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GeezerVison is showing github.com — PlotPy/plotpy/pyplot.py at master · PlotPyStack/PlotPy Expand file tree/ Copy pathpyplot.pyMore file actions 106 lines (87 loc) · 2.59 KB / Copy pathpyplot.pyFile metadata and controls106 lines (87 loc) · 2.59 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 # -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Interactive plotting widgets ============================ Overview -------- The `pyplot` module provides an interactive plotting interface similar to `Matplotlib`'s, i.e. with MATLAB-like syntax. The :py:mod:`.pyplot` module was designed to be as close as possible to the :py:mod:`matplotlib.pyplot` module, so that one could easily switch between these two modules by simply changing the import statement. Basically, if :mod:`plotpy` does support the plotting commands called in your script, replacing ``import matplotlib.pyplot`` by ``import plotpy.pyplot`` should be enough, as shown in the following example: * Simple example using `matplotlib`:: import matplotlib.pyplot as plt import numpy as np x = np.linspace(-10, 10) plt.plot(x, x**2, 'r+') plt.show() * Switching from `matplotlib` to :mod:`plotpy` is trivial:: import plotpy.pyplot as plt # only this line has changed! import numpy as np x = np.linspace(-10, 10) plt.plot(x, x**2, 'r+') plt.show() Examples -------- >>> import numpy as np >>> import plotpy.pyplot as plt >>> plt.ion() # switching to interactive mode >>> x = np.linspace(-5, 5, 1000) >>> plt.figure(1) >>> plt.subplot(2, 1, 1) >>> plt.plot(x, np.sin(x), "r+") >>> plt.plot(x, np.cos(x), "g-") >>> plt.errorbar(x, -1+x**2/20+.2*np.random.rand(len(x)), x/20) >>> plt.xlabel("Axe x") >>> plt.ylabel("Axe y") >>> plt.subplot(2, 1, 2) >>> img = np.fromfunction(lambda x, y: np.sin((x/200.)*(y/200.)**2), (1000, 1000)) >>> plt.xlabel("pixels") >>> plt.ylabel("pixels") >>> plt.zlabel("intensity") >>> plt.gray() >>> plt.imshow(img) >>> plt.figure("plotyy") >>> plt.plotyy(x, np.sin(x), x, np.cos(x)) >>> plt.ylabel("sine", "cosine") >>> plt.show() Reference --------- .. autofunction:: interactive .. autofunction:: ion .. autofunction:: ioff .. autofunction:: figure .. autofunction:: gcf .. autofunction:: gca .. autofunction:: show .. autofunction:: subplot .. autofunction:: close .. autofunction:: title .. autofunction:: xlabel .. autofunction:: ylabel .. autofunction:: zlabel .. autofunction:: yreverse .. autofunction:: grid .. autofunction:: legend .. autofunction:: colormap .. autofunction:: savefig .. autofunction:: plot .. autofunction:: plotyy .. autofunction:: semilogx .. autofunction:: semilogy .. autofunction:: loglog .. autofunction:: errorbar .. autofunction:: hist .. autofunction:: imshow .. autofunction:: pcolor """ # pylint: disable=unused-import # pylint: disable=wildcard-import # flake8: noqa from plotpy.plot.interactive import * |
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