Read CSV from Google Cloud Storage to Pandas Dataframe

Reading CSV files from Google Cloud Storage using pandas

Accessing and using csv file from Cloud Storage in Cloud Run instance

How to read all CSV files from google cloud storage location into a single pandas dataframe?

Try using the ls command in gsutil

Ex:

import subprocess

result = subprocess.run(['gsutil', 'ls', 'gs://custom_jobs/python_test/*.csv'], stdout=subprocess.PIPE)

all_dat = pd.DataFrame()
for file in result.stdout.splitlines():
dat = pd.read_csv(file.strip())
all_dat = all_dat.append(dat, ignore_index=True)

How to get a .csv into a dataframe from gcs with credentials from script?

Read CSV file to Datalab from Google Cloud Storage and convert to pandas dataframe

Reading all .csv files from a google storage bucket into one large pandas df, then saving back as .csv to another bucket



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