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 …
Tag: numpy
how to convert Exponential value into Int in Graph
When I am trying to create graph for above code It’s converting into the Exponential. How can I prevent That? Answer I do not know the size of your data set. But you can try this.
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…
How to convert nested numpy arrays in a dictionary to JSON?
I’m parsing nested dictionaries, which have different degrees of how nested they are (dictionaries within dictionaries within dictionaries, etc.) I do not know beforehand to what degree the dictionaries are nested. The problem is, certain dictionary values are numpy.ndarrays. When I try to write the dic…
mask and apply numpy where function to a vector in c++
I’m using C++ and want to combine the masking of a vector and the search for the indexes where a condition is verified, similarly to the numpy where function. Here’s an example: After using masked should look like this: masked = {62, 62, 70, 65} Afterwards, I want to find the indexes where id vect…
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…
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…