In [202]: sparse_series.dtype Out[203]: Sparse[bool, False] In [208]: sparse_series.value_counts() Out[208]: False 51386 True 13 Name: C_3D Printing, dtype: int64 In [209]: sparse_series.sum() --------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-209-8f6162710840> in <module> ----> 1 sparse_series.sum() ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/core/generic.py in stat_func(self, axis, skipna, level, numeric_only, min_count, **kwargs) 10929 skipna=skipna, min_count=min_count) 10930 return self._reduce(f, name, axis=axis, skipna=skipna, > 10931 numeric_only=numeric_only, min_count=min_count) 10932 10933 return set_function_name(stat_func, name, cls) ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/core/series.py in _reduce(self, op, name, axis, skipna, numeric_only, filter_type, **kwds) 3613 # dispatch to ExtensionArray interface 3614 if isinstance(delegate, ExtensionArray): -> 3615 return delegate._reduce(name, skipna=skipna, **kwds) 3616 elif is_datetime64_dtype(delegate): 3617 # use DatetimeIndex implementation to handle skipna correctly ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/core/arrays/sparse.py in _reduce(self, name, skipna, **kwargs) 1439 kwargs.pop('numeric_only', None) 1440 kwargs.pop('op', None) -> 1441 return getattr(arr, name)(**kwargs) 1442 1443 def all(self, axis=None, *args, **kwargs): ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/core/arrays/sparse.py in sum(self, axis, *args, **kwargs) 1491 sum : float 1492 """ -> 1493 nv.validate_sum(args, kwargs)  1494 valid_vals = self._valid_sp_values  1495 sp_sum = valid_vals.sum()  ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/compat/numpy/function.py in __call__(self, args, kwargs, fname, max_fname_arg_count, method)  54 validate_args_and_kwargs(fname, args, kwargs,  55 max_fname_arg_count, ---> 56 self.defaults)  57 else:  58 raise ValueError("invalid validation method "  ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/util/_validators.py in validate_args_and_kwargs(fname, args, kwargs, max_fname_arg_count, compat_args)  216   217 kwargs.update(args_dict) --> 218 validate_kwargs(fname, kwargs, compat_args)  219   220   ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/util/_validators.py in validate_kwargs(fname, kwargs, compat_args)  154 """ 155 kwds = kwargs.copy() --> 156 _check_for_invalid_keys(fname, kwargs, compat_args) 157 _check_for_default_values(fname, kwds, compat_args) 158 ~/anaconda3/envs/idp/lib/python3.6/site-packages/pandas/util/_validators.py in _check_for_invalid_keys(fname, kwargs, compat_args) 125 raise TypeError(("{fname}() got an unexpected " 126 "keyword argument '{arg}'". --> 127 format(fname=fname, arg=bad_arg))) 128 129 TypeError: sum() got an unexpected keyword argument 'min_count' In [210]: