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I have two array one with shape (320,1) and one with (850,1) how should I combine the two array. I tried np.append however it seems to be an error.
Assuming the two arrays are called arr1 and arr2, you could try the following code:
arr3 = np.append(arr1,arr2).reshape((-1,1))
The reshape is needed to make sure the final shape is (1170,1) instead of (1170,)
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I’ve loaded a sample using the code:
Data = np.load(sample_1.npy)
I need to convert the data points from H/T (coin tosses) to 0/1 (binary array). Not sure what code would work for this? I’ve tried googling answers and they haven’t worked.
If it's an array with "H" and "T" as values, you could try that:
Data = np.array([0 if x == "H" else 1 for x in Data])
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I'm trying to get the element-wise mulitplication using normal *, and i tried np.multiply(), both give a weird answers.
now (1-y) is (100,) and np.log(1-sigmoid(np.dot(X,theta)))) is (100,1), so when i muliply them by element-wise, it should give (100,1); but it gives me (100,100) matrix(ALL are higlighted BLUE)
Here is my original function if it can help.
Can anyone help me with getting the source of erre here?
I'm not 100% sure why python does this, but the way to solve it would be to apply np.reshape((1-y),(100,1)) and then apply np.multiply(). In general it's always better to reshape your arrays and to give them a second dimension.
EDIT: This explains how numpy does the broadcasting when using an array of dimensions (n,) and (n,1).
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Given this dictionary:
my_dict={'animal':['Dog','Cat'],'age':[4,5],'bark':[True,False],'badge_num':['234','896']}
what code will cast 'age' to float?
you could use map combined with float like the following:
my_dict['age']=list(map(float, my_dict['age']))
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When I run
print(c)
I get the output
[45]
How do I remove the [ ] and get output like this as an integer?
45
Because I want to print this but It won't run.
print(b[c:c+50])
Take the first element of that array.
print(c[0])
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I'm recreating Conway's game of life in pygame, and I've been having an issue implementing the preset feature. When I'm assigning the preset array to the default array, and then assigning it back to the default array again, the preset is changed. I'm only editing the array "Initial_frame" but it is somehow changing the preset array.
Code:
https://paste.pythondiscord.com/uvetekikot.py
You are probably doing something like this:
a = [1 2 3 4 5]
b = a
a and b are really arrays, rather they are references to arrays. b=a means they both reference the same array.
You will need to copy the array instead of just copying the reference, like this:
b = a[:]