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Tag: numpy

Python object array of empty arrays

I am attempting to create a numpy array of empty arrays without using loops. Using loops, I can use a simplified operation like Or a marginally more sophisticated approach based on np.nditer: I can’t seem to find an indexing expression that will allow me to make this assignment in a vectorized manner. I’ve tried the following: Even np.nditer does not

Numpy multiple min indices 3d array [closed]

Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 1 year ago. Improve this question I have a numpy array of shape (9, 200, 200). I would like to get a list of the indices of the minimum value for

Excel like vlookup using python pandas with some conditions

I need to perform vlookup on dataframe using python/pandas like in Excel with some conditions. Condition:- I need to create a one new column (DFM) in my 2nd DataFrame using Excel like vlookup. If DFM value is na then print 100% in 2nd Dataframe’s DFM. Like in below result data. In result data DFM column I need to apply vlookup

Dataframe: shifting values over columns

I have a dataframe with some NaN values in my s_x columns. If NaN values exist in them, I want them to be in the last columns. Example: Given values in the s_x columns of [Nan, 1, Nan, 2] I want the values to shift left over the columns to result in [1, 2, NaN, NaN] Example 2: My current

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