numpy.all¶

numpy.all(a,axis=None,out=None,keepdims=<class numpy._globals._NoValue>)[source]¶

Test whether all array elements along a given axis evaluate to True.

Parameters:

a : array_like Input array or object that can be converted to an array. axis : None or int or tuple of ints, optional Axis or axes along which a logical AND reduction is performed.The default (axis =None) is to perform a logical AND over allthe dimensions of the input array.axis may be negative, inwhich case it counts from the last to the first axis. New in version 1.7.0. If this is a tuple of ints, a reduction is performed on multipleaxes, instead of a single axis or all the axes as before. out : ndarray, optional Alternate output array in which to place the result.It must have the same shape as the expected output and itstype is preserved (e.g., ifdtype(out) is float, the resultwill consist of 0.0’s and 1.0’s). Seedoc.ufuncs (Section“Output arguments”) for more details. keepdims : bool, optional If this is set to True, the axes which are reduced are leftin the result as dimensions with size one. With this option,the result will broadcast correctly against the input array. If the default value is passed, thenkeepdims will not bepassed through to theall method of sub-classes ofndarray, however any non-default value will be. If thesub-classessum method does not implementkeepdims anyexceptions will be raised.

Returns:

all : ndarray, bool A new boolean or array is returned unlessout is specified,in which case a reference toout is returned.

See also

ndarray.all

equivalent method

any

Test whether any element along a given axis evaluates to True.

Notes

Not a Number (NaN), positive infinity and negative infinityevaluate toTrue because these are not equal to zero.

Examples

>>>np.all([[True,False],[True,True]])False

>>>np.all([[True,False],[True,True]],axis=0)array([ True, False], dtype=bool)

>>>np.all([-1,4,5])True

>>>np.all([1.0,np.nan])True

>>>o=np.array([False])>>>z=np.all([-1,4,5],out=o)>>>id(z),id(o),z(28293632, 28293632, array([ True], dtype=bool))