Python matplotlib.pyplot.axhspan() Examples

The following are 6 code examples of matplotlib.pyplot.axhspan(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.pyplot , or try the search function .
Example #1
Source File: test_axes.py    From neural-network-animation with MIT License 6 votes vote down vote up 
def test_axhspan_epoch():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    # generate some data
    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))

    dt = units.Duration("ET", units.day.convert("sec"))

    fig = plt.figure()

    plt.axhspan(t0, tf, facecolor="blue", alpha=0.25)

    ax = plt.gca()
    ax.set_ylim(t0 - 5.0*dt, tf + 5.0*dt)
Example #2
Source File: test_axes.py    From python3_ios with BSD 3-Clause "New" or "Revised" License 6 votes vote down vote up 
def test_axhspan_epoch():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    # generate some data
    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))

    dt = units.Duration("ET", units.day.convert("sec"))

    fig = plt.figure()

    plt.axhspan(t0, tf, facecolor="blue", alpha=0.25)

    ax = plt.gca()
    ax.set_ylim(t0 - 5.0*dt, tf + 5.0*dt)
Example #3
Source File: test_axes.py    From ImageFusion with MIT License 6 votes vote down vote up 
def test_axhspan_epoch():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    # generate some data
    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))

    dt = units.Duration("ET", units.day.convert("sec"))

    fig = plt.figure()

    plt.axhspan(t0, tf, facecolor="blue", alpha=0.25)

    ax = plt.gca()
    ax.set_ylim(t0 - 5.0*dt, tf + 5.0*dt)
Example #4
Source File: test_axes.py    From coffeegrindsize with MIT License 6 votes vote down vote up 
def test_axhspan_epoch():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    # generate some data
    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))

    dt = units.Duration("ET", units.day.convert("sec"))

    fig = plt.figure()

    plt.axhspan(t0, tf, facecolor="blue", alpha=0.25)

    ax = plt.gca()
    ax.set_ylim(t0 - 5.0*dt, tf + 5.0*dt)
Example #5
Source File: test_axes.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up 
def test_axhspan_epoch():
    from datetime import datetime
    import matplotlib.testing.jpl_units as units
    units.register()

    # generate some data
    t0 = units.Epoch("ET", dt=datetime(2009, 1, 20))
    tf = units.Epoch("ET", dt=datetime(2009, 1, 21))

    dt = units.Duration("ET", units.day.convert("sec"))

    fig = plt.figure()

    plt.axhspan(t0, tf, facecolor="blue", alpha=0.25)

    ax = plt.gca()
    ax.set_ylim(t0 - 5.0*dt, tf + 5.0*dt)
Example #6
Source File: _tqdm_gui.py    From Tautulli with GNU General Public License v3.0 4 votes vote down vote up 
def __init__(self, *args, **kwargs):
        import matplotlib as mpl
        import matplotlib.pyplot as plt
        from collections import deque
        kwargs['gui'] = True

        super(tqdm_gui, self).__init__(*args, **kwargs)

        # Initialize the GUI display
        if self.disable or not kwargs['gui']:
            return

        warn('GUI is experimental/alpha', TqdmExperimentalWarning)
        self.mpl = mpl
        self.plt = plt
        self.sp = None

        # Remember if external environment uses toolbars
        self.toolbar = self.mpl.rcParams['toolbar']
        self.mpl.rcParams['toolbar'] = 'None'

        self.mininterval = max(self.mininterval, 0.5)
        self.fig, ax = plt.subplots(figsize=(9, 2.2))
        # self.fig.subplots_adjust(bottom=0.2)
        if self.total:
            self.xdata = []
            self.ydata = []
            self.zdata = []
        else:
            self.xdata = deque([])
            self.ydata = deque([])
            self.zdata = deque([])
        self.line1, = ax.plot(self.xdata, self.ydata, color='b')
        self.line2, = ax.plot(self.xdata, self.zdata, color='k')
        ax.set_ylim(0, 0.001)
        if self.total:
            ax.set_xlim(0, 100)
            ax.set_xlabel('percent')
            self.fig.legend((self.line1, self.line2), ('cur', 'est'),
                            loc='center right')
            # progressbar
            self.hspan = plt.axhspan(0, 0.001,
                                     xmin=0, xmax=0, color='g')
        else:
            # ax.set_xlim(-60, 0)
            ax.set_xlim(0, 60)
            ax.invert_xaxis()
            ax.set_xlabel('seconds')
            ax.legend(('cur', 'est'), loc='lower left')
        ax.grid()
        # ax.set_xlabel('seconds')
        ax.set_ylabel((self.unit if self.unit else 'it') + '/s')
        if self.unit_scale:
            plt.ticklabel_format(style='sci', axis='y',
                                 scilimits=(0, 0))
            ax.yaxis.get_offset_text().set_x(-0.15)

        # Remember if external environment is interactive
        self.wasion = plt.isinteractive()
        plt.ion()
        self.ax = ax