TypeError: 'function' object is not subscriptable

Question

报错：Traceback (most recent call last):
File "E:2.py", line 61, in
print(df['用人单位列席'].unique())
TypeError: 'function' object is not subscriptable

内容：

import pandas as pd
from pyecharts.charts import *
from numpy import array
import numpy as np

df = pd.read_excel('E:\python文件夹\职位列表.xlsx')
print(df)
print(df.head(5))

# 处理异常值
print(df['所需经验'].unique())
print(df["所需经验"].replace('其他', '无需经验', inplace=True))
df_1 = df["所需经验"].value_counts()
print(df_1)

print(df['所需学历'].unique())
print(df["所需学历"].replace('招1人', '所需学历不限', inplace=True))
df_2 = df["所需学历"].value_counts()
print(df_2)

# # 薪水处理
print(df['薪水'].unique())
print(df.isnull())
df_3 = df["薪水"].value_counts()
print(df_3)
# print(df.isnull.sum())

df['bottom'] = df['薪水'].str.extract('^(.*?)-.*？')
print(df['bottom'])

df['top'] = df['薪水'].str.extract('^.*?-(\d\.\d|\d)')
print(df['top'])

print(df.info())

df['bottom'] = df['bottom'].astype('float64')
print(df['bottom'])
df['top'] = df['top'].astype('float64')
print(df['top'])
print(df.info())

# 填补缺失值\删除
df.dropna(subset=['薪水'], inplace=True)
print(df.dropna(subset=['薪水'], inplace=True))


# # 薪水区间
def df(first, end, step):
    x = []
    for i in np.arange(first, end, step):
        x.append(i)
    return x


list_1 = df(0, 30, 0.5)
print(list_1)

# print(df['top'].plot.hist(bins=30))
# print(plt.show())

print(df['用人单位列席'].unique())
print(df.isnull())
df_4 =(df["用人单位列席"].value_counts())
print(df_4)

print(df['用人单位类型'].unique())
print(df.isnull())
df_5 =(df["用人单位类型"].value_counts())
print(df_5)

print(df['所在城市'].unique())
print(df.isnull())
df_6 =(df["所在城市"].value_counts())
print(df_6)

Answer 1

def df(first, end, step):

df一会是函数名，一会是变量名，到底是啥？