读取 OpenOffice xlsx 文件中的数据，然后使用 python 转换为列表

Question

美好的一天。我正在使用 pandas 读取 xlsx 文件中的一列数据。我只有 1 列，里面塞满了不同年龄的人。这是我的代码：

import math
import pandas as pd
import openpyxl

df = pd.read_excel('/run/media/soumi/Luna (HDD)/CF-0001/PSHS/Statistics/Module 1/SLG 3.0 Data set 3.1 DOH COVID Data Drop Case Information.xlsx') # can also index sheet by name or fetch all sheets
num = df['B2:B57001;'].tolist()

num.sort() 
print(f'\n{num}')

fdt = pd.Series(num).value_counts().sort_index().reset_index().reset_index(drop=True)
fdt.columns = ['Element', 'Frequency']
print (fdt)

我希望它会为我创建一个频率表，但是，当我运行它时，它会向我显示：

 python -u "/run/media/soumi/Luna (HDD)/CF-0001/Programming/Python/Stat.py"
Traceback (most recent call last):
  File "/home/soumi/.local/lib/python3.9/site-packages/pandas/core/indexes/base.py", line 3361, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 76, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 108, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 5198, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 5206, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'B2:B57001;'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/run/media/soumi/Luna (HDD)/CF-0001/Programming/Python/Stat.py", line 6, in <module>
    num = df['B2:B57001;'].tolist()
  File "/home/soumi/.local/lib/python3.9/site-packages/pandas/core/frame.py", line 3458, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/home/soumi/.local/lib/python3.9/site-packages/pandas/core/indexes/base.py", line 3363, in get_loc
    raise KeyError(key) from err
KeyError: 'B2:B57001;'

我应该怎么做才能解决这个问题？提前致谢

编辑 1：我还要补充一点，我只使用 Manjaro，我不使用 Windows，所以我没有 excel 应用程序...如果有帮助

Answer 1

您的代码尝试查找名为 B2:B57001; 的列。你应该怎么做，IUUC：

num = df.iloc[:, 0].tolist()

如果你想从列Age构造频率表，那么你可以这样做：

frequency = pd.value_counts(df.Age).to_frame().reset_index()

如果您只需要频率列表，请执行以下操作：

freq_list = pd.value_counts(df.Age).to_frame().reset_index()['Age'].tolist()