ericpre

"""
This module implements the Lowess function for nonparametric regression.
Functions:
lowess Fit a smooth nonparametric regression curve to a scatterplot.
For more information, see
William S. Cleveland: "Robust locally weighted regression and smoothing
scatterplots", Journal of the American Statistical Association, December 1979,
volume 74, number 368, pp. 829-836.
William S. Cleveland and Susan J. Devlin: "Locally weighted regression: An
approach to regression analysis by local fitting", Journal of the American

yong27

import multiprocessing
import pandas as pd
import numpy as np

def _apply_df(args):
    df, func, kwargs = args
    return df.apply(func, **kwargs)

def apply_by_multiprocessing(df, func, **kwargs):
    workers = kwargs.pop('workers')

javipus

__pycache__/*

Kukanani

import numpy as np
from sklearn import mixture

# make a GMM
gmm = mixture.GaussianMixture(n_components=n_components, covariance_type=cv_type)
# fit the GMM however you'd like

# save to file
gmm_name = 'new_gmm'
np.save(gmm_name + '_weights', gmm.weights_, allow_pickle=False)

atabakd

# https://mail.python.org/pipermail/scipy-user/2011-May/029521.html

import numpy as np

def KLdivergence(x, y):
  """Compute the Kullback-Leibler divergence between two multivariate samples.

  Parameters
  ----------
  x : 2D array (n,d)

EdwinChan

import concurrent.futures
import multiprocessing
import sys
import uuid

def globalize(func):
  def result(*args, **kwargs):
    return func(*args, **kwargs)
  result.__name__ = result.__qualname__ = uuid.uuid4().hex
  setattr(sys.modules[result.__module__], result.__name__, result)

azlen

/*
 * credit to Dhrumil Shah (@wandcrafting) and Robert Haisfield (@RobertHaisfield)
 * for the original concept which was part of their RoamGames submission
 * and can be found at: https://www.figma.com/file/5shwLdUCHxSaPNEO7pazbe/
 *
 */

/* ======= OPTIONS ======== */
/* note: if you change these, reload the page to see the effect */

jpswinski

/*
 *  File: geoparquet.cpp
 *
 *  Purpose: A minimal example to build a GeoParquet file using Apache Arrow.
 *
 *  Prerequisites: The Apache Arrow library is needed and can be installed as follows
 *      $ git clone https://github.com/apache/arrow.git
 *      $ cd arrow/cpp
 *      $ mkdir build
 *      $ cd build

tejaslodaya

import multiprocessing
import pandas as pd
import numpy as np

def _apply_df(args):
    df, func, num, kwargs = args
    return num, df.apply(func, **kwargs)

def apply_by_multiprocessing(df,func,**kwargs):
  workers=kwargs.pop('workers')

reywood

How to get a stack trace for each thread in a running python script

Sometimes a python script will simply hang forever with no indication of where things went wrong. Perhaps it's polling a service that will never return a value that allows the program to move forward. Here's a way to see where the program is currently stuck.

Install gdb and pyrasite

Install gdb.

# Redhat, CentOS, etc