Built-in Functions

Published May 25, 2022
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NumPy has many built-in functions for mathematical operations and array manipulation. Selected ones are listed below.

Built-in Functions

.amax()
Returns the maximum of a given array or maximum along an axis.
.amin()
Returns the minimum of an array or minimum along an axis.
.append()
Appends values to the end of an array.
.det()
Computes the determinant of a square matrix.
.dot()
Computes the dot product of two arrays.
.linspace()
Returns an array of evenly-spaced numbers over a given interval.
.log()
Returns an element-wise natural logarithm for an array.
.median()
Returns the median of the elements in a given array.
.norm()
Computes the norm of a matrix, either across the entire array or along a specified axis.
.percentile()
Calculates the Xth percentile of the given data.
.reshape()
Rearranges the data of an ndarray into a new shape.
.sum()
Sums the elements of an array over a given axis.
.svd()
Performs the Singular Value Decomposition (SVD) on a matrix, breaking it down into singular vectors and singular values.
.transpose()
Reverses or permutes the axes of an ndarray.
.var()
Computes the variance of the array elements.

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