python-scipyHow do I create a numpy array of zeros using Python?
Creating a numpy array of zeros using Python is very easy. The numpy.zeros()
function can be used to create an array of zeros with a given shape. The syntax for this function is numpy.zeros(shape, dtype=float, order='C')
. The shape
parameter is a tuple that specifies the dimensions of the array. The dtype
parameter is optional and can be used to specify the data type of the array. The order
parameter can be used to specify whether the array should be stored in row-major (C-style) or column-major (Fortran-style) order.
Example code
import numpy as np
# Create an array of zeros with shape (2,3)
a = np.zeros((2,3))
print(a)
Output example
[[0. 0. 0.]
[0. 0. 0.]]
Code explanation
import numpy as np
: This imports thenumpy
module and assigns it the aliasnp
.np.zeros((2,3))
: This creates an array of zeros with shape (2,3).print(a)
: This prints the array to the screen.
Helpful links
More of Python Scipy
- How do I use the trapz function in Python SciPy?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How do I convert a Python numpy array to a list?
- How do I use the scipy ttest_ind function in Python?
- How do I calculate the mode using Python Scipy Stats?
- How can I use Python Scipy to generate random numbers?
- How do I convert a Python numpy.ndarray to a list?
- How can I use Python and SciPy to generate a uniform distribution?
- How can I use the Radial Basis Function (RBF) in Python with SciPy?
See more codes...