Python pandas.core.nanops.nanmax() Examples
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code examples of pandas.core.nanops.nanmax().
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Example #1
Source File: test_nanops.py From recruit with Apache License 2.0 | 5 votes |
def test_nanmax(self): with warnings.catch_warnings(): warnings.simplefilter("ignore", RuntimeWarning) func = partial(self._minmax_wrap, func=np.max) self.check_funs(nanops.nanmax, func, allow_str=False, allow_obj=False)
Example #2
Source File: datetimelike.py From recruit with Apache License 2.0 | 5 votes |
def max(self, axis=None, skipna=True, *args, **kwargs): """ Return the maximum value of the Array or maximum along an axis. See Also -------- numpy.ndarray.max Index.max : Return the maximum value in an Index. Series.max : Return the maximum value in a Series. """ # TODO: skipna is broken with max. # See https://github.com/pandas-dev/pandas/issues/24265 nv.validate_max(args, kwargs) nv.validate_minmax_axis(axis) mask = self.isna() if skipna: values = self[~mask].asi8 elif mask.any(): return NaT else: values = self.asi8 if not len(values): # short-circut for empty max / min return NaT result = nanops.nanmax(values, skipna=skipna) # Don't have to worry about NA `result`, since no NA went in. return self._box_func(result) # ------------------------------------------------------------------- # Shared Constructor Helpers
Example #3
Source File: numpy_.py From recruit with Apache License 2.0 | 5 votes |
def max(self, axis=None, out=None, keepdims=False, skipna=True): nv.validate_max((), dict(out=out, keepdims=keepdims)) return nanops.nanmax(self._ndarray, axis=axis, skipna=skipna)
Example #4
Source File: base.py From recruit with Apache License 2.0 | 5 votes |
def max(self, axis=None, skipna=True): """ Return the maximum value of the Index. Parameters ---------- axis : int, optional For compatibility with NumPy. Only 0 or None are allowed. skipna : bool, default True Returns ------- scalar Maximum value. See Also -------- Index.min : Return the minimum value in an Index. Series.max : Return the maximum value in a Series. DataFrame.max : Return the maximum values in a DataFrame. Examples -------- >>> idx = pd.Index([3, 2, 1]) >>> idx.max() 3 >>> idx = pd.Index(['c', 'b', 'a']) >>> idx.max() 'c' For a MultiIndex, the maximum is determined lexicographically. >>> idx = pd.MultiIndex.from_product([('a', 'b'), (2, 1)]) >>> idx.max() ('b', 2) """ nv.validate_minmax_axis(axis) return nanops.nanmax(self._values, skipna=skipna)
Example #5
Source File: test_nanops.py From vnpy_crypto with MIT License | 5 votes |
def test_nanmax(self): with warnings.catch_warnings(record=True): func = partial(self._minmax_wrap, func=np.max) self.check_funs(nanops.nanmax, func, allow_str=False, allow_obj=False)
Example #6
Source File: base.py From vnpy_crypto with MIT License | 5 votes |
def max(self): """ Return the maximum value of the Index. Returns ------- scalar Maximum value. See Also -------- Index.min : Return the minimum value in an Index. Series.max : Return the maximum value in a Series. DataFrame.max : Return the maximum values in a DataFrame. Examples -------- >>> idx = pd.Index([3, 2, 1]) >>> idx.max() 3 >>> idx = pd.Index(['c', 'b', 'a']) >>> idx.max() 'c' For a MultiIndex, the maximum is determined lexicographically. >>> idx = pd.MultiIndex.from_product([('a', 'b'), (2, 1)]) >>> idx.max() ('b', 2) """ return nanops.nanmax(self.values)
Example #7
Source File: test_nanops.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def test_nanmax(self): with warnings.catch_warnings(): warnings.simplefilter("ignore", RuntimeWarning) func = partial(self._minmax_wrap, func=np.max) self.check_funs(nanops.nanmax, func, allow_str=False, allow_obj=False)
Example #8
Source File: datetimelike.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def max(self, axis=None, skipna=True, *args, **kwargs): """ Return the maximum value of the Array or maximum along an axis. See Also -------- numpy.ndarray.max Index.max : Return the maximum value in an Index. Series.max : Return the maximum value in a Series. """ # TODO: skipna is broken with max. # See https://github.com/pandas-dev/pandas/issues/24265 nv.validate_max(args, kwargs) nv.validate_minmax_axis(axis) mask = self.isna() if skipna: values = self[~mask].asi8 elif mask.any(): return NaT else: values = self.asi8 if not len(values): # short-circut for empty max / min return NaT result = nanops.nanmax(values, skipna=skipna) # Don't have to worry about NA `result`, since no NA went in. return self._box_func(result) # ------------------------------------------------------------------- # Shared Constructor Helpers
Example #9
Source File: numpy_.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def max(self, axis=None, out=None, keepdims=False, skipna=True): nv.validate_max((), dict(out=out, keepdims=keepdims)) return nanops.nanmax(self._ndarray, axis=axis, skipna=skipna)
Example #10
Source File: base.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 5 votes |
def max(self, axis=None, skipna=True): """ Return the maximum value of the Index. Parameters ---------- axis : int, optional For compatibility with NumPy. Only 0 or None are allowed. skipna : bool, default True Returns ------- scalar Maximum value. See Also -------- Index.min : Return the minimum value in an Index. Series.max : Return the maximum value in a Series. DataFrame.max : Return the maximum values in a DataFrame. Examples -------- >>> idx = pd.Index([3, 2, 1]) >>> idx.max() 3 >>> idx = pd.Index(['c', 'b', 'a']) >>> idx.max() 'c' For a MultiIndex, the maximum is determined lexicographically. >>> idx = pd.MultiIndex.from_product([('a', 'b'), (2, 1)]) >>> idx.max() ('b', 2) """ nv.validate_minmax_axis(axis) return nanops.nanmax(self._values, skipna=skipna)
Example #11
Source File: base.py From Splunking-Crime with GNU Affero General Public License v3.0 | 5 votes |
def max(self): """ The maximum value of the object """ return nanops.nanmax(self.values)
Example #12
Source File: test_nanops.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def test_nanmax(self): func = partial(self._minmax_wrap, func=np.max) self.check_funs(nanops.nanmax, func, allow_str=False, allow_obj=False)
Example #13
Source File: base.py From elasticintel with GNU General Public License v3.0 | 5 votes |
def max(self): """ The maximum value of the object """ return nanops.nanmax(self.values)
Example #14
Source File: test_nanops.py From twitter-stock-recommendation with MIT License | 5 votes |
def test_nanmax(self): with warnings.catch_warnings(record=True): func = partial(self._minmax_wrap, func=np.max) self.check_funs(nanops.nanmax, func, allow_str=False, allow_obj=False)