Excel to google sheets python
Show Microsoft released the first version of Excel for the Macintosh on September 30, 1985. After that Google released the Google Sheet which has the same functions as MS Excel. Most companies and their data analysts get used to using Excel or Google Sheet to manipulate and analyze the data. Almost every data analyst use Excel or Google Sheet every day. For me, Excel or Google Sheet is good for storing the data but not comfortable to clean, mine, and visualize the data. If you are the same as me, there is a way to connect Google Sheet and Python. Then we can extract the data from Google Sheet and upload the updated data to the same Google Sheet but a new sheet. There are several steps to connect Google Sheet and Python. Necessary pre-work that we need to doFirst of all, you need an account to log in Google developer console and create a new project. You can name it as anything you want. Then you need to click the “Library” on the left side and search “Google Drive API” then select it and enable it. After that, we need to go back to click the “Library” again and search “Google Sheet API”. After you enable it you need to click “Credential” on the left side to create credentials for a Web Server to access Application Data then name the service account and grant it a Project Role of Editor. Then we can download the JSON file to the desired location and rename it as “creds.json”. Don’t worry. For the first time, you may feel very confused. Here is the video tutorial to all the steps in the pre-work part. Python Code
#If you did not install gspread, you need to install it first
def client_email(creds_file): There is one information from the “creds.json” that is very important — client_email. For example, we have a google sheet which contains all the data that we need to analyze, and if we want to share it, we normally use email to share the Google sheet file. Here we can just simply copy can paste your client_email, and share your Google Sheet with this email.
# obtain the client email and the data from google sheet with dataframe type
def upload_data_to_gs(title,sheet_page,updated_df):
# Get client_email and share the Google Sheet with this email
new_data=df.groupby(['Clicked on Ad','Gender'])["Daily Internet Usage"].mean().reset_index() You can also clean the data with python and upload the cleaned data or any data that you want to upload the same google sheet file.
upload_data_to_gs('target_gender_DailyInternetUsage',4,new_data) ConclusionFor me, it is easier to visualize the data using python because I can flexibly manipulate the data with Python. If you are not very familiar with some functions of Google Sheet, you can just manipulate the desired data using Python, then upload those datasets to the same google sheet file in different sheets. The reason why I want to do this because some companies require you to create a dashboard and sometimes it is very time-consuming to create some pivot tables or any tables using query/sumifs or other functions in Google Sheet. So we can just directly use the datasets that we uploaded to easily create a dashboard. How do I add data to Google Sheets using Python?Here's what you would need to establish the Python to Google Sheets connection.. Python 2.6 or later.. The pip package.. API (Application Programming Interface) enabled the Google Cloud Platform project.. Authorization credentials.. A Google account.. How do I automatically transfer data from Excel to Google Sheets?To automatically convert all future uploads of Office files to Google Sheets:. In Drive, at the top, click Settings. Settings.. Next to Convert uploads, turn on Convert uploaded files to Google Docs editor format. Note: Previously uploaded files will not be converted.. Can I Automate Google Sheets with Python?It's been possible to automate Google Sheets via the Google Sheets API for many years and there are multiple Python packages available that wrap this API: there's gspread, pygsheets, ezsheets, and Google's own google-api-python-client.
How do I use Google Sheets API in Python?A Google account.. Step 1: Install the Google client library. To install the Google client library for Python, run the following command: pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib. ... . Step 2: Configure the sample. To configure the sample: ... . Step 3: Run the sample. To run the sample:. |