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276 lines
10 KiB
Python
276 lines
10 KiB
Python
"""
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An experimental support for curvilinear grid.
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"""
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# TODO :
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# see if tick_iterator method can be simplified by reusing the parent method.
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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 _api, cbook
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import matplotlib.patches as mpatches
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from matplotlib.path import Path
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from mpl_toolkits.axes_grid1.parasite_axes import host_axes_class_factory
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from . import axislines, grid_helper_curvelinear
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from .axis_artist import AxisArtist
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from .grid_finder import ExtremeFinderSimple
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class FloatingAxisArtistHelper(
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grid_helper_curvelinear.FloatingAxisArtistHelper):
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pass
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class FixedAxisArtistHelper(grid_helper_curvelinear.FloatingAxisArtistHelper):
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def __init__(self, grid_helper, side, nth_coord_ticks=None):
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"""
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nth_coord = along which coordinate value varies.
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nth_coord = 0 -> x axis, nth_coord = 1 -> y axis
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"""
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lon1, lon2, lat1, lat2 = grid_helper.grid_finder.extreme_finder(*[None] * 5)
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value, nth_coord = _api.check_getitem(
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dict(left=(lon1, 0), right=(lon2, 0), bottom=(lat1, 1), top=(lat2, 1)),
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side=side)
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super().__init__(grid_helper, nth_coord, value, axis_direction=side)
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if nth_coord_ticks is None:
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nth_coord_ticks = nth_coord
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self.nth_coord_ticks = nth_coord_ticks
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self.value = value
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self.grid_helper = grid_helper
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self._side = side
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def update_lim(self, axes):
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self.grid_helper.update_lim(axes)
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self._grid_info = self.grid_helper._grid_info
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def get_tick_iterators(self, axes):
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"""tick_loc, tick_angle, tick_label, (optionally) tick_label"""
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grid_finder = self.grid_helper.grid_finder
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lat_levs, lat_n, lat_factor = self._grid_info["lat_info"]
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yy0 = lat_levs / lat_factor
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lon_levs, lon_n, lon_factor = self._grid_info["lon_info"]
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xx0 = lon_levs / lon_factor
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extremes = self.grid_helper.grid_finder.extreme_finder(*[None] * 5)
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xmin, xmax = sorted(extremes[:2])
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ymin, ymax = sorted(extremes[2:])
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def trf_xy(x, y):
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trf = grid_finder.get_transform() + axes.transData
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return trf.transform(np.column_stack(np.broadcast_arrays(x, y))).T
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if self.nth_coord == 0:
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mask = (ymin <= yy0) & (yy0 <= ymax)
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(xx1, yy1), (dxx1, dyy1), (dxx2, dyy2) = \
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grid_helper_curvelinear._value_and_jacobian(
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trf_xy, self.value, yy0[mask], (xmin, xmax), (ymin, ymax))
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labels = self._grid_info["lat_labels"]
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elif self.nth_coord == 1:
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mask = (xmin <= xx0) & (xx0 <= xmax)
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(xx1, yy1), (dxx2, dyy2), (dxx1, dyy1) = \
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grid_helper_curvelinear._value_and_jacobian(
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trf_xy, xx0[mask], self.value, (xmin, xmax), (ymin, ymax))
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labels = self._grid_info["lon_labels"]
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labels = [l for l, m in zip(labels, mask) if m]
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angle_normal = np.arctan2(dyy1, dxx1)
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angle_tangent = np.arctan2(dyy2, dxx2)
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mm = (dyy1 == 0) & (dxx1 == 0) # points with degenerate normal
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angle_normal[mm] = angle_tangent[mm] + np.pi / 2
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tick_to_axes = self.get_tick_transform(axes) - axes.transAxes
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in_01 = functools.partial(
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mpl.transforms._interval_contains_close, (0, 1))
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def f1():
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for x, y, normal, tangent, lab \
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in zip(xx1, yy1, angle_normal, angle_tangent, labels):
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c2 = tick_to_axes.transform((x, y))
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if in_01(c2[0]) and in_01(c2[1]):
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yield [x, y], *np.rad2deg([normal, tangent]), lab
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return f1(), iter([])
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def get_line(self, axes):
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self.update_lim(axes)
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k, v = dict(left=("lon_lines0", 0),
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right=("lon_lines0", 1),
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bottom=("lat_lines0", 0),
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top=("lat_lines0", 1))[self._side]
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xx, yy = self._grid_info[k][v]
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return Path(np.column_stack([xx, yy]))
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class ExtremeFinderFixed(ExtremeFinderSimple):
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# docstring inherited
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def __init__(self, extremes):
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"""
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This subclass always returns the same bounding box.
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Parameters
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----------
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extremes : (float, float, float, float)
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The bounding box that this helper always returns.
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"""
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self._extremes = extremes
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def __call__(self, transform_xy, x1, y1, x2, y2):
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# docstring inherited
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return self._extremes
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class GridHelperCurveLinear(grid_helper_curvelinear.GridHelperCurveLinear):
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def __init__(self, aux_trans, extremes,
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grid_locator1=None,
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grid_locator2=None,
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tick_formatter1=None,
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tick_formatter2=None):
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# docstring inherited
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super().__init__(aux_trans,
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extreme_finder=ExtremeFinderFixed(extremes),
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grid_locator1=grid_locator1,
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grid_locator2=grid_locator2,
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tick_formatter1=tick_formatter1,
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tick_formatter2=tick_formatter2)
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def new_fixed_axis(
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self, loc, nth_coord=None, axis_direction=None, offset=None, axes=None):
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if axes is None:
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axes = self.axes
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if axis_direction is None:
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axis_direction = loc
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# This is not the same as the FixedAxisArtistHelper class used by
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# grid_helper_curvelinear.GridHelperCurveLinear.new_fixed_axis!
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helper = FixedAxisArtistHelper(
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self, loc, nth_coord_ticks=nth_coord)
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axisline = AxisArtist(axes, helper, axis_direction=axis_direction)
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# Perhaps should be moved to the base class?
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axisline.line.set_clip_on(True)
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axisline.line.set_clip_box(axisline.axes.bbox)
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return axisline
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# new_floating_axis will inherit the grid_helper's extremes.
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# def new_floating_axis(self, nth_coord, value, axes=None, axis_direction="bottom"):
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# axis = super(GridHelperCurveLinear,
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# self).new_floating_axis(nth_coord,
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# value, axes=axes,
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# axis_direction=axis_direction)
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# # set extreme values of the axis helper
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# if nth_coord == 1:
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# axis.get_helper().set_extremes(*self._extremes[:2])
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# elif nth_coord == 0:
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# axis.get_helper().set_extremes(*self._extremes[2:])
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# return axis
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def _update_grid(self, x1, y1, x2, y2):
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if self._grid_info is None:
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self._grid_info = dict()
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grid_info = self._grid_info
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grid_finder = self.grid_finder
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extremes = grid_finder.extreme_finder(grid_finder.inv_transform_xy,
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x1, y1, x2, y2)
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lon_min, lon_max = sorted(extremes[:2])
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lat_min, lat_max = sorted(extremes[2:])
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grid_info["extremes"] = lon_min, lon_max, lat_min, lat_max # extremes
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lon_levs, lon_n, lon_factor = \
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grid_finder.grid_locator1(lon_min, lon_max)
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lon_levs = np.asarray(lon_levs)
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lat_levs, lat_n, lat_factor = \
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grid_finder.grid_locator2(lat_min, lat_max)
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lat_levs = np.asarray(lat_levs)
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grid_info["lon_info"] = lon_levs, lon_n, lon_factor
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grid_info["lat_info"] = lat_levs, lat_n, lat_factor
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grid_info["lon_labels"] = grid_finder._format_ticks(
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1, "bottom", lon_factor, lon_levs)
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grid_info["lat_labels"] = grid_finder._format_ticks(
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2, "bottom", lat_factor, lat_levs)
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lon_values = lon_levs[:lon_n] / lon_factor
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lat_values = lat_levs[:lat_n] / lat_factor
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lon_lines, lat_lines = grid_finder._get_raw_grid_lines(
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lon_values[(lon_min < lon_values) & (lon_values < lon_max)],
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lat_values[(lat_min < lat_values) & (lat_values < lat_max)],
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lon_min, lon_max, lat_min, lat_max)
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grid_info["lon_lines"] = lon_lines
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grid_info["lat_lines"] = lat_lines
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lon_lines, lat_lines = grid_finder._get_raw_grid_lines(
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# lon_min, lon_max, lat_min, lat_max)
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extremes[:2], extremes[2:], *extremes)
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grid_info["lon_lines0"] = lon_lines
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grid_info["lat_lines0"] = lat_lines
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def get_gridlines(self, which="major", axis="both"):
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grid_lines = []
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if axis in ["both", "x"]:
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grid_lines.extend(self._grid_info["lon_lines"])
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if axis in ["both", "y"]:
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grid_lines.extend(self._grid_info["lat_lines"])
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return grid_lines
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class FloatingAxesBase:
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def __init__(self, *args, grid_helper, **kwargs):
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_api.check_isinstance(GridHelperCurveLinear, grid_helper=grid_helper)
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super().__init__(*args, grid_helper=grid_helper, **kwargs)
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self.set_aspect(1.)
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def _gen_axes_patch(self):
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# docstring inherited
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x0, x1, y0, y1 = self.get_grid_helper().grid_finder.extreme_finder(*[None] * 5)
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patch = mpatches.Polygon([(x0, y0), (x1, y0), (x1, y1), (x0, y1)])
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patch.get_path()._interpolation_steps = 100
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return patch
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def clear(self):
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super().clear()
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self.patch.set_transform(
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self.get_grid_helper().grid_finder.get_transform()
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+ self.transData)
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# The original patch is not in the draw tree; it is only used for
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# clipping purposes.
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orig_patch = super()._gen_axes_patch()
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orig_patch.set_figure(self.get_figure(root=False))
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orig_patch.set_transform(self.transAxes)
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self.patch.set_clip_path(orig_patch)
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self.gridlines.set_clip_path(orig_patch)
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self.adjust_axes_lim()
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def adjust_axes_lim(self):
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bbox = self.patch.get_path().get_extents(
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# First transform to pixel coords, then to parent data coords.
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self.patch.get_transform() - self.transData)
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bbox = bbox.expanded(1.02, 1.02)
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self.set_xlim(bbox.xmin, bbox.xmax)
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self.set_ylim(bbox.ymin, bbox.ymax)
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floatingaxes_class_factory = cbook._make_class_factory(FloatingAxesBase, "Floating{}")
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FloatingAxes = floatingaxes_class_factory(host_axes_class_factory(axislines.Axes))
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FloatingSubplot = FloatingAxes
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