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Accumulate the result of applying the operator to all elements in Numpy
To Accumulate the result of applying the operator to all elements, use the numpy.accumulate() method in Python Numpy. We have shown examples of add and multiple. The add.accumulate() is equivalent to np.cumsum().
The numpy.ufunc has functions that operate element by element on whole arrays. The ufuncs are written in C (for speed) and linked into Python with NumPy’s ufunc facility.
A universal function (or ufunc for short) is a function that operates on ndarrays in an element-byelement fashion, supporting array broadcasting, type casting, and several other standard features. That is, a ufunc is a “vectorized” wrapper for a function that takes a fixed number of specific inputs and produces a fixed number of specific outputs.
Steps
At first, import the required library −
import numpy as np
Create a 1d array −
arr = np.array([2, 3, 5])
Display the array −
print("Array...
", arr)Get the type of the array −
print("
Our Array type...
", arr.dtype)
Get the dimensions of the Array −
print("
Our Array Dimensions...
",arr.ndim)To Accumulate the result of applying the operator to all elements, use the numpy.accumulate() method in Python Numpy −
Add accumulate: The add.accumulate() is equivalent to np.cumsum() −
print("
Add accumulate...
",np.add.accumulate(arr))
Multiply accumulate −
print("
Multiply accumulate...
",np.multiply.accumulate(arr))Example
import numpy as np
import numpy.ma as ma
# The numpy.ufunc has functions that operate element by element on whole arrays.
# ufuncs are written in C (for speed) and linked into Python with NumPy’s ufunc facility
# Create a 1d array
arr = np.array([2, 3, 5])
# Display the array
print("Array...
", arr)
# Get the type of the array
print("
Our Array type...
", arr.dtype)
# Get the dimensions of the Array
print("
Our Array Dimensions...
",arr.ndim)
# To Accumulate the result of applying the operator to all elements, use the numpy.accumulate() method in Python Numpy
# Add accumulate
# The add.accumulate() is equivalent to np.cumsum().
print("
Add accumulate...
",np.add.accumulate(arr))Output
Array... [2 3 5] Our Array type... int64 Our Array Dimensions... 1 Add accumulate... [ 2 5 10]
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