Source code for plotnine.geoms.geom_path

from collections import Counter
from warnings import warn
from contextlib import suppress

import numpy as np
import matplotlib.collections as mcoll
import matplotlib.lines as mlines
import matplotlib.patches as mpatches
import matplotlib.path as mpath

from ..exceptions import PlotnineWarning
from ..doctools import document
from ..utils import to_rgba, make_line_segments
from ..utils import SIZE_FACTOR, match
from .geom import geom

[docs]@document class geom_path(geom): """ Connected points {usage} Parameters ---------- {common_parameters} lineend : str (default: butt) Line end style, of of *butt*, *round* or *projecting.* This option is applied for solid linetypes. linejoin : str (default: round) Line join style, one of *round*, *miter* or *bevel*. This option is applied for solid linetypes. arrow : plotnine.geoms.geom_path.arrow (default: None) Arrow specification. Default is no arrow. See Also -------- plotnine.geoms.arrow : for adding arrowhead(s) to paths. """ DEFAULT_AES = {'alpha': 1, 'color': 'black', 'linetype': 'solid', 'size': 0.5} REQUIRED_AES = {'x', 'y'} DEFAULT_PARAMS = {'stat': 'identity', 'position': 'identity', 'na_rm': False, 'lineend': 'butt', 'linejoin': 'round', 'arrow': None} def handle_na(self, data): def keep(x): # first non-missing to last non-missing first = match([False], x, nomatch=1, start=0)[0] last = len(x) - match([False], x[::-1], nomatch=1, start=0)[0] bool_idx = np.hstack([np.repeat(False, first), np.repeat(True, last-first), np.repeat(False, len(x)-last)]) return bool_idx # Get indices where any row for the select aesthetics has # NaNs at the beginning or the end. Those we drop bool_idx = (data[['x', 'y', 'size', 'color', 'linetype']] .isnull() # Missing .apply(keep, axis=0)) # Beginning or the End bool_idx = np.all(bool_idx, axis=1) # Across the aesthetics # return data n1 = len(data) data = data[bool_idx] data.reset_index(drop=True, inplace=True) n2 = len(data) if (n2 != n1 and not self.params['na_rm']): msg = "geom_path: Removed {} rows containing missing values." warn(msg.format(n1-n2), PlotnineWarning) return data def draw_panel(self, data, panel_params, coord, ax, **params): if not any(data['group'].duplicated()): warn("geom_path: Each group consist of only one " "observation. Do you need to adjust the " "group aesthetic?", PlotnineWarning) # drop lines with less than two points c = Counter(data['group']) counts = np.array([c[v] for v in data['group']]) data = data[counts >= 2] if len(data) < 2: return # dataframe mergesort is stable, we rely on that here data = data.sort_values('group', kind='mergesort') data.reset_index(drop=True, inplace=True) # When the parameters of the path are not constant # with in the group, then the lines that make the paths # can be drawn as separate segments cols = {'color', 'size', 'linetype', 'alpha', 'group'} cols = cols & set(data.columns) df = data.drop_duplicates(cols) constant = len(df) == data['group'].nunique() params['constant'] = constant if not constant: self.draw_group(data, panel_params, coord, ax, **params) else: for _, gdata in data.groupby('group'): gdata.reset_index(inplace=True, drop=True) self.draw_group(gdata, panel_params, coord, ax, **params) @staticmethod def draw_group(data, panel_params, coord, ax, **params): data = coord.transform(data, panel_params, munch=True) data['size'] *= SIZE_FACTOR constant = params.pop('constant', data['group'].nunique() == 1) if not constant: _draw_segments(data, ax, **params) else: _draw_lines(data, ax, **params) if 'arrow' in params and params['arrow']: params['arrow'].draw( data, panel_params, coord, ax, constant=constant, **params) @staticmethod def draw_legend(data, da, lyr): """ Draw a horizontal line in the box Parameters ---------- data : dataframe da : DrawingArea lyr : layer Returns ------- out : DrawingArea """ data['size'] *= SIZE_FACTOR x = [0, da.width] y = [0.5 * da.height] * 2 key = mlines.Line2D(x, y, alpha=data['alpha'], linestyle=data['linetype'], linewidth=data['size'], color=data['color'], solid_capstyle='butt', antialiased=False) da.add_artist(key) return da
[docs]class arrow: """ Define arrow (actually an arrowhead) This is used to define arrow heads for :class:`.geom_path`. Parameters ---------- angle : int | float angle in degrees between the tail a single edge. length : int | float of the edge in "inches" ends : str in ``['last', 'first', 'both']`` At which end of the line to draw the arrowhead type : str in ``['open', 'closed']`` When it is closed, it is also filled """ def __init__(self, angle=30, length=0.2, ends='last', type='open'): self.angle = angle self.length = length self.ends = ends self.type = type def draw(self, data, panel_params, coord, ax, constant=True, **params): """ Draw arrows at the end(s) of the lines Parameters ---------- data : dict plot information as required by geom.draw scales : dict x scale, y scale ax : axes On which to draw constant: bool If the path attributes vary along the way. If false, the arrows are per segment of the path """ first = self.ends in ('first', 'both') last = self.ends in ('last', 'both') data = data.sort_values('group', kind='mergesort') data['color'] = to_rgba(data['color'], data['alpha']) if self.type == 'open': data['facecolor'] = 'none' else: data['facecolor'] = data['color'] if not constant: # Get segments/points (x1, y1) -> (x2, y2) # for which to calculate the arrow heads idx1, idx2 = [], [] for _, df in data.groupby('group'): idx1.extend(df.index[:-1]) idx2.extend(df.index[1:]) d = dict( zorder=params['zorder'], rasterized=params['raster'], edgecolor=data.loc[idx1, 'color'], facecolor=data.loc[idx1, 'facecolor'], linewidth=data.loc[idx1, 'size'], linestyle=data.loc[idx1, 'linetype'] ) x1 = data.loc[idx1, 'x'].values y1 = data.loc[idx1, 'y'].values x2 = data.loc[idx2, 'x'].values y2 = data.loc[idx2, 'y'].values if first: paths = self.get_paths(x1, y1, x2, y2, panel_params, coord, ax) coll = mcoll.PathCollection(paths, **d) ax.add_collection(coll) if last: x1, y1, x2, y2 = x2, y2, x1, y1 paths = self.get_paths(x1, y1, x2, y2, panel_params, coord, ax) coll = mcoll.PathCollection(paths, **d) ax.add_collection(coll) else: d = dict( zorder=params['zorder'], rasterized=params['raster'], edgecolor=data['color'].iloc[0], facecolor=data['facecolor'].iloc[0], linewidth=data['size'].iloc[0], linestyle=data['linetype'].iloc[0], joinstyle='round', capstyle='butt' ) if first: x1, x2 = data['x'].iloc[0:2] y1, y2 = data['y'].iloc[0:2] x1, y1, x2, y2 = (np.array([i]) for i in (x1, y1, x2, y2)) paths = self.get_paths(x1, y1, x2, y2, panel_params, coord, ax) patch = mpatches.PathPatch(paths[0], **d) ax.add_artist(patch) if last: x1, x2 = data['x'].iloc[-2:] y1, y2 = data['y'].iloc[-2:] x1, y1, x2, y2 = x2, y2, x1, y1 x1, y1, x2, y2 = (np.array([i]) for i in (x1, y1, x2, y2)) paths = self.get_paths(x1, y1, x2, y2, panel_params, coord, ax) patch = mpatches.PathPatch(paths[0], **d) ax.add_artist(patch) def get_paths(self, x1, y1, x2, y2, panel_params, coord, ax): """ Compute paths that create the arrow heads Parameters ---------- x1, y1, x2, y2 : array_like List of points that define the tails of the arrows. The arrow heads will be at x1, y1. If you need them at x2, y2 reverse the input. Returns ------- out : list of Path Paths that create arrow heads """ Path = mpath.Path # Create reusable lists of vertices and codes # arrowhead path has 3 vertices (Nones), # plus dummy vertex for the STOP code verts = [None, None, None, (0, 0)] # codes list remains the same after initialization codes = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.STOP] # Slices into the vertices list slc = slice(0, 3) # We need the axes dimensions so that we can # compute scaling factors width, height = _axes_get_size_inches(ax) ranges = coord.range(panel_params) width_ = np.ptp(ranges.x) height_ = np.ptp(ranges.y) # scaling factors to prevent skewed arrowheads lx = self.length * width_/width ly = self.length * height_/height # angle in radians a = self.angle * np.pi / 180 # direction of arrow head xdiff, ydiff = x2 - x1, y2 - y1 rotations = np.arctan2(ydiff/ly, xdiff/lx) # Arrow head vertices v1x = x1 + lx * np.cos(rotations + a) v1y = y1 + ly * np.sin(rotations + a) v2x = x1 + lx * np.cos(rotations - a) v2y = y1 + ly * np.sin(rotations - a) # create a path for each arrow head paths = [] for t in zip(v1x, v1y, x1, y1, v2x, v2y): verts[slc] = [t[:2], t[2:4], t[4:]] paths.append(Path(verts, codes)) return paths
def _draw_segments(data, ax, **params): """ Draw independent line segments between all the points """ color = to_rgba(data['color'], data['alpha']) # All we do is line-up all the points in a group # into segments, all in a single list. # Along the way the other parameters are put in # sequences accordingly indices = [] # for attributes of starting point of each segment segments = [] for _, df in data.groupby('group'): idx = df.index indices.extend(idx[:-1]) # One line from two points x = data['x'].iloc[idx] y = data['y'].iloc[idx] segments.append(make_line_segments(x, y, ispath=True)) segments = np.vstack(segments) if color is None: edgecolor = color else: edgecolor = [color[i] for i in indices] linewidth = data.loc[indices, 'size'] linestyle = data.loc[indices, 'linetype'] coll = mcoll.LineCollection( segments, edgecolor=edgecolor, linewidth=linewidth, linestyle=linestyle, zorder=params['zorder'], rasterized=params['raster'] ) ax.add_collection(coll) def _draw_lines(data, ax, **params): """ Draw a path with the same characteristics from the first point to the last point """ color = to_rgba(data['color'].iloc[0], data['alpha'].iloc[0]) join_style = _get_joinstyle(data, params) lines = mlines.Line2D( data['x'], data['y'], color=color, linewidth=data['size'].iloc[0], linestyle=data['linetype'].iloc[0], zorder=params['zorder'], rasterized=params['raster'], **join_style ) ax.add_artist(lines) def _get_joinstyle(data, params): with suppress(KeyError): if params['linejoin'] == 'mitre': params['linejoin'] = 'miter' with suppress(KeyError): if params['lineend'] == 'square': params['lineend'] = 'projecting' joinstyle = params.get('linejoin', 'miter') capstyle = params.get('lineend', 'butt') d = {} if data['linetype'].iloc[0] == 'solid': d['solid_joinstyle'] = joinstyle d['solid_capstyle'] = capstyle elif data['linetype'].iloc[0] == 'dashed': d['dash_joinstyle'] = joinstyle d['dash_capstyle'] = capstyle return d def _axes_get_size_inches(ax): """ Size of axes in inches Parameters ---------- ax : axes Axes Returns ------- out : tuple[float, float] (width, height) of ax in inches """ fig = ax.get_figure() bbox = ax.get_window_extent().transformed( fig.dpi_scale_trans.inverted() ) return bbox.width, bbox.height