numpy
Increment Numpy array with repeated indices
I have a Numpy array and a list of indices whose values I would like to increment by one. This list may contain repeated indices, and I would like the increment to scale with the number of repeats of each index. Without repeats, the command is simple:
Vectorized NumPy linspace for multiple start and stop values
I need to create a 2D array where each row may start and end with a different number. Assume that first and last element of each row is given and all other elements are just interpolated according to length of the rows In a simple case let’s say I want to create a 3X3 array with same start at 0 but different end given by W below:
How can I use numpy.correlate to do autocorrelation?
I need to do auto-correlation of a set of numbers, which as I understand it is just the correlation of the set with itself.
extracting days from a numpy.timedelta64 value
I am using pandas/python and I have two date time series s1 and s2, that have been generated using the ‘to_datetime’ function on a field of the df containing dates/times.
LogisticRegression: Unknown label type: ‘continuous’ using sklearn in python
I have the following code to test some of most popular ML algorithms of sklearn python library:
Python memory usage of numpy arrays
I’m using python to analyse some large files and I’m running into memory issues, so I’ve been using sys.getsizeof() to try and keep track of the usage, but it’s behaviour with numpy arrays is bizarre. Here’s an example involving a map of albedos that I’m having to open:
Convert numpy type to python
I have a list of dicts in the following form that I generate from pandas. I want to convert it to a json format.
How to share numpy random state of a parent process with child processes?
I set numpy random seed at the beginning of my program. During the program execution I run a function multiple times using multiprocessing.Process. The function uses numpy random functions to draw random numbers. The problem is that Process gets a copy of the current environment. Therefore, each process is running independently and they all start with the same random seed as the parent environment.
How to increase Jupyter notebook Memory limit?
I am using jupyter notebook with Python3 on windows 10. My computer has 8GB RAM and at least 4GB of my RAM is free.