[英]I can't save from dataframe to postgresql
import pandas as pd
import requests as rq
from sqlalchemy import create_engine
engine = create_engine('postgresql+psycopg2://postgres:3434@127.0.0.1/postgres')
temp = pd.DataFrame()
df = pd.DataFrame()
vehicleList = {"LX59ANR", "SN63NBK", "YY64GRU"}
for ids in vehicleList:
r = rq.get('https://api.tfl.gov.uk/Vehicle/' + ids + '/Arrivals')
r = r.text
temp = pd.read_json(r)
temp['Type'] = ids
df = pd.concat([df, temp], sort=False).reset_index(drop=True)
df.head(0).to_sql('tfl_bus', engine, if_exists='replace', index=False) # truncates the table
Hello.你好。 cannot save data from pandas(dataframe) to postgresql.
无法将数据从 pandas(dataframe) 保存到 postgresql。 only column names occurred.
只出现列名。
df.head(0)
needs to be replaced with just df
. df.head(0)
需要替换为df
。
The head(0)
strips away the actual data leaving the columns... head(0)
去除了离开列的实际数据......
This work , I added this line : df['timing'] = list(map(lambda x: json.dumps(x), df['timing']))这项工作,我添加了这一行: df['timing'] = list(map(lambda x: json.dumps(x), df['timing']))
import sqlalchemy as sa
import psycopg2
import requests as rq
import pandas as pd
import json
r = rq.get('https://api.tfl.gov.uk/Vehicle/SN63NBK/Arrivals')
temp = pd.DataFrame()
df = pd.DataFrame()
r = r.text
temp = pd.read_json(r)
temp['Type'] = '1'
df = pd.concat([df, temp], sort=False).reset_index(drop=True)
engine=sa.create_engine('postgresql+psycopg2://postgres:3434@127.0.0.1/postgres')
df['timing'] = list(map(lambda x: json.dumps(x), df['timing']))
df.to_sql('tfl_bus2', engine, if_exists='replace', index=False)
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