624 lines
23 KiB
Python
624 lines
23 KiB
Python
from numbers import Number
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import functools
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import numpy as np
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import matplotlib as mpl
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from matplotlib import cbook
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import matplotlib.ticker as ticker
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from matplotlib.gridspec import SubplotSpec
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from .axes_divider import Size, SubplotDivider, Divider
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from .mpl_axes import Axes
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def _tick_only(ax, bottom_on, left_on):
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bottom_off = not bottom_on
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left_off = not left_on
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ax.axis["bottom"].toggle(ticklabels=bottom_off, label=bottom_off)
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ax.axis["left"].toggle(ticklabels=left_off, label=left_off)
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class CbarAxesBase:
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def __init__(self, *args, orientation, **kwargs):
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self.orientation = orientation
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self._default_label_on = True
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self._locator = None # deprecated.
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super().__init__(*args, **kwargs)
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@cbook._rename_parameter("3.2", "locator", "ticks")
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def colorbar(self, mappable, *, ticks=None, **kwargs):
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if self.orientation in ["top", "bottom"]:
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orientation = "horizontal"
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else:
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orientation = "vertical"
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if mpl.rcParams["mpl_toolkits.legacy_colorbar"]:
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cbook.warn_deprecated(
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"3.2", message="Since %(since)s, mpl_toolkits's own colorbar "
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"implementation is deprecated; it will be removed "
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"%(removal)s. Set the 'mpl_toolkits.legacy_colorbar' rcParam "
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"to False to use Matplotlib's default colorbar implementation "
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"and suppress this deprecation warning.")
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if ticks is None:
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ticks = ticker.MaxNLocator(5) # For backcompat.
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from .colorbar import Colorbar
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cb = Colorbar(
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self, mappable, orientation=orientation, ticks=ticks, **kwargs)
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self._cbid = mappable.callbacksSM.connect(
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'changed', cb.update_normal)
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mappable.colorbar = cb
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self._locator = cb.cbar_axis.get_major_locator()
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else:
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cb = mpl.colorbar.colorbar_factory(
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self, mappable, orientation=orientation, ticks=ticks, **kwargs)
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self._cbid = mappable.colorbar_cid # deprecated.
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self._locator = cb.locator # deprecated.
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self._config_axes()
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return cb
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cbid = cbook._deprecate_privatize_attribute(
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"3.3", alternative="mappable.colorbar_cid")
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locator = cbook._deprecate_privatize_attribute(
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"3.3", alternative=".colorbar().locator")
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def _config_axes(self):
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"""Make an axes patch and outline."""
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ax = self
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ax.set_navigate(False)
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ax.axis[:].toggle(all=False)
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b = self._default_label_on
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ax.axis[self.orientation].toggle(all=b)
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def toggle_label(self, b):
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self._default_label_on = b
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axis = self.axis[self.orientation]
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axis.toggle(ticklabels=b, label=b)
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def cla(self):
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super().cla()
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self._config_axes()
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class CbarAxes(CbarAxesBase, Axes):
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pass
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class Grid:
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"""
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A grid of Axes.
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In Matplotlib, the axes location (and size) is specified in normalized
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figure coordinates. This may not be ideal for images that needs to be
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displayed with a given aspect ratio; for example, it is difficult to
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display multiple images of a same size with some fixed padding between
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them. AxesGrid can be used in such case.
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"""
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_defaultAxesClass = Axes
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@cbook._delete_parameter("3.3", "add_all")
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def __init__(self, fig,
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rect,
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nrows_ncols,
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ngrids=None,
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direction="row",
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axes_pad=0.02,
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add_all=True,
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share_all=False,
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share_x=True,
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share_y=True,
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label_mode="L",
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axes_class=None,
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*,
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aspect=False,
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):
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"""
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Parameters
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----------
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fig : `.Figure`
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The parent figure.
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rect : (float, float, float, float) or int
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The axes position, as a ``(left, bottom, width, height)`` tuple or
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as a three-digit subplot position code (e.g., "121").
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nrows_ncols : (int, int)
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Number of rows and columns in the grid.
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ngrids : int or None, default: None
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If not None, only the first *ngrids* axes in the grid are created.
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direction : {"row", "column"}, default: "row"
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Whether axes are created in row-major ("row by row") or
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column-major order ("column by column").
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axes_pad : float or (float, float), default: 0.02
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Padding or (horizontal padding, vertical padding) between axes, in
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inches.
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add_all : bool, default: True
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Whether to add the axes to the figure using `.Figure.add_axes`.
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This parameter is deprecated.
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share_all : bool, default: False
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Whether all axes share their x- and y-axis. Overrides *share_x*
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and *share_y*.
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share_x : bool, default: True
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Whether all axes of a column share their x-axis.
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share_y : bool, default: True
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Whether all axes of a row share their y-axis.
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label_mode : {"L", "1", "all"}, default: "L"
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Determines which axes will get tick labels:
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- "L": All axes on the left column get vertical tick labels;
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all axes on the bottom row get horizontal tick labels.
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- "1": Only the bottom left axes is labelled.
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- "all": all axes are labelled.
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axes_class : subclass of `matplotlib.axes.Axes`, default: None
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aspect : bool, default: False
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Whether the axes aspect ratio follows the aspect ratio of the data
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limits.
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"""
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self._nrows, self._ncols = nrows_ncols
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if ngrids is None:
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ngrids = self._nrows * self._ncols
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else:
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if not 0 < ngrids <= self._nrows * self._ncols:
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raise Exception("")
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self.ngrids = ngrids
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self._horiz_pad_size, self._vert_pad_size = map(
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Size.Fixed, np.broadcast_to(axes_pad, 2))
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cbook._check_in_list(["column", "row"], direction=direction)
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self._direction = direction
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if axes_class is None:
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axes_class = self._defaultAxesClass
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elif isinstance(axes_class, (list, tuple)):
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cls, kwargs = axes_class
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axes_class = functools.partial(cls, **kwargs)
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kw = dict(horizontal=[], vertical=[], aspect=aspect)
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if isinstance(rect, (str, Number, SubplotSpec)):
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self._divider = SubplotDivider(fig, rect, **kw)
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elif len(rect) == 3:
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self._divider = SubplotDivider(fig, *rect, **kw)
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elif len(rect) == 4:
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self._divider = Divider(fig, rect, **kw)
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else:
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raise Exception("")
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rect = self._divider.get_position()
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axes_array = np.full((self._nrows, self._ncols), None, dtype=object)
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for i in range(self.ngrids):
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col, row = self._get_col_row(i)
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if share_all:
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sharex = sharey = axes_array[0, 0]
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else:
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sharex = axes_array[0, col] if share_x else None
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sharey = axes_array[row, 0] if share_y else None
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axes_array[row, col] = axes_class(
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fig, rect, sharex=sharex, sharey=sharey)
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self.axes_all = axes_array.ravel().tolist()
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self.axes_column = axes_array.T.tolist()
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self.axes_row = axes_array.tolist()
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self.axes_llc = self.axes_column[0][-1]
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self._init_locators()
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if add_all:
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for ax in self.axes_all:
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fig.add_axes(ax)
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self.set_label_mode(label_mode)
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def _init_locators(self):
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h = []
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h_ax_pos = []
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for _ in range(self._ncols):
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if h:
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h.append(self._horiz_pad_size)
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h_ax_pos.append(len(h))
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sz = Size.Scaled(1)
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h.append(sz)
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v = []
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v_ax_pos = []
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for _ in range(self._nrows):
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if v:
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v.append(self._vert_pad_size)
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v_ax_pos.append(len(v))
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sz = Size.Scaled(1)
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v.append(sz)
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for i in range(self.ngrids):
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col, row = self._get_col_row(i)
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locator = self._divider.new_locator(
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nx=h_ax_pos[col], ny=v_ax_pos[self._nrows - 1 - row])
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self.axes_all[i].set_axes_locator(locator)
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self._divider.set_horizontal(h)
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self._divider.set_vertical(v)
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def _get_col_row(self, n):
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if self._direction == "column":
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col, row = divmod(n, self._nrows)
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else:
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row, col = divmod(n, self._ncols)
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return col, row
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# Good to propagate __len__ if we have __getitem__
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def __len__(self):
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return len(self.axes_all)
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def __getitem__(self, i):
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return self.axes_all[i]
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def get_geometry(self):
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"""
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Return the number of rows and columns of the grid as (nrows, ncols).
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"""
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return self._nrows, self._ncols
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def set_axes_pad(self, axes_pad):
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"""
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Set the padding between the axes.
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Parameters
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----------
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axes_pad : (float, float)
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The padding (horizontal pad, vertical pad) in inches.
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"""
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self._horiz_pad_size.fixed_size = axes_pad[0]
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self._vert_pad_size.fixed_size = axes_pad[1]
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def get_axes_pad(self):
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"""
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Return the axes padding.
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Returns
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-------
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hpad, vpad
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Padding (horizontal pad, vertical pad) in inches.
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"""
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return (self._horiz_pad_size.fixed_size,
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self._vert_pad_size.fixed_size)
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def set_aspect(self, aspect):
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"""Set the aspect of the SubplotDivider."""
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self._divider.set_aspect(aspect)
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def get_aspect(self):
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"""Return the aspect of the SubplotDivider."""
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return self._divider.get_aspect()
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def set_label_mode(self, mode):
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"""
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Define which axes have tick labels.
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Parameters
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----------
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mode : {"L", "1", "all"}
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The label mode:
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- "L": All axes on the left column get vertical tick labels;
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all axes on the bottom row get horizontal tick labels.
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- "1": Only the bottom left axes is labelled.
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- "all": all axes are labelled.
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"""
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if mode == "all":
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for ax in self.axes_all:
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_tick_only(ax, False, False)
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elif mode == "L":
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# left-most axes
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for ax in self.axes_column[0][:-1]:
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_tick_only(ax, bottom_on=True, left_on=False)
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# lower-left axes
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ax = self.axes_column[0][-1]
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_tick_only(ax, bottom_on=False, left_on=False)
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for col in self.axes_column[1:]:
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# axes with no labels
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for ax in col[:-1]:
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_tick_only(ax, bottom_on=True, left_on=True)
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# bottom
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ax = col[-1]
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_tick_only(ax, bottom_on=False, left_on=True)
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elif mode == "1":
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for ax in self.axes_all:
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_tick_only(ax, bottom_on=True, left_on=True)
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ax = self.axes_llc
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_tick_only(ax, bottom_on=False, left_on=False)
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def get_divider(self):
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return self._divider
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def set_axes_locator(self, locator):
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self._divider.set_locator(locator)
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def get_axes_locator(self):
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return self._divider.get_locator()
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def get_vsize_hsize(self):
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return self._divider.get_vsize_hsize()
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class ImageGrid(Grid):
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# docstring inherited
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_defaultCbarAxesClass = CbarAxes
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@cbook._delete_parameter("3.3", "add_all")
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def __init__(self, fig,
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rect,
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nrows_ncols,
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ngrids=None,
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direction="row",
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axes_pad=0.02,
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add_all=True,
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share_all=False,
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aspect=True,
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label_mode="L",
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cbar_mode=None,
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cbar_location="right",
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cbar_pad=None,
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cbar_size="5%",
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cbar_set_cax=True,
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axes_class=None,
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):
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"""
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Parameters
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----------
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fig : `.Figure`
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The parent figure.
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rect : (float, float, float, float) or int
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The axes position, as a ``(left, bottom, width, height)`` tuple or
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as a three-digit subplot position code (e.g., "121").
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nrows_ncols : (int, int)
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Number of rows and columns in the grid.
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ngrids : int or None, default: None
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If not None, only the first *ngrids* axes in the grid are created.
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direction : {"row", "column"}, default: "row"
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Whether axes are created in row-major ("row by row") or
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column-major order ("column by column"). This also affects the
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order in which axes are accessed using indexing (``grid[index]``).
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axes_pad : float or (float, float), default: 0.02in
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Padding or (horizontal padding, vertical padding) between axes, in
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inches.
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add_all : bool, default: True
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Whether to add the axes to the figure using `.Figure.add_axes`.
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This parameter is deprecated.
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share_all : bool, default: False
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Whether all axes share their x- and y-axis.
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aspect : bool, default: True
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Whether the axes aspect ratio follows the aspect ratio of the data
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limits.
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label_mode : {"L", "1", "all"}, default: "L"
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Determines which axes will get tick labels:
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- "L": All axes on the left column get vertical tick labels;
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all axes on the bottom row get horizontal tick labels.
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- "1": Only the bottom left axes is labelled.
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- "all": all axes are labelled.
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cbar_mode : {"each", "single", "edge", None}, default: None
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Whether to create a colorbar for "each" axes, a "single" colorbar
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for the entire grid, colorbars only for axes on the "edge"
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determined by *cbar_location*, or no colorbars. The colorbars are
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stored in the :attr:`cbar_axes` attribute.
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cbar_location : {"left", "right", "bottom", "top"}, default: "right"
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cbar_pad : float, default: None
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Padding between the image axes and the colorbar axes.
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cbar_size : size specification (see `.Size.from_any`), default: "5%"
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Colorbar size.
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cbar_set_cax : bool, default: True
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If True, each axes in the grid has a *cax* attribute that is bound
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to associated *cbar_axes*.
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axes_class : subclass of `matplotlib.axes.Axes`, default: None
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"""
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self._colorbar_mode = cbar_mode
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self._colorbar_location = cbar_location
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self._colorbar_pad = cbar_pad
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self._colorbar_size = cbar_size
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# The colorbar axes are created in _init_locators().
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if add_all:
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super().__init__(
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fig, rect, nrows_ncols, ngrids,
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direction=direction, axes_pad=axes_pad,
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share_all=share_all, share_x=True, share_y=True, aspect=aspect,
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label_mode=label_mode, axes_class=axes_class)
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else: # Only show deprecation in that case.
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super().__init__(
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fig, rect, nrows_ncols, ngrids,
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direction=direction, axes_pad=axes_pad, add_all=add_all,
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share_all=share_all, share_x=True, share_y=True, aspect=aspect,
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label_mode=label_mode, axes_class=axes_class)
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if add_all:
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for ax in self.cbar_axes:
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fig.add_axes(ax)
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if cbar_set_cax:
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if self._colorbar_mode == "single":
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for ax in self.axes_all:
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ax.cax = self.cbar_axes[0]
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elif self._colorbar_mode == "edge":
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for index, ax in enumerate(self.axes_all):
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col, row = self._get_col_row(index)
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if self._colorbar_location in ("left", "right"):
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ax.cax = self.cbar_axes[row]
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else:
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ax.cax = self.cbar_axes[col]
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else:
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for ax, cax in zip(self.axes_all, self.cbar_axes):
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ax.cax = cax
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def _init_locators(self):
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# Slightly abusing this method to inject colorbar creation into init.
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if self._colorbar_pad is None:
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# horizontal or vertical arrangement?
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if self._colorbar_location in ("left", "right"):
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self._colorbar_pad = self._horiz_pad_size.fixed_size
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else:
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self._colorbar_pad = self._vert_pad_size.fixed_size
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self.cbar_axes = [
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self._defaultCbarAxesClass(
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self.axes_all[0].figure, self._divider.get_position(),
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orientation=self._colorbar_location)
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for _ in range(self.ngrids)]
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cb_mode = self._colorbar_mode
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cb_location = self._colorbar_location
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h = []
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v = []
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h_ax_pos = []
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h_cb_pos = []
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if cb_mode == "single" and cb_location in ("left", "bottom"):
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if cb_location == "left":
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sz = self._nrows * Size.AxesX(self.axes_llc)
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h.append(Size.from_any(self._colorbar_size, sz))
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h.append(Size.from_any(self._colorbar_pad, sz))
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locator = self._divider.new_locator(nx=0, ny=0, ny1=-1)
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elif cb_location == "bottom":
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sz = self._ncols * Size.AxesY(self.axes_llc)
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v.append(Size.from_any(self._colorbar_size, sz))
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v.append(Size.from_any(self._colorbar_pad, sz))
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locator = self._divider.new_locator(nx=0, nx1=-1, ny=0)
|
|
for i in range(self.ngrids):
|
|
self.cbar_axes[i].set_visible(False)
|
|
self.cbar_axes[0].set_axes_locator(locator)
|
|
self.cbar_axes[0].set_visible(True)
|
|
|
|
for col, ax in enumerate(self.axes_row[0]):
|
|
if h:
|
|
h.append(self._horiz_pad_size)
|
|
|
|
if ax:
|
|
sz = Size.AxesX(ax, aspect="axes", ref_ax=self.axes_all[0])
|
|
else:
|
|
sz = Size.AxesX(self.axes_all[0],
|
|
aspect="axes", ref_ax=self.axes_all[0])
|
|
|
|
if (cb_location == "left"
|
|
and (cb_mode == "each"
|
|
or (cb_mode == "edge" and col == 0))):
|
|
h_cb_pos.append(len(h))
|
|
h.append(Size.from_any(self._colorbar_size, sz))
|
|
h.append(Size.from_any(self._colorbar_pad, sz))
|
|
|
|
h_ax_pos.append(len(h))
|
|
h.append(sz)
|
|
|
|
if (cb_location == "right"
|
|
and (cb_mode == "each"
|
|
or (cb_mode == "edge" and col == self._ncols - 1))):
|
|
h.append(Size.from_any(self._colorbar_pad, sz))
|
|
h_cb_pos.append(len(h))
|
|
h.append(Size.from_any(self._colorbar_size, sz))
|
|
|
|
v_ax_pos = []
|
|
v_cb_pos = []
|
|
for row, ax in enumerate(self.axes_column[0][::-1]):
|
|
if v:
|
|
v.append(self._vert_pad_size)
|
|
|
|
if ax:
|
|
sz = Size.AxesY(ax, aspect="axes", ref_ax=self.axes_all[0])
|
|
else:
|
|
sz = Size.AxesY(self.axes_all[0],
|
|
aspect="axes", ref_ax=self.axes_all[0])
|
|
|
|
if (cb_location == "bottom"
|
|
and (cb_mode == "each"
|
|
or (cb_mode == "edge" and row == 0))):
|
|
v_cb_pos.append(len(v))
|
|
v.append(Size.from_any(self._colorbar_size, sz))
|
|
v.append(Size.from_any(self._colorbar_pad, sz))
|
|
|
|
v_ax_pos.append(len(v))
|
|
v.append(sz)
|
|
|
|
if (cb_location == "top"
|
|
and (cb_mode == "each"
|
|
or (cb_mode == "edge" and row == self._nrows - 1))):
|
|
v.append(Size.from_any(self._colorbar_pad, sz))
|
|
v_cb_pos.append(len(v))
|
|
v.append(Size.from_any(self._colorbar_size, sz))
|
|
|
|
for i in range(self.ngrids):
|
|
col, row = self._get_col_row(i)
|
|
locator = self._divider.new_locator(nx=h_ax_pos[col],
|
|
ny=v_ax_pos[self._nrows-1-row])
|
|
self.axes_all[i].set_axes_locator(locator)
|
|
|
|
if cb_mode == "each":
|
|
if cb_location in ("right", "left"):
|
|
locator = self._divider.new_locator(
|
|
nx=h_cb_pos[col], ny=v_ax_pos[self._nrows - 1 - row])
|
|
|
|
elif cb_location in ("top", "bottom"):
|
|
locator = self._divider.new_locator(
|
|
nx=h_ax_pos[col], ny=v_cb_pos[self._nrows - 1 - row])
|
|
|
|
self.cbar_axes[i].set_axes_locator(locator)
|
|
elif cb_mode == "edge":
|
|
if (cb_location == "left" and col == 0
|
|
or cb_location == "right" and col == self._ncols - 1):
|
|
locator = self._divider.new_locator(
|
|
nx=h_cb_pos[0], ny=v_ax_pos[self._nrows - 1 - row])
|
|
self.cbar_axes[row].set_axes_locator(locator)
|
|
elif (cb_location == "bottom" and row == self._nrows - 1
|
|
or cb_location == "top" and row == 0):
|
|
locator = self._divider.new_locator(nx=h_ax_pos[col],
|
|
ny=v_cb_pos[0])
|
|
self.cbar_axes[col].set_axes_locator(locator)
|
|
|
|
if cb_mode == "single":
|
|
if cb_location == "right":
|
|
sz = self._nrows * Size.AxesX(self.axes_llc)
|
|
h.append(Size.from_any(self._colorbar_pad, sz))
|
|
h.append(Size.from_any(self._colorbar_size, sz))
|
|
locator = self._divider.new_locator(nx=-2, ny=0, ny1=-1)
|
|
elif cb_location == "top":
|
|
sz = self._ncols * Size.AxesY(self.axes_llc)
|
|
v.append(Size.from_any(self._colorbar_pad, sz))
|
|
v.append(Size.from_any(self._colorbar_size, sz))
|
|
locator = self._divider.new_locator(nx=0, nx1=-1, ny=-2)
|
|
if cb_location in ("right", "top"):
|
|
for i in range(self.ngrids):
|
|
self.cbar_axes[i].set_visible(False)
|
|
self.cbar_axes[0].set_axes_locator(locator)
|
|
self.cbar_axes[0].set_visible(True)
|
|
elif cb_mode == "each":
|
|
for i in range(self.ngrids):
|
|
self.cbar_axes[i].set_visible(True)
|
|
elif cb_mode == "edge":
|
|
if cb_location in ("right", "left"):
|
|
count = self._nrows
|
|
else:
|
|
count = self._ncols
|
|
for i in range(count):
|
|
self.cbar_axes[i].set_visible(True)
|
|
for j in range(i + 1, self.ngrids):
|
|
self.cbar_axes[j].set_visible(False)
|
|
else:
|
|
for i in range(self.ngrids):
|
|
self.cbar_axes[i].set_visible(False)
|
|
self.cbar_axes[i].set_position([1., 1., 0.001, 0.001],
|
|
which="active")
|
|
|
|
self._divider.set_horizontal(h)
|
|
self._divider.set_vertical(v)
|
|
|
|
|
|
AxesGrid = ImageGrid
|