What is the numpy.nancumprod() function in NumPy?
Overview
The numpy.nancumprod() function in NumPy is used to return the cumulative product of each element of an input array over a given axis in such a way that NaN values are treated as 1.
Syntax
numpy.nancumprod(a, axis=None, dtype=None, out=None)
Parameter
The numpy.nancumprod() function takes the following parameter values:
a(required): This is the input array containing numbers to be computed.axis(optional): This is the axis along which the product is determined.dtype(optional): This is the data type of the output array.out(optional): This is the alternate array where the result is placed.
Return value
The numpy.nancumprod() function returns an output array holding the result.
Example
import numpy as np# creating an arrayx = np.array([1, 2, np.nan, 2, np.nan])# Implementing the nancumprod() functionmyarray = np.nancumprod(x, axis=0)print(x)print(myarray)
Explanation
- Line 1: We import the
numpymodule. - Line 4: We create an array,
x, using thearray()method. - Line 7: We implement the
np.nancumprod()function on the array. The result is assigned to a variable,myarray. - Line 9: We print the input array
x. - Line 10: We print the variable
myarray.
Note: It is worth remembering that
NaNvalues are treated as1.
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