I have a big size excel files that I’m organizing the column names into a unique list.
The code below works, but it takes ~9 minutes!
Does anyone have suggestions for speeding it up?
import pandas as pd
import os
get_col = list(pd.read_excel("E:\DATA\dbo.xlsx",nrows=1, engine='openpyxl').columns)
print(get_col)
>Solution :
Using pandas to extract just the column names of a large excel file is very inefficient.
You can use openpyxl for this:
from openpyxl import load_workbook
wb = load_workbook("E:\DATA\dbo.xlsx", read_only=True)
columns = {}
for sheet in worksheets:
for value in sheet.iter_rows(min_row=1, max_row=1, values_only=True):
columns = value
Assuming you only have one sheet, you will get a tuple of column names here.