PYTHON - 木星笔记本。 错误代码 function

Question

Function 添加 dataframe df 的行和列的总计，并告诉变量它是哪一列

def Find_Total_CrossTab(df,Variable_name_index):
    df.loc[:,'Total'] = df.sum(numeric_only=True, axis=1)
    df=df.reset_index()
    df=df.append(df.sum(), ignore_index=True).set_index(Variable_name_index)
    return df

这不断返回一个错误代码，它是： <built-in function _abc_instancecheck> returned a result with an error set 。 我能做些什么来解决这个问题吗？

我的数据集非常大。 我一直在为它使用交叉表，所以我使用了以下内容：

# Defining the dataframe
df_1=pd.crosstab(index=df["Interval of Sales"], columns=df['Type of Customer'])

# Defining the index 
name_of_index='Interval of Sales'

# Using the function
df_Cross_Table=Find_Total_CrossTab(df_1, name_of_index)
df_Cross_Table

我得到的错误代码是：

    TypeError                                 Traceback (most recent call last)
TypeError: unsupported operand type(s) for +: 'pandas._libs.interval.Interval' and 'pandas._libs.interval.Interval'

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

SystemError                               Traceback (most recent call last)
pandas/_libs/interval.pyx in pandas._libs.interval.Interval.__add__()

~/opt/anaconda3/lib/python3.8/abc.py in __instancecheck__(cls, instance)
     97             """Override for isinstance(instance, cls)."""
---> 98             return _abc_instancecheck(cls, instance)
     99 

SystemError: <built-in function _abc_instancecheck> returned a result with an error set

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

SystemError                               Traceback (most recent call last)
pandas/_libs/interval.pyx in pandas._libs.interval.Interval.__add__()

~/opt/anaconda3/lib/python3.8/abc.py in __instancecheck__(cls, instance)
     97             """Override for isinstance(instance, cls)."""
---> 98             return _abc_instancecheck(cls, instance)
     99 

SystemError: <built-in function _abc_instancecheck> returned a result with an error set

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

SystemError                               Traceback (most recent call last)
<ipython-input-33-bbc580caf84c> in <module>
      6 
      7 # Using the function
----> 8 df_Cross_Table=Find_Total_CrossTab(df_1, name_of_index)
      9 df_Cross_Table

<ipython-input-32-188c1525f216> in Find_Total_CrossTab(df, Variable_name_index)
      3     df.loc[:,'Total'] = df.sum(numeric_only=True, axis=1)
      4     df=df.reset_index()
----> 5     df=df.append(df.sum(), ignore_index=True).set_index(Variable_name_index)
      6     return df

~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in stat_func(self, axis, skipna, level, numeric_only, min_count, **kwargs)
  11174                 name, axis=axis, level=level, skipna=skipna, min_count=min_count
  11175             )
> 11176         return self._reduce(
  11177             f,
  11178             name,

~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in _reduce(self, op, name, axis, skipna, numeric_only, filter_type, **kwds)
   7911             values = self.values
   7912             try:
-> 7913                 result = f(values)
   7914 
   7915                 if filter_type == "bool" and is_object_dtype(values) and axis is None:

~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in f(x)
   7863 
   7864         def f(x):
-> 7865             return op(x, axis=axis, skipna=skipna, **kwds)
   7866 
   7867         def _get_data(axis_matters):

~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/nanops.py in _f(*args, **kwargs)
     67             try:
     68                 with np.errstate(invalid="ignore"):
---> 69                     return f(*args, **kwargs)
     70             except ValueError as e:
     71                 # we want to transform an object array

~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/nanops.py in nansum(values, axis, skipna, min_count, mask)
    491     elif is_timedelta64_dtype(dtype):
    492         dtype_sum = np.float64
--> 493     the_sum = values.sum(axis, dtype=dtype_sum)
    494     the_sum = _maybe_null_out(the_sum, axis, mask, values.shape, min_count=min_count)
    495 

~/opt/anaconda3/lib/python3.8/site-packages/numpy/core/_methods.py in _sum(a, axis, dtype, out, keepdims, initial, where)
     36 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,
     37          initial=_NoValue, where=True):
---> 38     return umr_sum(a, axis, dtype, out, keepdims, initial, where)
     39 
     40 def _prod(a, axis=None, dtype=None, out=None, keepdims=False,

pandas/_libs/interval.pyx in pandas._libs.interval.Interval.__add__()

~/opt/anaconda3/lib/python3.8/abc.py in __instancecheck__(cls, instance)
     96         def __instancecheck__(cls, instance):
     97             """Override for isinstance(instance, cls)."""
---> 98             return _abc_instancecheck(cls, instance)
     99 
    100         def __subclasscheck__(cls, subclass):

SystemError: <built-in function _abc_instancecheck> returned a result with an error set

Answer 1

我使用一些样本数据运行代码，它对我有用。 看看我做了什么。 您能否提供您的数据集样本并提及您如何称呼 function？ 我假设Variable_name_index应该是一个包含 header 名称的列表。 如果不是，你能说出你的意图吗？

import pandas as pd
df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
                   'num_wings': [2, 0, 0, 0],
                   'num_specimen_seen': [10, 2, 1, 8]},
                  index=['falcon', 'dog', 'spider', 'fish'])

df
Out[1]
            num_legs  num_wings  num_specimen_seen  Total
falcon         2          2                 10     14
dog            4          0                  2      6
spider         8          0                  1      9
fish           0          0                  8      8


def Find_Total_CrossTab(df,Variable_name_index):
    df.loc[:,'Total'] = df.sum(numeric_only=True, axis=1)
    df=df.reset_index()
    df=df.append(df.sum(), ignore_index=True).set_index(Variable_name_index)
    return df

运行后，我得到以下 output：

Find_Total_CrossTab(df, ['num_legs', 'num_wings'])

Out[2]: 
                                  index  num_specimen_seen  Total
num_legs num_wings                                               
2        2                       falcon                 10     14
4        0                          dog                  2      6
8        0                       spider                  1      9
0        0                         fish                  8      8
14       2          falcondogspiderfish                 21     37