Pandas 从 12 个 excel 文档导入 - FileNotFoundError: [Errno 2] No such file or directory: 'x'

Question

Python 新手-我尝试通过搜索上述错误时出现的解决方案进行反复试验。每当我过去使用 pandas 时，我都会使用 while 循环来遍历每个单独的文件，然后再打开一个新文件以向我的数据框添加信息。在这里，我的目标只是通过 pdr.over_ride() 从不同部门获取上周的数据。

它会正确下载文件，但是当尝试将列分配为变量时（当我通过 while 循环一次执行一个列时有效），我不断收到 FileNotFoundError: [Errno 2] No such file 或目录：'x'错误。

我没有看到我在哪里要求 python 获取一个名为“x”的文件，并搜索了 stackexchange 并尝试查看 pandas 文档以找到解决方案。任何帮助或指向解决方案或替代方法的方向将不胜感激。

这是完整的错误，然后是我的代码：

Traceback (most recent call last):
  File "c:/Users/jchil/Desktop/python/Finance/MarketWatch.py", line 45, in <module>
    df0 = pd.read_excel(savename[0], 'Sheet1')
  File "C:\Users\jchil\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\excel\_base.py", line 304, in read_excel
    io = ExcelFile(io, engine=engine)
  File "C:\Users\jchil\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\excel\_base.py", line 824, in __init__
    self._reader = self._engines[engine](self._io)
  File "C:\Users\jchil\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\excel\_xlrd.py", line 21, in __init__
    super().__init__(filepath_or_buffer)
  File "C:\Users\jchil\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\excel\_base.py", line 353, in __init__
    self.book = self.load_workbook(filepath_or_buffer)
  File "C:\Users\jchil\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\excel\_xlrd.py", line 36, in load_workbook
    return open_workbook(filepath_or_buffer)
  File "C:\Users\jchil\AppData\Local\Programs\Python\Python38-32\lib\site-packages\xlrd\__init__.py", line 111, in open_workbook
    with open(filename, "rb") as f:
FileNotFoundError: [Errno 2] No such file or directory: 'x'

from pandas_datareader import data as pdr
import matplotlib.pyplot as plt
from matplotlib import style
from money import Money
import yfinance as yf
import pandas as pd
import numpy as np
import datetime
import sys
import re
import os

spiders = {
    '^GSPC': 'S&P 500', 'xlp': 'consumer staples select sector', 'xly': 'consumer discretionary select sector',
    'xlk': 'technology select sector', 'xlv': 'health care select sector', 'xli': 'industrials select sector',
    'xlu': 'utilities select sector', 'xlb': 'materials select sector', 'xle': 'energy select sector',
    'xlf': 'financial select sector', 'xlre': 'real estate select sector', 'xlc': 'communication services select sector'}

keys, values = zip(*spiders.items())
print ("keys : ", str(keys))

begin = "2020-05-01"
through = "2020-06-01"

yf.pdr_override()

collecting = True
savelist = []
j = 0

while collecting == True:
    #index = pdr.get_data_yahoo(keys[j], start=begin, end=through)
    #saver = index.to_excel(str(keys[j]) + '.xlsx')
    savename = str(keys[j]) + '.xlsx'
    savelist.append(savename)
    print(savelist)
    j = j + 1

    if j == len(values):
        collecting = False

df0 = pd.read_excel(savename[0], 'Sheet1')
df1 = pd.read_excel(savename[1], 'Sheet1')
df2 = pd.read_excel(savename[2], 'Sheet1')
df3 = pd.read_excel(savename[3], 'Sheet1')
df4 = pd.read_excel(savename[4], 'Sheet1')
df5 = pd.read_excel(savename[5], 'Sheet1')
df6 = pd.read_excel(savename[6], 'Sheet1')
df7 = pd.read_excel(savename[7], 'Sheet1')
df8 = pd.read_excel(savename[8], 'Sheet1')
df9 = pd.read_excel(savename[9], 'Sheet1')
df10 = pd.read_excel(savename[10], 'Sheet1')
df11 = pd.read_excel(savename[11], 'Sheet1')

date = df0['Date']
snp = df0['Adj Close']
xlp = df1['Adj Close']
xly = df2['Adj Close']
xlk = df3['Adj Close']
xlv = df4['Adj Close']
xli = df5['Adj Close']
xlu = df6['Adj Close']
xlb = df7['Adj Close']
xle = df8['Adj Close']
xlf = df9['Adj Close']
xlre = df10['Adj Close']
xlc = df11['Adj Close']'''

Answer 1

我认为您想要每个 read_excel 语句的累加器变量 savelist，而不是您在循环中使用的变量 savename。如所写，这将获取savename 的最后一个值的每个字符并将其解释为文件名。