How to look for numbers that is between a range?
c = array[2,3,4,5,6]
>>> c>3
>>> array([False, False, True, True, True]
However, when I give c in between two numbers, it return error
>>> 2<c<5
>>> ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
The desire output is
array([False, True, True, False, False]
Method 1: We generally use the == operator to compare two NumPy arrays to generate a new array object. Call ndarray. all() with the new array object as ndarray to return True if the two NumPy arrays are equivalent.
With the help of Numpy numpy. resize(), we can resize the size of an array. Array can be of any shape but to resize it we just need the size i.e (2, 2), (2, 3) and many more. During resizing numpy append zeros if values at a particular place is missing.
In general numpy arrays can have more than one dimension. One way to create such array is to start with a 1-dimensional array and use the numpy reshape() function that rearranges elements of that array into a new shape.
Try this,
(c > 2) & (c < 5)
Result
array([False, True, True, False, False], dtype=bool)
Python evaluates 2<c<5
as (2<c) and (c<5)
which would be valid, except the and
keyword doesn't work as we would want with numpy arrays. (It attempts to cast each array to a single boolean, and that behavior can't be overridden, as discussed here.) So for a vectorized and
operation with numpy arrays you need to do this:
(2<c) & (c<5)
You can do something like this :
import numpy as np
c = np.array([2,3,4,5,6])
output = [(i and j) for i, j in zip(c>2, c<5)]
Output :
[False, True, True, False, False]
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