or use header=False and then add a row to be the header. How can I do either one of these?

Answer 1

Use df.drop(0, inplace=True) or df=df.iloc[1:] to remove first row of dataframe.

So the overall code would be :-

from docx import Document
import pandas as pd

document = Document('my_docx.docx')

for index,table in enumerate(document.tables):
    df = [['' for i in range(len(table.columns))] for j in range(len(table.rows))]
    for i, row in enumerate(table.rows):
        for j, cell in enumerate(row.cells):
            df[i][j] = cell.text
            
        name = "tables/table_"+str(index)+".csv"
        dataFrame=pd.DataFrame(df)
        dataFrame.drop(0, inplace=True) # Or use dataFrame=dataFrame.iloc[1:]
        dataFrame.to_csv(name, index=False, header=True)