  C RUBY-ON-RAILS MYSQL ASP.NET DEVELOPMENT RUBY .NET LINUX SQL-SERVER REGEX WINDOWS ALGORITHM ECLIPSE VISUAL-STUDIO STRING SVN PERFORMANCE APACHE-FLEX UNIT-TESTING SECURITY LINQ UNIX MATH EMAIL OOP LANGUAGE-AGNOSTIC VB6 MSBUILD # Removing list comps from numpy code  » python » Removing list comps from numpy code

By : harish
Date : November 21 2020, 04:03 PM
To fix the issue you can do You should checkout numpy's apply_along_axis method: http://docs.scipy.org/doc/numpy/reference/generated/numpy.apply_along_axis.html code :
``````>>> def my_func(a):
...     """Average first and last element of a 1-D array"""
...     return (a + a[-1]) * 0.5
>>> b = np.array([[1,2,3], [4,5,6], [7,8,9]])
>>> np.apply_along_axis(my_func, 0, b)
array([ 4.,  5.,  6.])
>>> np.apply_along_axis(my_func, 1, b)
array([ 2.,  5.,  8.])
`````` ## Removing duplicates from a list of numPy arrays

By : clairecai
Date : March 29 2020, 07:55 AM
it fixes the issue Using the solutions here: Most efficient property to hash for numpy array we see that hashing works best with a.tostring() if a is an numpy array. So:
code :
``````import numpy as np
arraylist = [np.array([1,2,3,4]), np.array([1,2,3,4]), np.array([1,3,2,4])]
L = {array.tostring(): array for array in arraylist}
L.values() # [array([1, 3, 2, 4]), array([1, 2, 3, 4])]
`````` ## Even / Odd list comps two ways

By : Melike Keskin
Date : March 29 2020, 07:55 AM
hope this fix your issue I'm trying to make the same list two different ways (just for practice)
code :
``````def even_odd(L):
return ['even' if x % 2 == 0 else 'odd' for x in L]
``````
``````def even_odd2(L):
return list(map(lambda x: 'even' if x % 2 == 0 else 'odd', L))
``````
``````print(even_odd([6, 4, 1, 3, 8, 5]))
print(even_odd2([6, 4, 1, 3, 8, 5]))
``````
``````['even', 'even', 'odd', 'odd', 'even', 'odd']
['even', 'even', 'odd', 'odd', 'even', 'odd']
`````` ## Removing a Numpy object from Python list

By : Abdul Haleem
Date : March 29 2020, 07:55 AM
should help you out Python remove function is optimized to first check for identity check and then check for equality. So for alist.remove(item) first item is alist is checked (identity check, looking for memory location) and then checking item == alist (equality check, looking at the actual value(s))
For numpy arrays however, equality is overridden by numpy to return a per item check. (A vectorized check. np.array([1, 2]) == np.array([2, 2]) returns np.array([False, True]).) This cannot be processed by the remove function, because it expects just a single boolean.
code :
``````ind = min(range(len(centers)), key=lambda ind: sum(centers[ind]))
``````
``````summed_centers = centers.sum(axis=1)
`````` ## Laravel - React component Does not like importing comps in other comps

By : user1914330
Date : March 29 2020, 07:55 AM
I think the issue was by ths following , Looks like my error was having styled components within. If anyone has this issue I fixed it by downlaoding babel-plugin-styled-components then adding "babel-plugin-styled-components", { "displayName": false } to my babel.rc file Salman for helping out ## Removing list in list by criteria with numpy

By : user2600684
Date : March 29 2020, 07:55 AM
around this issue Modifying a list you are iterating on is a bad idea.
Instead of removing arrays that do not satisfy your condition, simply return a list whose arrays satisfy your condition:
code :
``````def  toss_non_G2(potential_list):
return [l for l in potential_list if all(x in [0,1] for x in l)]
`````` 