import pandas_datareader.data as web 2. 确定要获取的数据源和相应参数 pandas_datareader支持从多个数据源获取数据,如雅虎财经(Yahoo Finance)、谷歌财经(Google Finance,但需注意谷歌财经的API可能已经停止更新)、世界银行(World Bank)等。你需要确定要从哪个数据源获取数据,并准备好相应的参数,如股票代码、指标...
ImportError: The pandas.io.data module is moved to a separate package (pandas-datareader). After installing the pandas-datareader package (https:///pydata/pandas-datareader), you can change the import ``from pandas.io import data, wb`` to ``from pandas_datareader import data, wb``. 1...
pip install pandas_datareader pandas_datareader官网 pandas_datareader github importpandas_datareader.dataaswebimportdatetimeasdt start = dt.datetime(2021,1,1)#获取数据的时间段-起始时间#end = dt.datetime(2021,6,10)#获取数据的时间段-结束时间end = dt.date.today()#结束时间为当前时间stockData = ...
运行“ import pandas_datareader.data as web” 问题:prices = web.DataReader('AAPL', 'yahoo', start, end) yahoo不稳定 yahoo 换成google也不可以 使用新思路: importdatetimeimportpandasaspdimportpandas_datareader.dataaswebstart=datetime.datetime(2016,1,1)end=datetime.datetime(2016,1,8)prices=web....
import pandas_datareader.data as web #Series是一种类似于一维数组的对象,它由一组数据(各种NumPy数据类型)以及一组与之相关的数据标签(即索引)组成。仅由一组数据即可产生最简单的Series: # obj2 = pd.Series([4, 7, -5, 3], index=['d', 'b', 'a', 'c']) ...
data as web from datetime import datetime start=datetime(2017,1,1) end=datetime(2017,1,15) df=web.DataReader('APPL','yahoo',start,end) 我得到错误: KeyError Traceback (most recent call last) ~\.conda\envs\tensorflow\lib\site-packages\pandas\core\indexes\base.py in get_loc(self, key,...
我使用pandas_datareader模块下载了一些股票数据:import pandas_datareader.data as weball_data = {ticker: web.get_data_yahoo(ticker) for ticker in ['AAPL', 'IBM', 'MSFT', 'GOOG']}price = pd.DataFrame({ticker: data['Adj Close'] for ticker, data in all_data.items()})volume = pd....
import pandas_datareader.data as web pandas_datareader is already installed in my normal and virtualenv with the below command: pip3.8 install pandas_datareader. I switched to the virtualenv as the normal one also gave the same error.
importpandas_datareader.dataasweb all_data = {ticker: web.get_data_yahoo(ticker) fortickerin['AAPL','IBM','MSFT','GOOG']} price = pd.DataFrame({ticker: data['Adj Close'] forticker, datainall_data.items()}) volume = pd.DataFrame({ticker: data['Volume'] ...
import pandas as pd import matplotlib.pyplot as plt import pandas_datareader.data as web import yfinance as yf import datetime yf.pdr_override() google=web.get_data_yahoo('GOOGL',start='2004-08-19',end='2020-07-31',data_source='google') ...