通过 API 将 pandas 数据帧传输到 Bigquery

Question

我无法再将数据帧写入大查询。以前这是有效的。

使用 google-cloud-bigquery 3.22.0 使用谷歌云0.34.0

import requests
import json
import pandas as pd
import google.auth
from google.cloud import bigquery
import numpy as np

def authenticate():
    creds, projects = google.auth.default()
    project = 'project'  # Project ID inserted based on the query results selected to explore
    location = 'US'  # Location inserted based on the query results selected to explore
    client = bigquery.Client(project=project, location=location)
    return client

def update_table(table_id, data, client):
    job_config = bigquery.LoadJobConfig(
        create_disposition="CREATE_IF_NEEDED",
        write_disposition="WRITE_TRUNCATE")

    job = client.load_table_from_dataframe(
        data, table_id, job_config=job_config)  # Make an API request.
    return job.result()

df = pd.DataFrame(np.arange(12).reshape(3, 4),
              columns=['A', 'B', 'C', 'D'])

print(df)
table = ['table_name']
client = authenticate()
xx = update_table(table, df, client)

回溯（最近一次调用最后一次）： 文件“c:\Users\StoneA\Documents\GitHub\UMe_almanac\df_testing.py”，第 31 行，位于 xx = update_table(表、df、客户端) 文件“c:\Users\StoneA\Documents\GitHub\UMe_almanac\df_testing.py”，第 21 行，在 update_table 中 作业= client.load_table_from_dataframe( 文件“C：\ Users \ StoneA \ AppData \ Local naconda3 nvs \ justin_model \ lib \ site-packages \ googl