Python convert csv to xlsx

With my library pyexcel,

 $ pip install pyexcel pyexcel-xlsx

you can do it in one command line:

from pyexcel.cookbook import merge_all_to_a_book
# import pyexcel.ext.xlsx # no longer required if you use pyexcel >= 0.2.2 
import glob


merge_all_to_a_book(glob.glob("your_csv_directory/*.csv"), "output.xlsx")

Each csv will have its own sheet and the name will be their file name.

How I do it with openpyxl lib:

import csv
from openpyxl import Workbook

def convert_csv_to_xlsx(self):
    wb = Workbook()
    sheet = wb.active

    CSV_SEPARATOR = "#"

    with open("my_file.csv") as f:
        reader = csv.reader(f)
        for r, row in enumerate(reader):
            for c, col in enumerate(row):
                for idx, val in enumerate(col.split(CSV_SEPARATOR)):
                    cell = sheet.cell(row=r+1, column=idx+1)
                    cell.value = val

    wb.save("my_file.xlsx")

First install openpyxl:

pip install openpyxl

Then:

from openpyxl import Workbook
import csv


wb = Workbook()
ws = wb.active
with open('test.csv', 'r') as f:
    for row in csv.reader(f):
        ws.append(row)
wb.save('name.xlsx')

There is a simple way

import os
import csv
import sys

from openpyxl import Workbook

reload(sys)
sys.setdefaultencoding('utf8')

if __name__ == '__main__':
    workbook = Workbook()
    worksheet = workbook.active
    with open('input.csv', 'r') as f:
        reader = csv.reader(f)
        for r, row in enumerate(reader):
            for c, col in enumerate(row):
                for idx, val in enumerate(col.split(',')):
                    cell = worksheet.cell(row=r+1, column=c+1)
                    cell.value = val
    workbook.save('output.xlsx')

Adding an answer that exclusively uses the pandas library to read in a .csv file and save as a .xlsx file. This example makes use of pandas.read_csv (Link to docs) and pandas.dataframe.to_excel (Link to docs).

The fully reproducible example uses numpy to generate random numbers only, and this can be removed if you would like to use your own .csv file.

import pandas as pd
import numpy as np

# Creating a dataframe and saving as test.csv in current directory
df = pd.DataFrame(np.random.randn(100000, 3), columns=list('ABC'))
df.to_csv('test.csv', index = False)

# Reading in test.csv and saving as test.xlsx

df_new = pd.read_csv('test.csv')
writer = pd.ExcelWriter('test.xlsx')
df_new.to_excel(writer, index = False)
writer.save()

Simple two line code solution using pandas

  import pandas as pd

  read_file = pd.read_csv ('File name.csv')
  read_file.to_excel ('File name.xlsx', index = None, header=True)

Simple 1-to-1 CSV to XLSX file conversion without enumerating/looping through the rows:

import pyexcel

sheet = pyexcel.get_sheet(file_name="myFile.csv", delimiter=",")
sheet.save_as("myFile.xlsx")

Notes:

1. I have found that if the file_name is really long (>30 characters excluding path)
   then the resultant XLSX file will throw an error when Excel tries
   to load it. Excel will offer to fix the error which it does, but it
   is frustrating.
2. There is a great answer previously provided that
   combines all of the CSV files in a directory into one XLSX workbook,
   which fits a different use case than just trying to do a 1-to-1 CSV file to
   XLSX file conversion.

I have a problem of conversion when I run your code to convert my csv file to excel file.

To explain you can see with this picture below.

enter image description here

Regards,
Deros