phyks
/
replot
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Start to work on animations and use tight_layout()

This commit is contained in:
Lucas Verney 2016-03-18 15:15:56 +01:00
parent 5e633743cf
commit e424b049ba
3 changed files with 971 additions and 65 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

854
Examples.ipynb
View File

File diff suppressed because one or more lines are too long

175
replot/__init__.py
View File

@ -14,6 +14,7 @@ try:
os.environ["DISPLAY"]
except KeyError:
mpl.use("agg")
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
import palettable
@ -113,6 +114,9 @@ class Figure():
# Working attributes
self.figure = None
self.axes = None
self.animation = {"type": False,
"args": (), "kwargs": {},
"persist": []}
def __enter__(self):
return self
@ -143,15 +147,21 @@ class Figure():
if len(args) == 0 and self.savepath is not None:
args = (self.savepath,)
figure = self.render()
figure.savefig(*args, **kwargs)
self.render()
if self.figure is not None:
self.figure.savefig(*args, **kwargs)
else:
raise exc.InvalidFigure("Invalid figure.")
def show(self):
"""
Render and show the :class:`Figure` object.
"""
figure = self.render()
figure.show()
self.render()
if self.figure is not None:
self.figure.show()
else:
raise exc.InvalidFigure("Invalid figure.")
def set_grid(self, grid_description=None,
height=None, width=None, ignore_groups=False,
@ -306,6 +316,10 @@ class Figure():
the axes labels as well.
- ``rotate`` (angle in degrees) rotate the plot by the angle in \
degrees. Leave the labels untouched.
- ``frame`` to specify a frame on which the plot should appear \
when calling ``animate`` afterwards. Default behavior is \
to increase the frame number between each plots. Frame \
count starts at 0.
.. note:: Note that this API call considers list of tuples as \
list of (x, y) coordinates to plot, contrary to standard \
@ -376,9 +390,10 @@ class Figure():
# Add the plot to the correct group
if "group" in custom_kwargs:
self.plots[custom_kwargs["group"]].append(plot_)
group_ = custom_kwargs["group"]
else:
self.plots[_DEFAULT_GROUP].append(plot_)
group_ = _DEFAULT_GROUP
self.plots[group_].append(plot_)
# Automatically set the legend if label is found
# (only do it if legend is not explicitly suppressed)
@ -407,6 +422,20 @@ class Figure():
kwargs["logscale"] = "loglog"
self.plot(*args, **kwargs)
def animate(self, *args, **kwargs):
"""
Create an animation.
You can either:
- pass it a function TODO
- use it directly without arguments to create an animation from \
the previously plot commands.
"""
# TODO
self.animation["type"] = "gif"
self.animation["args"] = args
self.animation["kwargs"] = kwargs
def _legend(self, axis, overload_legend=None):
"""
Helper function to handle ``legend`` attribute. It places the legend \
@ -454,11 +483,18 @@ class Figure():
figure, axis = plt.subplots()
# Set the palette for the subplot
axis.set_prop_cycle(
self._build_cycler_palette(sum([len(i) for i in self.plots])))
self._build_cycler_palette(sum([len(i)
for i in self.plots.values()]))
)
# Set the axis for every subplot
for subplot in self.plots:
axes[subplot] = axis
return figure, axes
# Set attributes
self.figure = figure
self.axes = axes
# Return
return
elif self.grid is None:
# If no grid is provided, create an auto grid for the figure.
self._set_auto_grid()
@ -590,39 +626,90 @@ class Figure():
if self.figure is None or self.axes is None:
# Create figure if necessary
self._grid()
# Add plots
for group_ in self.plots:
# Get the axis corresponding to current group
try:
axis = self.axes[group_]
except KeyError:
# If not found, plot in the default group
axis = self.axes[_DEFAULT_GROUP]
# Skip this plot if the axis is None
if axis is None:
continue
# Plot
for plot_ in self.plots[group_]:
tmp_plots = axis.plot(*(plot_[0]), **(plot_[1]))
# Handle custom kwargs at plotting time
if "logscale" in plot_[2]:
if plot_[2]["logscale"] == "log":
axis.set_xscale("log")
elif plot_[2]["logscale"] == "loglog":
axis.set_xscale("log")
axis.set_yscale("log")
if "orthonormal" in plot_[2] and plot_[2]["orthonormal"]:
axis.set_aspect("equal")
if "xlim" in plot_[2]:
axis.set_xlim(*plot_[2]["xlim"])
if "ylim" in plot_[2]:
axis.set_ylim(*plot_[2]["ylim"])
# Do not clip line at the axes boundaries to prevent
# extremas from being cropped.
for tmp_plot in tmp_plots:
tmp_plot.set_clip_on(False)
# Set ax properties
self._set_axes_properties(axis, group_)
if self.animation["type"] is False:
self._render_no_animation()
elif self.animation["type"] == "gif":
self._render_gif_animation()
elif self.animation["type"] == "animation":
# TODO
return None
else:
return None
self.figure.tight_layout(pad=1)
def _render_gif_animation(self):
"""
Handle the render of a GIF-like animation, cycling through the plots.
:returns: A :mod:`matplotlib` figure.
"""
# Init
# TODO
self.axes[_DEFAULT_GROUP].set_xlim((-2, 2))
self.axes[_DEFAULT_GROUP].set_ylim((-2, 2))
line, = self.axes[_DEFAULT_GROUP].plot([], [])
# Define an animation function (closure)
def animate(i):
# TODO
x = np.linspace(0, 2, 1000)
y = np.sin(2 * np.pi * (x - 0.01 * i))
line.set_data(x, y)
return line,
# Set default kwargs
default_args = (self.figure, animate)
default_kwargs = {
"frames": 200,
"interval": 20,
"blit": True,
}
# Update with overloaded arguments
default_args = default_args + self.animation["args"]
default_kwargs.update(self.animation["kwargs"])
# Keep track of animation object, as it has to persist
self.animation["persist"] = [
animation.FuncAnimation(*default_args, **default_kwargs)]
return self.figure
def _render_no_animation(self):
"""
Handle the render of the figure when no animation is used.
:returns: A :mod:`matplotlib` figure.
"""
# Add plots
for group_ in self.plots:
# Get the axis corresponding to current group
try:
axis = self.axes[group_]
except KeyError:
# If not found, plot in the default group
axis = self.axes[_DEFAULT_GROUP]
# Skip this plot if the axis is None
if axis is None:
continue
# Plot
for plot_ in self.plots[group_]:
tmp_plots = axis.plot(*(plot_[0]), **(plot_[1]))
# Handle custom kwargs at plotting time
if "logscale" in plot_[2]:
if plot_[2]["logscale"] == "log":
axis.set_xscale("log")
elif plot_[2]["logscale"] == "loglog":
axis.set_xscale("log")
axis.set_yscale("log")
if "orthonormal" in plot_[2] and plot_[2]["orthonormal"]:
axis.set_aspect("equal")
if "xlim" in plot_[2]:
axis.set_xlim(*plot_[2]["xlim"])
if "ylim" in plot_[2]:
axis.set_ylim(*plot_[2]["ylim"])
# Do not clip line at the axes boundaries to prevent
# extremas from being cropped.
for tmp_plot in tmp_plots:
tmp_plot.set_clip_on(False)
# Set ax properties
self._set_axes_properties(axis, group_)
return self.figure
@ -829,6 +916,12 @@ def _handle_custom_plot_arguments(kwargs):
# Convert angle to radians
custom_kwargs["rotate"] = kwargs["rotate"] * np.pi / 180
del kwargs["rotate"]
# Handle "frame" argument
if "frame" in kwargs:
custom_kwargs["frame"] = kwargs["frame"]
del kwargs["frame"]
else:
custom_kwargs["frame"] = 0
return (kwargs, custom_kwargs)

7
replot/exceptions.py
View File

@ -15,3 +15,10 @@ class InvalidParameterError(BaseException):
Exception raised when an invalid parameter is provided.
"""
pass
class InvalidFigure(BaseException):
"""
Exception raised when a figure is invalid and cannot be shown.
"""
pass