Recursive definitions in Pandas
I have a time-series A holding several values. I need to obtain a series B that is defined algebraically as follows:
numpy
Take multiple lists into dataframe
How do I take multiple lists and put them as different columns in a python dataframe? I tried this solution but had some trouble.
Sorting a 2D numpy array by multiple axes
I have a 2D numpy array of shape (N,2) which is holding N points (x and y coordinates). For example:
Select multiple ranges of columns in Pandas DataFrame
I have to read several files some in Excel format and some in CSV format. Some of the files have hundreds of columns.
Resampling a numpy array representing an image
I am looking for how to resample a numpy array representing image data at a new size, preferably having a choice of the interpolation method (nearest, bilinear, etc.). I know there is
NumPy: function for simultaneous max() and min()
numpy.amax() will find the max value in an array, and numpy.amin() does the same for the min value. If I want to find both max and min, I have to call both functions, which requires passing over the (very big) array twice, which seems slow.
How do I stack vectors of different lengths in NumPy?
How do I stack column-wise n vectors of shape (x,) where x could be any number?
numpy.where() detailed, step-by-step explanation / examples
I have trouble properly understanding numpy.where() despite reading the doc, this post and this other post. Can someone provide step-by-step commented examples with 1D and 2D arrays? Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the answers may not help you solve the issue immediately. So please treat them … Read more
How to create a density plot in matplotlib?
In R I can create the desired output by doing:
Comparing numpy arrays containing NaN
For my unittest, I want to check if two arrays are identical. Reduced example: