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animate-arrays-0.0.1


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توضیحات

Module with functions to animate data stored in 2D+3D arrays
ویژگی مقدار
سیستم عامل -
نام فایل animate-arrays-0.0.1
نام animate-arrays
نسخه کتابخانه 0.0.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Ryan C. Cooper
ایمیل نویسنده ryan.c.cooper@uconn.edu
آدرس صفحه اصلی https://github.com/cooperrc/animate_arrays
آدرس اینترنتی https://pypi.org/project/animate-arrays/
مجوز Apache Software License 2.0
animate_arrays ================ <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! --> This module wraps some setup scripts and functions to make Matplotlib’s animations a little simpler to interface with. The starting point here becomes creating data with ## Install ``` sh pip install animate_arrays ``` ## How to use 2D arrays ### Import libraries The `animate_arrays` functions work in Jupyter notebooks. You’ll need to import some of the libraries to build some arrays, plots, and animations as such, ``` python import numpy as np import matplotlib.pyplot as plt from matplotlib import animation from IPython.display import HTML ``` I prefer to use the [fivethirtyeight](https://matplotlib.org/stable/gallery/style_sheets/fivethirtyeight.html) style sheet, but you can use any style. ``` python plt.style.use('fivethirtyeight') ``` Then, import the [`animate_lines`](https://cooperrc.github.io/animate_arrays/animate.html#animate_lines) function from the `animate_arrays.animate` module. ``` python from animate_arrays.animate import animate_lines ``` ### Build arrays and watch them move With the libraries imported, I build 2 arrays, `X` and `Y` where each column is $\times 3~(x,~y)$ coordinates that define two rotating arms. - Arm 1 rotates once around the origin - Arm 2 is connected to arm 1 and rotates twice ``` python a = np.linspace(0, 2*np.pi, 100) x1 = np.cos(a) y1 = np.sin(a) x2 = np.cos(2*a) y2 = np.sin(2*a) X = np.array([np.zeros(len(a)), x1, x1+x2]) Y = np.array([np.zeros(len(a)), y1, y1+y2]) ``` ``` python a = animate_lines(X, Y) HTML(a.to_html5_video()) ``` <video width="640" height="480" controls autoplay loop> <source type="video/mp4" src="data:video/mp4;base64,AAAAIGZ0eXBNNFYgAAACAE00ViBpc29taXNvMmF2YzEAAAAIZnJlZQABQ5htZGF0AAACrgYF//+q 3EXpvebZSLeWLNgg2SPu73gyNjQgLSBjb3JlIDE2NCByMzA5NSBiYWVlNDAwIC0gSC4yNjQvTVBF Ry00IEFWQyBjb2RlYyAtIENvcHlsZWZ0IDIwMDMtMjAyMiAtIGh0dHA6Ly93d3cudmlkZW9sYW4u b3JnL3gyNjQuaHRtbCAtIG9wdGlvbnM6IGNhYmFjPTEgcmVmPTMgZGVibG9jaz0xOjA6MCBhbmFs eXNlPTB4MzoweDExMyBtZT1oZXggc3VibWU9NyBwc3k9MSBwc3lfcmQ9MS4wMDowLjAwIG1peGVk X3JlZj0xIG1lX3JhbmdlPTE2IGNocm9tYV9tZT0xIHRyZWxsaXM9MSA4eDhkY3Q9MSBjcW09MCBk ZWFkem9uZT0yMSwxMSBmYXN0X3Bza2lwPTEgY2hyb21hX3FwX29mZnNldD0tMiB0aHJlYWRzPTEy IGxvb2thaGVhZF90aHJlYWRzPTIgc2xpY2VkX3RocmVhZHM9MCBucj0wIGRlY2ltYXRlPTEgaW50 ZXJsYWNlZD0wIGJsdXJheV9jb21wYXQ9MCBjb25zdHJhaW5lZF9pbnRyYT0wIGJmcmFtZXM9MyBi 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The `setup_fig_function` option allows you to define a custom plot setup. Here, I name it `fig_setup` ``` python def fig_setup(): fig, ax = plt.subplots() ax.plot(X[2, :], Y[2, :], '--') ax.axis('equal') return fig, ax ``` The `setup_fig_function` should not take any arguments. I used it to set up 2 new display additions, 1. plot the path of arm 2’s end so we can see where its been and where its going on the dashed line 2. equal axes with `ax.axis('equal')` Below, I try running the function and looking at the resulting static figure for the animation ``` python fig, ax = fig_setup() ``` ![](index_files/figure-commonmark/cell-8-output-1.png) ``` python a = animate_lines(X, Y, setup_fig_function= fig_setup) ``` ``` python HTML(a.to_html5_video()) ``` <video width="640" height="480" controls autoplay loop> <source type="video/mp4" src="data:video/mp4;base64,AAAAIGZ0eXBNNFYgAAACAE00ViBpc29taXNvMmF2YzEAAAAIZnJlZQABSjxtZGF0AAACrgYF//+q 3EXpvebZSLeWLNgg2SPu73gyNjQgLSBjb3JlIDE2NCByMzA5NSBiYWVlNDAwIC0gSC4yNjQvTVBF Ry00IEFWQyBjb2RlYyAtIENvcHlsZWZ0IDIwMDMtMjAyMiAtIGh0dHA6Ly93d3cudmlkZW9sYW4u b3JnL3gyNjQuaHRtbCAtIG9wdGlvbnM6IGNhYmFjPTEgcmVmPTMgZGVibG9jaz0xOjA6MCBhbmFs eXNlPTB4MzoweDExMyBtZT1oZXggc3VibWU9NyBwc3k9MSBwc3lfcmQ9MS4wMDowLjAwIG1peGVk 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The [`animate_lines`](https://cooperrc.github.io/animate_arrays/animate.html#animate_lines) function can also plot multiple lines in each frame. Here, we’ll add another set of rotating arms. ``` python a = np.linspace(0, 2*np.pi, 100) x1 = np.cos(a) y1 = np.sin(a) x2 = np.cos(2*a) y2 = np.sin(2*a) x3 = np.cos(2*a) y3 = np.sin(2*a) x4 = np.cos(3*a) y4 = np.sin(3*a) X = np.zeros((3, 2, len(a))) Y = np.zeros((3, 2, len(a))) X[:, 0, :] = np.array([np.zeros(len(a)), x1, x1+x2]) X[:, 1, :] = np.array([np.zeros(len(a)), x3, x3+x4]) Y[:, 0, :] = np.array([np.zeros(len(a)), y1, y1+y2]) Y[:, 1, :] = np.array([np.zeros(len(a)), y3, y3+y4]) ``` ``` python def fig_setup(): fig, ax = plt.subplots() ax.plot(X[2, 0, :], Y[2, 0, :], '--') ax.plot(X[2, 1, :], Y[2, 1, :], '--') ax.axis('equal') return fig, ax ``` ``` python fig_setup() ``` (<Figure size 640x480 with 1 Axes>, <AxesSubplot: >) ![](index_files/figure-commonmark/cell-13-output-2.png) ``` python a2 = animate_lines(X, Y, setup_fig_function=fig_setup) HTML(a2.to_html5_video()) ``` <video width="640" height="480" controls autoplay loop> <source type="video/mp4" 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نیازمندی

مقدار نام
- numpy
- matplotlib
- jupyter
- ffmpeg


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl animate-arrays-0.0.1:

    pip install animate-arrays-0.0.1.whl


نصب پکیج tar.gz animate-arrays-0.0.1:

    pip install animate-arrays-0.0.1.tar.gz