dmeliza

# -*- coding: utf-8 -*-
# -*- mode: python -*-
# Adapted from mpl_toolkits.axes_grid1
# LICENSE: Python Software Foundation (http://docs.python.org/license.html)

from matplotlib.offsetbox import AnchoredOffsetbox
class AnchoredScaleBar(AnchoredOffsetbox):
    def __init__(self, transform, sizex=0, sizey=0, labelx=None, labely=None, loc=4,
                 pad=0.1, borderpad=0.1, sep=2, prop=None, barcolor="black", barwidth=None, 
                 **kwargs):

jakevdp

# By Jake VanderPlas
# License: BSD-style

import matplotlib.pyplot as plt
import numpy as np


def discrete_cmap(N, base_cmap=None):
    """Create an N-bin discrete colormap from the specified input map"""

lukas-h

Markdown License badges

Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.

Notes

• The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

• 🇫🇷 Cette liste en français

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

mwaskom

danijar

# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data


def doublewrap(function):
    """
    A decorator decorator, allowing to use the decorator to be used without

nils-werner

def sliding_window(data, size, stepsize=1, padded=False, axis=-1, copy=True):
    """
    Calculate a sliding window over a signal

    Parameters
    ----------
    data : numpy array
        The array to be slided over.
    size : int
        The sliding window size

DavidWells

Aligning images

This is a guide for aligning images.

See the full Advanced Markdown doc for more tips and tricks

left alignment

josephernest

# wavfile.py (Enhanced)
# Date: 20190213_2328 Joseph Ernest
#
# URL: https://gist.github.com/josephernest/3f22c5ed5dabf1815f16efa8fa53d476
# Source: scipy/io/wavfile.py
#
# Added:
# * read: also returns bitrate, cue markers + cue marker labels (sorted), loops, pitch
#         See https://web.archive.org/web/20141226210234/http://www.sonicspot.com/guide/wavefiles.html#labl
# * read: 24 bit & 32 bit IEEE files support (inspired from wavio_weckesser.py from Warren Weckesser)

jirilukavsky

import numpy as np
from scipy.optimize import curve_fit
import scipy as sy
import matplotlib.pyplot as plt

d = np.array([75, 80, 90, 95, 100, 105, 110, 115, 120, 125], dtype=float)
p1 = np.array([6, 13, 25, 29, 29, 29, 30, 29, 30, 30], dtype=float) / 30. # scale to 0..1

# psychometric function
def pf(x, alpha, beta):