Start to work on animations and use tight_layout()
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Examples.ipynb
854
Examples.ipynb
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@ -14,6 +14,7 @@ try:
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os.environ["DISPLAY"]
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except KeyError:
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mpl.use("agg")
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import matplotlib.animation as animation
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import matplotlib.pyplot as plt
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import numpy as np
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import palettable
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@ -113,6 +114,9 @@ class Figure():
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# Working attributes
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self.figure = None
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self.axes = None
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self.animation = {"type": False,
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"args": (), "kwargs": {},
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"persist": []}
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def __enter__(self):
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return self
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@ -143,15 +147,21 @@ class Figure():
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if len(args) == 0 and self.savepath is not None:
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args = (self.savepath,)
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figure = self.render()
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figure.savefig(*args, **kwargs)
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self.render()
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if self.figure is not None:
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self.figure.savefig(*args, **kwargs)
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else:
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raise exc.InvalidFigure("Invalid figure.")
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def show(self):
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"""
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Render and show the :class:`Figure` object.
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"""
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figure = self.render()
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figure.show()
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self.render()
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if self.figure is not None:
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self.figure.show()
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else:
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raise exc.InvalidFigure("Invalid figure.")
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def set_grid(self, grid_description=None,
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height=None, width=None, ignore_groups=False,
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@ -306,6 +316,10 @@ class Figure():
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the axes labels as well.
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- ``rotate`` (angle in degrees) rotate the plot by the angle in \
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degrees. Leave the labels untouched.
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- ``frame`` to specify a frame on which the plot should appear \
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when calling ``animate`` afterwards. Default behavior is \
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to increase the frame number between each plots. Frame \
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count starts at 0.
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.. note:: Note that this API call considers list of tuples as \
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list of (x, y) coordinates to plot, contrary to standard \
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@ -376,9 +390,10 @@ class Figure():
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# Add the plot to the correct group
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if "group" in custom_kwargs:
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self.plots[custom_kwargs["group"]].append(plot_)
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group_ = custom_kwargs["group"]
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else:
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self.plots[_DEFAULT_GROUP].append(plot_)
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group_ = _DEFAULT_GROUP
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self.plots[group_].append(plot_)
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# Automatically set the legend if label is found
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# (only do it if legend is not explicitly suppressed)
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@ -407,6 +422,20 @@ class Figure():
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kwargs["logscale"] = "loglog"
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self.plot(*args, **kwargs)
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def animate(self, *args, **kwargs):
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"""
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Create an animation.
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You can either:
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- pass it a function TODO
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- use it directly without arguments to create an animation from \
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the previously plot commands.
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"""
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# TODO
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self.animation["type"] = "gif"
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self.animation["args"] = args
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self.animation["kwargs"] = kwargs
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def _legend(self, axis, overload_legend=None):
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"""
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Helper function to handle ``legend`` attribute. It places the legend \
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@ -454,11 +483,18 @@ class Figure():
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figure, axis = plt.subplots()
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# Set the palette for the subplot
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axis.set_prop_cycle(
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self._build_cycler_palette(sum([len(i) for i in self.plots])))
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self._build_cycler_palette(sum([len(i)
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for i in self.plots.values()]))
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)
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# Set the axis for every subplot
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for subplot in self.plots:
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axes[subplot] = axis
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return figure, axes
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# Set attributes
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self.figure = figure
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self.axes = axes
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# Return
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return
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elif self.grid is None:
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# If no grid is provided, create an auto grid for the figure.
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self._set_auto_grid()
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@ -590,6 +626,57 @@ class Figure():
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if self.figure is None or self.axes is None:
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# Create figure if necessary
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self._grid()
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if self.animation["type"] is False:
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self._render_no_animation()
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elif self.animation["type"] == "gif":
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self._render_gif_animation()
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elif self.animation["type"] == "animation":
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# TODO
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return None
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else:
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return None
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self.figure.tight_layout(pad=1)
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def _render_gif_animation(self):
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"""
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Handle the render of a GIF-like animation, cycling through the plots.
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:returns: A :mod:`matplotlib` figure.
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"""
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# Init
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# TODO
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self.axes[_DEFAULT_GROUP].set_xlim((-2, 2))
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self.axes[_DEFAULT_GROUP].set_ylim((-2, 2))
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line, = self.axes[_DEFAULT_GROUP].plot([], [])
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# Define an animation function (closure)
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def animate(i):
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# TODO
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x = np.linspace(0, 2, 1000)
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y = np.sin(2 * np.pi * (x - 0.01 * i))
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line.set_data(x, y)
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return line,
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# Set default kwargs
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default_args = (self.figure, animate)
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default_kwargs = {
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"frames": 200,
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"interval": 20,
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"blit": True,
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}
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# Update with overloaded arguments
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default_args = default_args + self.animation["args"]
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default_kwargs.update(self.animation["kwargs"])
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# Keep track of animation object, as it has to persist
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self.animation["persist"] = [
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animation.FuncAnimation(*default_args, **default_kwargs)]
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return self.figure
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def _render_no_animation(self):
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"""
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Handle the render of the figure when no animation is used.
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:returns: A :mod:`matplotlib` figure.
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"""
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# Add plots
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for group_ in self.plots:
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# Get the axis corresponding to current group
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@ -829,6 +916,12 @@ def _handle_custom_plot_arguments(kwargs):
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# Convert angle to radians
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custom_kwargs["rotate"] = kwargs["rotate"] * np.pi / 180
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del kwargs["rotate"]
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# Handle "frame" argument
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if "frame" in kwargs:
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custom_kwargs["frame"] = kwargs["frame"]
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del kwargs["frame"]
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else:
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custom_kwargs["frame"] = 0
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return (kwargs, custom_kwargs)
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@ -15,3 +15,10 @@ class InvalidParameterError(BaseException):
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Exception raised when an invalid parameter is provided.
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"""
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pass
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class InvalidFigure(BaseException):
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"""
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Exception raised when a figure is invalid and cannot be shown.
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"""
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pass
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