Handle groups of plots
But no difference between grouped plots and ungrouped plots at the moment.
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1592
Examples.ipynb
1592
Examples.ipynb
File diff suppressed because one or more lines are too long
@ -2,6 +2,7 @@
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The :mod:`replot` module is a (sane) Python plotting module, abstracting on top
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of Matplotlib.
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"""
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import collections
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import shutil
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import matplotlib.pyplot as plt
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@ -15,25 +16,6 @@ from replot import exceptions as exc
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__VERSION__ = "0.0.1"
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def mpl_custom_rc_context():
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"""
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Overload ``matplotlib.rcParams`` to enable advanced features if \
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available. In particular, use LaTeX if available.
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:returns: A ``matplotlib.rc_context`` object to use in a ``with`` \
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statement.
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"""
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custom_rc = {}
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# Add LaTeX in rc if available
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if(shutil.which("latex") is not None and
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shutil.which("gs") is not None and
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shutil.which("dvipng") is not None):
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# LateX dependencies are all available
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custom_rc["text.usetex"] = True
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custom_rc["text.latex.unicode"] = True
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return plt.rc_context(rc=custom_rc)
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class Figure():
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"""
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The main class from :mod:`replot`, representing a figure. Can be used \
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@ -69,7 +51,7 @@ class Figure():
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self.palette = palette
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self.max_colors = max_colors
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self.legend = legend
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self.plots = []
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self.plots = collections.defaultdict(list) # keys are groups
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def __enter__(self):
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return self
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@ -91,12 +73,13 @@ class Figure():
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# Create figure
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figure, axes = plt.subplots()
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# Add plots
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for plot_ in self.plots:
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tmp_plots = axes.plot(*(plot_[0]), **(plot_[1]))
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# Do not clip line at the axes boundaries to prevent
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# extremas from being cropped.
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for tmp_plot in tmp_plots:
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tmp_plot.set_clip_on(False)
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for group_ in self.plots:
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for plot_ in self.plots[group_]:
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tmp_plots = axes.plot(*(plot_[0]), **(plot_[1]))
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# Do not clip line at the axes boundaries to prevent
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# extremas from being cropped.
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for tmp_plot in tmp_plots:
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tmp_plot.set_clip_on(False)
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# Set properties
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axes.set_xlabel(self.xlabel)
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axes.set_ylabel(self.ylabel)
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@ -123,66 +106,49 @@ class Figure():
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- Two arguments being a function and an interval represented by \
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a tuple of its bounds.
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.. note:: ``kwargs`` arguments are directly passed to \
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.. note:: ``kwargs`` arguments are passed to \
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``matplotlib.pyplot.plot``.
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.. note:: You can use some :mod:`replot` specific keyword arguments:
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- ``group`` which defines permits to group plots together, in \
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subplots (one unicode character maximum).
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>>> with replot.figure() as fig: fig.plot(np.sin, (-1, 1))
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>>> with replot.figure() as fig: fig.plot(np.sin, [-1, -0.9, …, 1])
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>>> with replot.figure() as fig: fig.plot([1, 2, 3], [4, 5, 6])
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>>> with replot.figure() as fig: fig.plot([1, 2, 3],
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[4, 5, 6], linewidth=2.0)
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>>> with replot.figure() as fig: fig.plot([1, 2, 3],
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[4, 5, 6], group="a")
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"""
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if len(args) == 0:
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raise exc.InvalidParameterError(
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"You should pass at least one argument to this function.")
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# Extra custom kwargs (the ones from replot but not matplotlib) from
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# kwargs
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kwargs, custom_kwargs = _handle_custom_plot_arguments(kwargs)
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if hasattr(args[0], "__call__"):
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# We want to plot a function
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self._plot_function(args[0], *(args[1:]), **kwargs)
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plot_ = _plot_function(args[0], *(args[1:]), **kwargs)
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else:
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# Else, it is a point series, and we just have to store it for
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# later plotting.
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self.plots.append((args, kwargs))
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plot_ = (args, kwargs)
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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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else:
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self.plots["default"].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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if "label" in kwargs and self.legend is None:
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self.legend = True
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def _plot_function(self, data, *args, **kwargs):
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"""
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Helper function to handle plotting of unevaluated functions (trying \
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to evaluate it nicely and rendering the plot).
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:param data: The function to plot.
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.. seealso:: The documentation of the ``replot.Figure.plot`` method.
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.. note:: ``args`` is used to handle the interval or point series on \
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which the function should be evaluated. ``kwargs`` are passed \
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directly to ``matplotlib.pyplot.plot`.
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"""
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if len(args) == 0:
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# If no interval specified, raise an issue
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raise exc.InvalidParameterError(
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"You should pass a plotting interval to the plot command.")
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elif isinstance(args[0], tuple):
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# Interval specified, use it and adaptive plotting
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x_values, y_values = adaptive_sampling.sample_function(
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data,
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args[0],
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tol=1e-3)
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elif isinstance(args[0], (list, np.ndarray)):
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# List of points specified, use them and compute values of the
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# function
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x_values = args[0]
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y_values = [data(i) for i in x_values]
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else:
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raise exc.InvalidParameterError(
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"Second parameter in plot command should be a tuple " +
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"specifying plotting interval.")
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self.plots.append(((x_values, y_values) + args[1:], kwargs))
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def _legend(self, axes):
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"""
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Helper function to handle ``legend`` attribute. It places the legend \
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@ -250,3 +216,79 @@ def plot(data, **kwargs):
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else:
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figure.plot(plot_)
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figure.show()
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def mpl_custom_rc_context():
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"""
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Overload ``matplotlib.rcParams`` to enable advanced features if \
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available. In particular, use LaTeX if available.
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:returns: A ``matplotlib.rc_context`` object to use in a ``with`` \
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statement.
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"""
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custom_rc = {}
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# Add LaTeX in rc if available
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if(shutil.which("latex") is not None and
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shutil.which("gs") is not None and
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shutil.which("dvipng") is not None):
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# LateX dependencies are all available
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custom_rc["text.usetex"] = True
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custom_rc["text.latex.unicode"] = True
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return plt.rc_context(rc=custom_rc)
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def _handle_custom_plot_arguments(kwargs):
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"""
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This method handles custom keyword arguments from plot in \
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:mod:`replot` which are not in :mod:`matplotlib` function.
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:param kwargs: A dictionary of keyword arguments to handle.
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:return: A tuple of :mod:`matplotlib` compatible keyword arguments \
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and of extra :mod:`replot` keyword arguments, both returned \
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as ``dict``.
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"""
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custom_kwargs = {}
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# Handle "group" argument
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if "group" in kwargs:
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if len(kwargs["group"]) > 1:
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raise exc.InvalidParameterError(
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"Group name cannot be longer than one unicode character.")
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custom_kwargs["group"] = kwargs["group"]
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del kwargs["group"]
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return (kwargs, custom_kwargs)
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def _plot_function(data, *args, **kwargs):
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"""
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Helper function to handle plotting of unevaluated functions (trying \
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to evaluate it nicely and rendering the plot).
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:param data: The function to plot.
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:returns: A tuple of ``(args, kwargs)`` representing the plot.
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.. seealso:: The documentation of the ``replot.Figure.plot`` method.
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.. note:: ``args`` is used to handle the interval or point series on \
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which the function should be evaluated. ``kwargs`` are passed \
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directly to ``matplotlib.pyplot.plot`.
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"""
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if len(args) == 0:
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# If no interval specified, raise an issue
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raise exc.InvalidParameterError(
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"You should pass a plotting interval to the plot command.")
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elif isinstance(args[0], tuple):
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# Interval specified, use it and adaptive plotting
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x_values, y_values = adaptive_sampling.sample_function(
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data,
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args[0],
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tol=1e-3)
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elif isinstance(args[0], (list, np.ndarray)):
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# List of points specified, use them and compute values of the
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# function
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x_values = args[0]
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y_values = [data(i) for i in x_values]
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else:
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raise exc.InvalidParameterError(
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"Second parameter in plot command should be a tuple " +
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"specifying plotting interval.")
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return ((x_values, y_values) + args[1:], kwargs)
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