Created
April 21, 2021 17:52
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# Code snippet to convert all .csv files in the current directory to .xlsx files and upload to smartsheet | |
import os | |
import glob | |
import pandas as pd | |
import numpy as np | |
import smartsheet # Package smartsheek-python-sdk | |
import openpyxl | |
# Smartsheet Token for use with API | |
TOKEN = "<YOUR TOKEN HERE>" | |
xSheet = smartsheet.Smartsheet(TOKEN) | |
extension = 'csv' | |
result = glob.glob('*.{}'.format(extension)) | |
# Loop every csv file in current dir | |
for file_ in result: | |
file_full = os.path.join(os.getcwd(), file_) | |
outname, file_ext = os.path.splitext(file_) | |
# Reading the csv file into dataframe | |
print("Reading: "+file_) | |
df_new = pd.read_csv(file_full) | |
# Convert dataframe to excel and save xlsx file | |
GFG = pd.ExcelWriter(outname+".xlsx", engine='openpyxl') | |
df_new.to_excel(GFG, index = False) | |
GFG.save() | |
# Rename sheet in workbook to original filename | |
print("Renaming sheet in file: "+outname+".xlsx") | |
ss=openpyxl.load_workbook(outname+".xlsx") | |
ss_sheet = ss['Sheet1'] | |
ss_sheet.title = outname | |
ss.save(outname+".xlsx") | |
# Get full file path | |
file_up = os.path.join(os.getcwd(), outname+".xlsx") | |
# Upload to Smartsheet | |
print("Uploading file to SS") | |
imported_sheet = xSheet.Sheets.import_xlsx_sheet( | |
file_up, # Workbook | |
outname, #sheet_name | |
header_row_index=0 | |
) |
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