| 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 |
| # 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 |
| {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', |
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.
Translations: (No guarantee that the translations are up-to-date)
| # 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""" |
| # -*- 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): |