@@ -10345,15 +10345,13 @@ def _stat_function_ddof(
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name : str ,
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func ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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ddof = 1 ,
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numeric_only = None ,
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** kwargs ,
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):
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nv .validate_stat_ddof_func ((), kwargs , fname = name )
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- if skipna is None :
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- skipna = True
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if axis is None :
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axis = self ._stat_axis_number
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if level is not None :
@@ -10372,21 +10370,21 @@ def _stat_function_ddof(
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)
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def sem (
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- self , axis = None , skipna = None , level = None , ddof = 1 , numeric_only = None , ** kwargs
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+ self , axis = None , skipna = True , level = None , ddof = 1 , numeric_only = None , ** kwargs
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):
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return self ._stat_function_ddof (
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"sem" , nanops .nansem , axis , skipna , level , ddof , numeric_only , ** kwargs
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)
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def var (
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- self , axis = None , skipna = None , level = None , ddof = 1 , numeric_only = None , ** kwargs
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+ self , axis = None , skipna = True , level = None , ddof = 1 , numeric_only = None , ** kwargs
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):
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return self ._stat_function_ddof (
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"var" , nanops .nanvar , axis , skipna , level , ddof , numeric_only , ** kwargs
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)
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def std (
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- self , axis = None , skipna = None , level = None , ddof = 1 , numeric_only = None , ** kwargs
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+ self , axis = None , skipna = True , level = None , ddof = 1 , numeric_only = None , ** kwargs
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):
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return self ._stat_function_ddof (
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"std" , nanops .nanstd , axis , skipna , level , ddof , numeric_only , ** kwargs
@@ -10398,7 +10396,7 @@ def _stat_function(
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name : str ,
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func ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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numeric_only = None ,
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** kwargs ,
@@ -10407,8 +10405,6 @@ def _stat_function(
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nv .validate_median ((), kwargs )
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else :
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nv .validate_stat_func ((), kwargs , fname = name )
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- if skipna is None :
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- skipna = True
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if axis is None :
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axis = self ._stat_axis_number
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if level is not None :
@@ -10426,32 +10422,32 @@ def _stat_function(
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func , name = name , axis = axis , skipna = skipna , numeric_only = numeric_only
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)
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- def min (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def min (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return self ._stat_function (
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"min" , nanops .nanmin , axis , skipna , level , numeric_only , ** kwargs
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)
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- def max (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def max (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return self ._stat_function (
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"max" , nanops .nanmax , axis , skipna , level , numeric_only , ** kwargs
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)
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- def mean (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def mean (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return self ._stat_function (
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"mean" , nanops .nanmean , axis , skipna , level , numeric_only , ** kwargs
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)
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- def median (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def median (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return self ._stat_function (
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"median" , nanops .nanmedian , axis , skipna , level , numeric_only , ** kwargs
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)
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- def skew (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def skew (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return self ._stat_function (
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"skew" , nanops .nanskew , axis , skipna , level , numeric_only , ** kwargs
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)
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- def kurt (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def kurt (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return self ._stat_function (
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"kurt" , nanops .nankurt , axis , skipna , level , numeric_only , ** kwargs
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)
@@ -10464,7 +10460,7 @@ def _min_count_stat_function(
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name : str ,
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func ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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numeric_only = None ,
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min_count = 0 ,
@@ -10476,8 +10472,6 @@ def _min_count_stat_function(
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nv .validate_prod ((), kwargs )
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else :
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nv .validate_stat_func ((), kwargs , fname = name )
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- if skipna is None :
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- skipna = True
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if axis is None :
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axis = self ._stat_axis_number
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if level is not None :
@@ -10508,7 +10502,7 @@ def _min_count_stat_function(
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def sum (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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numeric_only = None ,
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min_count = 0 ,
@@ -10521,7 +10515,7 @@ def sum(
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def prod (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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numeric_only = None ,
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min_count = 0 ,
@@ -10648,7 +10642,7 @@ def mad(self, axis=None, skipna=None, level=None):
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def sem (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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ddof = 1 ,
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numeric_only = None ,
@@ -10670,7 +10664,7 @@ def sem(
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def var (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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ddof = 1 ,
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numeric_only = None ,
@@ -10693,7 +10687,7 @@ def var(
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def std (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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ddof = 1 ,
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numeric_only = None ,
@@ -10773,7 +10767,7 @@ def cumprod(self, axis=None, skipna=True, *args, **kwargs):
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def sum (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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numeric_only = None ,
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min_count = 0 ,
@@ -10798,7 +10792,7 @@ def sum(
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def prod (
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self ,
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axis = None ,
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- skipna = None ,
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+ skipna = True ,
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level = None ,
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numeric_only = None ,
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min_count = 0 ,
@@ -10821,7 +10815,7 @@ def prod(
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see_also = "" ,
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examples = "" ,
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)
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- def mean (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def mean (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return NDFrame .mean (self , axis , skipna , level , numeric_only , ** kwargs )
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setattr (cls , "mean" , mean )
@@ -10836,7 +10830,7 @@ def mean(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs):
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see_also = "" ,
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examples = "" ,
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)
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- def skew (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def skew (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return NDFrame .skew (self , axis , skipna , level , numeric_only , ** kwargs )
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setattr (cls , "skew" , skew )
@@ -10854,7 +10848,7 @@ def skew(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs):
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see_also = "" ,
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examples = "" ,
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)
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- def kurt (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def kurt (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return NDFrame .kurt (self , axis , skipna , level , numeric_only , ** kwargs )
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setattr (cls , "kurt" , kurt )
@@ -10871,7 +10865,7 @@ def kurt(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs):
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examples = "" ,
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)
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def median (
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- self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs
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+ self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs
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):
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return NDFrame .median (self , axis , skipna , level , numeric_only , ** kwargs )
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@@ -10889,7 +10883,7 @@ def median(
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see_also = _stat_func_see_also ,
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examples = _max_examples ,
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)
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- def max (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def max (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return NDFrame .max (self , axis , skipna , level , numeric_only , ** kwargs )
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setattr (cls , "max" , max )
@@ -10906,7 +10900,7 @@ def max(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs):
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see_also = _stat_func_see_also ,
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examples = _min_examples ,
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)
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- def min (self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ):
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+ def min (self , axis = None , skipna = True , level = None , numeric_only = None , ** kwargs ):
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return NDFrame .min (self , axis , skipna , level , numeric_only , ** kwargs )
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setattr (cls , "min" , min )
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