Generator Unqiue On Key Python

Posted : admin On 17.04.2020

Find the unique elements of an array.

Returns the sorted unique elements of an array. There are three optionaloutputs in addition to the unique elements:

Numpy.unique¶ numpy.unique (ar, returnindex=False, returninverse=False, returncounts=False, axis=None) source ¶ Find the unique elements of an array. Returns the sorted unique elements of an array. There are three optional outputs in addition to the unique elements: the indices of the input array that give the unique values. Apr 11, 2020  Python random.seed to initialize the pseudo-random number generator. Generate a same random number using seed.Use randrange, choice, sample and shuffle method with seed method. Seed value is very important to generate a strong secret encryption key. Apr 11, 2020  Generate a random string of fixed length. To generate a random string we need to use the following two Python modules. The string module contains various string constant which contains the ASCII characters of all cases. The string module contains separate constants for lowercase, uppercase letters, digits, and special characters.

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  • the indices of the input array that give the unique values
  • the indices of the unique array that reconstruct the input array
  • the number of times each unique value comes up in the input array
Generator Unqiue On Key Python
Parameters:
ar:array_like

Input array. Unless axis is specified, this will be flattened if itis not already 1-D.

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return_index:bool, optional

If True, also return the indices of ar (along the specified axis,if provided, or in the flattened array) that result in the unique array.

return_inverse:bool, optional

If True, also return the indices of the unique array (for the specifiedaxis, if provided) that can be used to reconstruct ar.

return_counts:bool, optional

If True, also return the number of times each unique item appearsin ar.

axis:int or None, optional

The axis to operate on. If None, ar will be flattened. If an integer,the subarrays indexed by the given axis will be flattened and treatedas the elements of a 1-D array with the dimension of the given axis,see the notes for more details. Object arrays or structured arraysthat contain objects are not supported if the axis kwarg is used. Thedefault is None.

New in version 1.13.0.

Returns:
unique:ndarray

The sorted unique values.

unique_indices:ndarray, optional

The indices of the first occurrences of the unique values in theoriginal array. Firebase replace auto generated db user id with unique key west. Only provided if return_index is True.

unique_inverse:ndarray, optional

The indices to reconstruct the original array from theunique array. Only provided if return_inverse is True.

unique_counts:ndarray, optional

The number of times each of the unique values comes up in theoriginal array. Only provided if return_counts is True.

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Generator

See also

numpy.lib.arraysetops
Module with a number of other functions for performing set operations on arrays.

Notes

When an axis is specified the subarrays indexed by the axis are sorted.This is done by making the specified axis the first dimension of the arrayand then flattening the subarrays in C order. The flattened subarrays arethen viewed as a structured type with each element given a label, with theeffect that we end up with a 1-D array of structured types that can betreated in the same way as any other 1-D array. The result is that theflattened subarrays are sorted in lexicographic order starting with thefirst element.

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Examples

Return the unique rows of a 2D array

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Return the indices of the original array that give the unique values:

Random Generator Python

Reconstruct the input array from the unique values: