TypeError 'DataFrame' 对象不可调用答案

【问题标题】：TypeError 'DataFrame' object is not callableTypeError 'DataFrame' 对象不可调用
【发布时间】：2020-10-08 22:47:56
【问题描述】：

我创建了一个函数并在 for 循环中使用它，但得到 TypeError 'DataFrame' object is not callable

def Freq(df, keyvar, *args):
    Freq = pd.DataFrame({'Frequency': df.groupby([*args])[keyvar].count()}).reset_index()
    Freq['Percent'] = (Freq['Frequency']/sum(Freq['Frequency'])*100).round(2)
    Freq['Cumulative Frequency'] = Freq['Frequency'].cumsum()
    Freq['Cumulative Percent'] = (Freq['Cumulative Frequency']/sum(Freq['Frequency'])*100).round(2)
    return Freq

我在上面使用了这个Freq()：

freq_var = ['A', 'B', 'C', 'D', 'E']
for col in freq_var:
    Freq = Freq(data, 'KEYS', f'{col}')
    print(f'============ {col} frequency table ============\n{Freq}\n\n')


---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-30-2d4041b2961b> in <module>()
      1 freq_var = ['A', 'B', 'C', 'D', 'E']
      2 for col in freq_var:
----> 3     Freq = Freq(data, 'KEYS', f'{col}')
      4     print(f'============ {col} frequency table ============\n{Freq}\n\n')

TypeError: 'DataFrame' object is not callable

如果我没有调用Freq()直接输入，没有错误，输出成功。

for col in freq_var:
    Freq = pd.DataFrame({'Frequency': data.groupby([col])['KEYS'].count()}).reset_index()
    Freq['Percent'] = (Freq['Frequency']/sum(Freq['Frequency'])*100).round(2)
    Freq['Cumulative Frequency'] = Freq['Frequency'].cumsum()
    Freq['Cumulative Percent'] = (Freq['Cumulative Frequency']/sum(Freq['Frequency'])*100).round(2) 
    print(f'============ {col} frequency table ============\n{Freq}\n\n')

有人知道这个问题吗？

【问题讨论】：

标签： python pandas error-handling pandas-groupby data-manipulation

【解决方案1】：

不要将变量命名为与函数名称相同。您实际上是在用 DataFrame 覆盖您的函数，所以当您的第二次迭代发生时，Freq 是一个数据帧，而不是您认为的函数。

freq_var = ['A', 'B', 'C', 'D', 'E']
for col in freq_var:
    freq_df = Freq(data, 'KEYS', f'{col}')
    print(f'============ {col} frequency table ============\n{freq_df}\n\n')

【讨论】：