Answer by eric for Numpy where function multiple conditions
To get np.where() working with multiple conditions, just do the following:np.where((condition 1) & (condition 2)) # for andnp.where((condition 1) | (condition 2)) # for orI know this repeats some...
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Answer by Amit Amola for Numpy where function multiple conditions
One interesting thing to point here; the usual way of using OR and AND too will work in this case, but with a small change. Instead of "and" and instead of "or", rather use Ampersand(&) and Pipe...
View ArticleAnswer by Xiong-Hui Chen for Numpy where function multiple conditions
Try:import numpy as npdist = np.array([1,2,3,4,5])r = 2dr = 3np.where(np.logical_and(dist> r, dist<=r+dr))# Output: (array([2, 3, 4]),)You can see Logic functions for more details.
View ArticleAnswer by Qhan for Numpy where function multiple conditions
This should work:dists[((dists >= r) & (dists <= r+dr))]
View ArticleAnswer by user4340135 for Numpy where function multiple conditions
I like to use np.vectorize for such tasks. Consider the following:>>> # function which returns True when constraints are satisfied.>>> func = lambda d: d >= r and d<= (r+dr)...
View ArticleAnswer by Mazdak for Numpy where function multiple conditions
The accepted answer explained the problem well enough. However, the more Numpythonic approach for applying multiple conditions is to use numpy logical functions. In this case, you can use...
View ArticleAnswer by Xin Wang for Numpy where function multiple conditions
Try:np.intersect1d(np.where(dists >= r)[0],np.where(dists <= r + dr)[0])
View ArticleAnswer by kiriloff for Numpy where function multiple conditions
I have worked out this simple example import numpy as npar = np.array([3,4,5,14,2,4,3,7])print [X for X in list(ar) if (X >= 3 and X <= 6)]>>> [3, 4, 5, 4, 3]
View ArticleAnswer by askewchan for Numpy where function multiple conditions
The best way in your particular case would just be to change your two criteria to one criterion:dists[abs(dists - r - dr/2.) <= dr/2.]It only creates one boolean array, and in my opinion is easier...
View ArticleNumpy where function multiple conditions
I have an array of distances called dists. I want to select dists which are within a range. dists[(np.where(dists >= r)) and (np.where(dists <= r + dr))]However, this selects only for the...
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