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# 1. Install Python | |
# Linux: apt-get install python3 (python should already be installed) | |
# MacOS: brew install python3 (check homebrew if you do not have it yet) | |
# Windows: download Python from Microsoft Store (you can try with chocolatey package manager also) | |
# 2. Install PIP, Python package manager | |
# Linux: apt-get install pip3 | |
# MacOS: brew install pip3 (should be installed with Python3 normally, run it in any case) | |
# Windows: | |
# 3. Install script dependencies | |
# pip3 install pygsheets pandas | |
import pygsheets | |
import pandas as pd | |
from os import path, devnull, remove | |
GOOGLE_SHEETS_FILE_ID = 'to be filled in' | |
google_client = pygsheets.authorize() | |
spreadsheet = google_client.open_by_key(GOOGLE_SHEETS_FILE_ID) | |
wks_list = spreadsheet.worksheets() | |
dirname = path.dirname(__file__) | |
for wks in wks_list: | |
fname = wks.title + '.tsv' | |
tsvfpath = path.join(dirname, './data/' + wks.title + '.tsv') | |
jsonfpath = tsvfpath.replace('.tsv', '.json') | |
if (path.exists(jsonfpath)): | |
continue | |
#saving worksheet as .tsv file in data folder | |
wks.export( | |
pygsheets.ExportType.TSV, | |
path=path.join(dirname, './data/'), | |
filename=wks.title | |
) | |
data_frame = pd.read_csv(tsvfpath, sep='\t') | |
data_frame.to_json(tsvfpath.replace('.tsv', '.json'), | |
orient='records', indent=2) | |
remove(tsvfpath) |
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