使用Datetimeindex列表中的值在以datetimeindex

编程问答 2022-08-16

问题描述

菜鸟，但我正在学习，因此，如果这是一个简单的问题，请耐心等待...

当我尝试访问带有DatetimeIndex索引的数据帧中的特定行时，收到以下错误：DatetimeIndex格式的时间戳记值列表中的值：

*Traceback (most recent call last):
  File "C:/TWS API/samples/Python/Testbed/earnings_processing.py",line 100,in <module>
    print(names_histories_dicts[names_list[1]][earns_hists_dates_dicts[names_list_lower[1]][5]])
  File "C:\TWS API\venv\lib\site-packages\pandas\core\frame.py",line 2800,in __getitem__
    indexer = self.columns.get_loc(key)
  File "C:\TWS API\venv\lib\site-packages\pandas\core\indexes\base.py",line 2648,in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas\_libs\index.pyx",line 111,in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\index.pyx",line 138,in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi",line 1619,in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi",line 1627,in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: Timestamp('2019-05-01 00:00:00')*

列表和数据框索引都是使用

创建的 
pd.to_datetime(_______,format="%Y-%m-%d")

如果有人感兴趣，可以提供代码。

谢谢！

例如：

import pandas as pd
from datetime import datetime

# pd.set_option("display.max_rows",None,"display.max_columns",None)

# list of names
names = pd.read_csv('_________________.csv')
names_list = names['ticker label'].to_list()


#convert names list to lower case
names_list_lower = []
for i in range(len(names_list)):
    names_list_lower.append(names_list[i].lower())
print(names_list_lower)

#create dictionary with names as keys to receive csv's
earns_hists_dicts = dict.fromkeys(names_list_lower)

#import name price histories from csv's
for i in names_list_lower:
    csvpath = f"_______________{i}.csv"
    earns_hists_dicts[i] = pd.read_csv(csvpath)
    del earns_hists_dicts[i]['ticker']
    del earns_hists_dicts[i]['companyshortname']
    del earns_hists_dicts[i]['startdatetimetype']
    del earns_hists_dicts[i]['timeZoneshortName']
    del earns_hists_dicts[i]['gmtOffsetMilliSeconds']
    del earns_hists_dicts[i]['quoteType']
    earns_hists_dicts[i]['datetime_day'] = ""

    for j in range(len(earns_hists_dicts[i])):
        earns_hists_dicts[i]['datetime_day'][j] = earns_hists_dicts[i]['startdatetime'][j][:10]
    earns_hists_dicts[i]['datetime_date'] = pd.to_datetime(earns_hists_dicts[i]['datetime_day'],format="%Y-%m-%d")
    earns_hists_dicts[i] = earns_hists_dicts[i].set_index('datetime_date')
    del earns_hists_dicts[i]['startdatetime']

earns_hists_dates_dicts = dict.fromkeys(names_list_lower)

for i in names_list_lower:
    earns_hists_dates_dicts[i] = earns_hists_dicts[i]['datetime_day'].tolist()

for i in names_list_lower:
    earns_hists_dates_dicts[i] = pd.to_datetime(earns_hists_dates_dicts[i],format="%Y-%m-%d")


#create dictionary with names as keys to receive csv's
names_histories_dicts = dict.fromkeys(names_list,[])

#import name price histories from csv's
for i in names_list:
    csvpath = f"_________________________{i}.csv"
    names_histories_dicts[i] = pd.read_csv(csvpath)
    names_histories_dicts[i]['datetime_date'] = pd.to_datetime(names_histories_dicts[i]['Date'],format="%Y-%m-%d")
    names_histories_dicts[i] = names_histories_dicts[i].set_index('datetime_date')
    print(type(names_histories_dicts[i].index))


print(names_histories_dicts[names_list[1]][earns_hists_dates_dicts[names_list_lower[1]][5]])

解决方法

暂无找到可以解决该程序问题的有效方法，小编努力寻找整理中！

如果你已经找到好的解决方法，欢迎将解决方案带上本链接一起发送给小编。

小编邮箱:dio#foxmail.com (将#修改为@）

datetimeindexindexingindexingpandaspandaspythontimestamptimestamp