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- numpy.amax
...NumPy reference Routines and objects by topic Mathematical functions numpy.amax...
- numpy.amax (Python function, in numpy.amax)
- numpy.ma.amax (Python function, in numpy.ma.amax)
- NumPy 1.12.0 Release Notes
...the user explicitly passes in keepdims. The following functions are changed: sum, product, sometrue, alltrue, any, all, amax, amin, prod, mean, std, var, nanmin, nanmax, nansum, nanprod, nanmean, nanmedian, nanvar, nanstd bitwise_and iden...
- NumPy 1.3.0 Release Notes
...s now reliably propagate nans. If one of the arguments is a nan, then nan is returned. This affects np.min/np.max, amin/amax and the array methods max/min. New ufuncs fmax and fmin have been added to deal with non-propagating nans. Nan ha...
- numpy.amax
...NumPy reference Routines and objects by topic Mathematical functions numpy.amax...
- numpy.argmax
...the size of axis will be 1 with the resulting array having same shape as a.shape. See also ndarray.argmax, argmin amaxThe maximum value along a given axis. unravel_indexConvert a flat index into an index tuple. take_along_axisApply...
- numpy.argmin
...rue) >>> np.take_along_axis(x, np.expand_dims(index_array, axis=-1), axis=-1) array([[2], [0]]) >>> # Same as np.amax(x, axis=-1) >>> np.take_along_axis(x, np.expand_dims(index_array, axis=-1), ... axis=-1).squeeze(axis=-1) array...
- numpy.bincount
...he output array. Returns: outndarray of intsThe result of binning the input array. The length of out is equal to np.amax(x)+1. Raises: ValueErrorIf the input is not 1-dimensional, or contains elements with negative values, or if min...
- numpy.char.chararray.max
...s=None, out=None, keepdims=False, initial=<no value>, where=True) Return the maximum along a given axis. Refer to numpy.amax for full documentation. See also numpy.amaxequivalent function...
- numpy.fmax
...so fminElement-wise minimum of two arrays, ignores NaNs. maximumElement-wise maximum of two arrays, propagates NaNs. amaxThe maximum value of an array along a given axis, propagates NaNs. nanmaxThe maximum value of an array along a give...
- numpy.fmin
...y along a given axis, propagates NaNs. nanminThe minimum value of an array along a given axis, ignores NaNs. maximum, amax, nanmax Notes The fmin is equivalent to np.where(x1 <= x2, x1, x2) when neither x1 nor x2 are NaNs, but it is fas...
- numpy.ma.amax
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.amax...
- numpy.ma.masked_array.max
...sult as dimensions with size one. With this option, the result will broadcast correctly against the array. Returns: amaxarray_likeNew array holding the result. If out was specified, out is returned. See also ma.maximum_fill_valueR...
- numpy.ma.MaskedArray.max
...sult as dimensions with size one. With this option, the result will broadcast correctly against the array. Returns: amaxarray_likeNew array holding the result. If out was specified, out is returned. See also ma.maximum_fill_valueR...
- numpy.ma.max
...sult as dimensions with size one. With this option, the result will broadcast correctly against the array. Returns: amaxarray_likeNew array holding the result. If out was specified, out is returned. See also ma.maximum_fill_valueR...
- numpy.matrix.max
....matrix.max method matrix.max(axis=None, out=None)[source] Return the maximum value along an axis. Parameters: See `amax` for complete descriptions See also amax, ndarray.max Notes This is the same as ndarray.max, but returns a m...
- numpy.maximum
...so minimumElement-wise minimum of two arrays, propagates NaNs. fmaxElement-wise maximum of two arrays, ignores NaNs. amaxThe maximum value of an array along a given axis, propagates NaNs. nanmaxThe maximum value of an array along a give...
- numpy.memmap.max
...s=None, out=None, keepdims=False, initial=<no value>, where=True) Return the maximum along a given axis. Refer to numpy.amax for full documentation. See also numpy.amaxequivalent function...
- numpy.min
...ay of dimension a.ndim - 1. If axis is a tuple, the result is an array of dimension a.ndim - len(axis). See also amaxThe maximum value of an array along a given axis, propagating any NaNs. nanminThe minimum value of an array along a...
- numpy.minimum
...rray along a given axis, propagates NaNs. nanminThe minimum value of an array along a given axis, ignores NaNs. fmax, amax, nanmax Notes The minimum is equivalent to np.where(x1 <= x2, x1, x2) when neither x1 nor x2 are NaNs, but it is...
- numpy.nanmax
...same dtype as a is returned. See also nanminThe minimum value of an array along a given axis, ignoring any NaNs. amaxThe maximum value of an array along a given axis, propagating any NaNs. fmaxElement-wise maximum of two arrays, ign...
- numpy.nanmin
...y NaNs. isnanShows which elements are Not a Number (NaN). isfiniteShows which elements are neither NaN nor infinity. amax, fmax, maximum Notes NumPy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means...
- numpy.ndarray.max
...s=None, out=None, keepdims=False, initial=<no value>, where=True) Return the maximum along a given axis. Refer to numpy.amax for full documentation. See also numpy.amaxequivalent function...
- numpy.recarray.max
...s=None, out=None, keepdims=False, initial=<no value>, where=True) Return the maximum along a given axis. Refer to numpy.amax for full documentation. See also numpy.amaxequivalent function...