如何在Google Cloud ML上使用pandas.read_csv？

import pandas as pd

data = pd.read_csv('path/to/your/csv/file.csv')

gsutil cp path/to/your/csv/file.csv gs://your-bucket-name/

gcloud ml-engine jobs submit training job_name \
    --module-name your_module_name \
    --package-path your_package_path \
    --staging-bucket gs://your-bucket-name \
    --region your_region \
    -- \
    --input-file gs://your-bucket-name/file.csv

import pandas as pd
from google.cloud import storage

def read_csv_from_gcs(bucket_name, file_name):
    client = storage.Client()
    bucket = client.get_bucket(bucket_name)
    blob = bucket.blob(file_name)
    content = blob.download_as_text()
    data = pd.read_csv(pd.compat.StringIO(content))
    return data

data = read_csv_from_gcs('your-bucket-name', 'file.csv')