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Tag: numpy

comparing numpy arrays with np.allclose()

I am new to Python. I cannot understand the behavior of the following code (I am trying to create a unit test for something): This code prints: Why when I print arrays their values are equal, but then I print their last items they are different? If the values are actually different, why is_equal2 is True? If …

Replace duplicate value with NaN using groupby

Dataset(MWE) I am trying to replace duplicates from columns {people_vaccinated,people_fully_vaccinated,people_vaccinated_per_hundred} with NaN while using groupby() on location. I tried some solution online, but couldn’t get them working for me, so instead used the below logic The above logic fails when…

python creating new list using a “template list”

Suppose i have: and: with the same shape now i want to “put x2 ontop of x1” and sum up all the numbers of x1 corresponding to the numbers of x2 so the end result is: this is a naive implementation using list to further clarify the question so my question: is there is a way to implement this in

Splitting a dataframe with many labels

I’m trying to split my data by different labels, like this: And this works fine for small amounts of numbers. However, I want to do this for many values. for example: This spits outs an error: ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). I&#8…

TypeError: img should be PIL Image. Got – PyTorch

I’m trying to prepare some image data for my neural to classify. As part of the image preprocessing step, I’m applying the HOG filter in my dataset class as such: After this, I define my train and validation transformation as such: and finally, I create the loaders as such: However, when I attempt…

Row-level cumulative sum with condition

I have a table that looks like this. m1 m2 m3 m4 m5 m6 m7 m8 s 0 1 0 0 5 0 4 10 4 4 1 8 0 15 0 4 10 10 I need to know at which position or column the row-level cumulative sum for the first six columns (m1 to m6) either equals or exceeds

PyTorch – AssertionError: Size mismatch between tensors

I am trying to adapt a Pytorch script that was created for linear regression. It was originally written to take in a set of random values(created with np.random) as features and targets. I have now created a dataframe of actual data for analysis: The df looks like this: …and I am currently extracting ju…