This might seem an odd question, but it boils down to quite a simple operation that I can’t find a numpy equivalent for. I’ve looked at np.where as well as many other operations but can’t find anything that does this: The output is a 2-D array (3,4), of booleans comparing each value. Answer If you’re asking how to get c
Tag: numpy
Multiply xarray variables with a numpy array
I have an xarray.DataArray: and I want ro multiply each mode with an element of the array array([68.8005905 , 17.8959575 , 8.46729004]). Any idea how to do that? Answer This is exactly what xarray is intended to help with you’re on the right track! Unlike numpy, which relies on dimension order and positional indices to align arrays, xarray relies on
Reading Matrix from file
I have a txt file consisting some numbers with space and I want to make it as three 4*4 matrixes in python. Each matrix is also divided with two symbols in the text file. The format of the txt file is like this: My code is now like this but it is not showing the output I want. Can you
Difference between cupy.asnumpy() and get()
Given a CuPy array a, there are two ways to get a numpy array from it: a.get() and cupy.asnumpy(a). Is there any practical difference between them? Answer cp.asnumpy is a wrapper calling ndarray.get. You can see that in the code of cp.asnumpy: As you can see (both in the documentation and in the code), cp.asnumpy supports more input types than
Initializing a class with numpy array question
So I have defined the following function to be entered into a class: Which works exactly how I want it to, taking in a numpy array as argument, and produces a simpler matrix as a numpy array. Now, I would like to define a class that is initialized by a numpy array, and once I enter a matrix into the
proper input and output shape of a keras Sequential model
I am trying to run a Keras sequential model but can’t get the right shape for the model to train on. I reshaped x and y to: Currently, both the input shape and output shape are: The dataset consists of 9766 inputs and 9766 outputs respectively. Each input is a single array of 500 values and each output is also
How to assign conditional value if I want to use pct_change method on some negative values?
I have a dataframe which contains some negative and positive values I’ve used following code to get pct_change on row values df_gp1 = df_gp1.pct_change(periods=4, axis=1) * 100 and here I want to assign some specific number, depending on how the values change from negative to positive or vice versa for example, if the value turns from positive to negative, return
When to use xarray over numpy for medium rank multidimensional data?
I have some multidimensional data and was wondering if i should use xarray when speed is one, albeit not highest, of my concerns. I have a 4D array so it’s not so big as to preclude me from using numpy. The coordinates/indices are vital for one dimension but not so for all the others. I’ll have to do slight book-keeping
Merge inside the merge only if the first doesn’t return a match
I have 3 dataframes (df1, df2 & df3), the main one (df1) and two additional ones which contain 1 column amongst others that I want to bring over to the main dataframe. Sample dfs: df1 df2 and df3 I am using the following code: Then for the two empty strings for the “Objective” column I want to continue with a
Comparing Two dataframes of pandas on the basis of condition of two columns
I have two dataframe in which columns are different, And I need to search and the map the data in new file. I am sharing the dataframes and also desired output DF1 DF2 Now I need to a output from above two dataframes. Conditions Need to search Ref.Y in STR2, if available then pick the “Type” for output. if Ref.Y