python - 如何使用 python 过滤时间序列或数据框中的日期范围

Question

仍然是 Python 新手，只是想学习这些东西。感谢任何帮助。

现在，当我连接到 Alpha Vantage 时，我获得了所有日期的完整数据，看起来像这样

我找到了一些很好的指南来源，但我不断收到空数据框或错误

这就是到目前为止代码的样子

import pandas as pd
from pandas import DataFrame
import datetime
from datetime import datetime as dt
from alpha_vantage.timeseries import TimeSeries
import numpy as np

stock_ticker = 'SPY'
api_key = open('/content/drive/My Drive/Colab Notebooks/key').read()

ts = TimeSeries (key=api_key, output_format = "pandas")
data_daily, meta_data = ts.get_daily_adjusted(symbol=stock_ticker, outputsize ='full')
#data_date_changed = data[:'2019-11-29']

data = pd.DataFrame(data_daily)

df.loc[datetime.date(year=2014,month=1,day=1):datetime.date(year=2015,month=2,day=1)]

Answer 1

这个问题的答案是

stock_ticker = 'SPY'
api_key = 'apikeyddddd'

ts = TimeSeries (key=api_key, output_format = "pandas")
data_daily, meta_data = ts.get_daily_adjusted(symbol=stock_ticker, outputsize ='full')

test = data_daily[(data_daily.index > '2014-01-01') & (data_daily.index <= '2017-08-15')]

print(data_daily)
print(test)