CODEWITHSUNDEEP
pythonexcel
s7c
s7c

Reputation: 71

Writing excel files in Python

I posted part of this question couple of days ago with a good answer but that solved just part of my problem. So, I have a excel file on which needs to be done some data mining and after that needs to get out another excel file with the same format .xlsx The problem is that I get a strange column after I write the file, which cannot be seen before the writing using Anaconda. And that makes it harder to develop a strategy to counter it's appearance. initially I though I solved the problem by reducing the width to 0 but apparently at some point the file needs to be converted in text and then the columns reappears. For more details here is part of my code:

import os
import pandas as pd
import numpy as np
import xlsxwriter

# Retrieve current working directory (`cwd`)
cwd = os.getcwd()
cwd

# Change directory 
os.chdir("/Users/s7c/Documents/partsstop")

# Assign spreadsheet filename to `file`
file = 'file = 'SC daily inventory retrieval columns for reports'.xlsx

# Load spreadsheet
xl = pd.ExcelFile(file)

# Load a sheet into a DataFrame by name: df
df = xl.parse('Sheet1')

#second file code:
#select just the columns we need and rename them:
df2 = df.iloc[:, [1, 3, 6, 9]]
df2.columns = ['Manufacturer Code', 'Part Number', 'Qty Available', 'List Price']

#then select just the rows we need:
df21 = df2[df2['Manufacturer Code'].str.contains("DRP")]#13837 entries

#select just the DRP, first 3 characters and dropping the ones after:
df21['Manufacturer Code'] = df21['Manufacturer Code'].str[:3]

#add a new column:
#in order to do that we need to convert the next column to numeric:
df21['List Price'] = pd.to_numeric(df21['List Price'], errors='coerce')
df21['Dealer Price']  = df21['List Price'].apply(lambda x: x*0.48) #new column equals half of other column
writer = pd.ExcelWriter('example2.xlsx', engine='xlsxwriter')

# Write your DataFrames to a file     
df21.to_excel(writer, 'Sheet1')

The actual view of the problem: enter image description here

Any constructive idea is appreciated. Thanks!

Upvotes: 2

Views: 1838

Answers (1)

emulbreh
emulbreh

Reputation: 3461

This column seems to be the index of your DataFrame. You can exclude it by passing index=False to to_excel().

Upvotes: 4

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