Creating Array using linspace()
If you want linearly and evenly spaced values in the specified interval between two values then we use linspace.
Syntax:
numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0).
Return 1-D array evenly having spaced numbers over a specified interval. Values are equally spaced.
By default 50 is the maximum value we are going to get.
Here’s a breakdown of its parameters:
- start: The starting value of the sequence.
- stop: The end value of the sequence.
- num: (Optional) The number of evenly spaced samples to generate. Default is 50.
- endpoint: (Optional) If True (default), stop is the last sample. If False, it is not included.
- retstep: (Optional) If True, return (samples, step), where step is the spacing between samples.
- dtype: (Optional) The type of the output array.
- axis: (Optional) The axis in the result along which the samples are stored. Default is 0.
Example-
In the above example, 0 and 1 get divided into 2 parts and give the output. It always includes start and end values.
In this example, np.linspace(0,1) generates an array of by default 50 numbers starting at 0 and ending at including 1
Note- np.linspace() produces a one-dimensional array.
However, you can reshape the resulting array to create higher-dimensional arrays if needed. As given below-
Uses:
The function is often used in scientific computing, data analysis, and engineering to generate a sequence of numbers for plotting, simulations, and other numerical tasks.
That’s it for now, let’s deep dive into NumPy in my upcoming blogs.
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Pandas Learnings from github:
Check some of my other blogs in this series:
