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@ -23,13 +23,14 @@ Box plot
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from __future__ import division |
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from pygal.graph.graph import Graph |
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from pygal.util import compute_scale, decorate |
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from math import floor |
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# TODO: Implement tooltip |
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class Box(Graph): |
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""" |
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Box plot |
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For each series, shows the median value, the 25th and 75th percentiles, and the values within |
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For each series, shows the median value, the 25th and 75th percentiles, |
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and the values within |
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1.5 times the interquartile range of the 25th and 75th percentiles. |
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See http://en.wikipedia.org/wiki/Box_plot |
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@ -41,9 +42,12 @@ class Box(Graph):
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def _compute(self): |
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""" |
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Compute parameters necessary for later steps within the rendering process |
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Compute parameters necessary for later steps |
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within the rendering process |
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""" |
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# Note: this code was copied from Bar graph |
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for serie in self.series: |
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serie.values = self._box_points(serie.values) |
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if self._min: |
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self._box.ymin = min(self._min, self.zero) |
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if self._max: |
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@ -60,7 +64,7 @@ class Box(Graph):
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) if not self.y_labels else map(float, self.y_labels) |
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self._x_labels = self.x_labels and list(zip(self.x_labels, [ |
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(i + .5) / self._len for i in range(self._len)])) |
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(i + .5) / self._order for i in range(self._order)])) |
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self._y_labels = list(zip(map(self._format, y_pos), y_pos)) |
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def _plot(self): |
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@ -74,9 +78,10 @@ class Box(Graph):
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""" |
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For a specific series, draw the box plot. |
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""" |
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# Note: q0 and q4 do not literally mean the zero-th quartile and the fourth quartile, but rather |
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# the distance from 1.5 times the inter-quartile range to Q1 and Q3, respectively. |
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q0, q1, q2, q3, q4 = self._box_points(serie.values) |
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# Note: q0 and q4 do not literally mean the zero-th quartile |
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# and the fourth quartile, but rather the distance from 1.5 times |
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# the inter-quartile range to Q1 and Q3, respectively. |
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q0, q1, q2, q3, q4 = serie.values |
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boxes = self.svg.node(serie_node['plot'], class_="boxes") |
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metadata = serie.metadata.get(0) |
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@ -89,39 +94,45 @@ class Box(Graph):
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x_center, y_center = self._draw_box(box, (q0, q1, q2, q3, q4), index) |
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self._tooltip_data(box, val, x_center, y_center, classes="centered") |
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#print(val) |
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#self._static_value(box, val, x_center, y_center) |
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def _draw_box(self, parent_node, quartiles, box_index): |
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""" |
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Return the center of a bounding box defined by a box plot. Draws a box plot on self.svg. |
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Return the center of a bounding box defined by a box plot. |
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Draws a box plot on self.svg. |
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""" |
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width = (self.view.x(1) - self.view.x(0)) / self._len |
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#x, y = self.view((x, y)) |
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width = (self.view.x(1) - self.view.x(0)) / self._order |
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series_margin = width * self._series_margin |
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#x += series_margin |
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left_edge = self.view.x(0) + width * box_index + series_margin |
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width -= 2 * series_margin |
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#height = self.view.y(y_zero) - y |
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left_edge = self.view.x(0) + width * box_index |
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# draw lines for whiskers - bottom, median, and top |
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for whisker in (quartiles[0], quartiles[2], quartiles[4]): |
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self.svg.line(parent_node, |
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coords=[(left_edge, self.view.y(whisker)), (left_edge + width, self.view.y(whisker))], |
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for i, whisker in enumerate( |
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(quartiles[0], quartiles[2], quartiles[4])): |
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whisker_width = width if i == 1 else width / 2 |
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shift = (width - whisker_width) / 2 |
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xs = left_edge + shift |
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xe = left_edge + width - shift |
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self.svg.line( |
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parent_node, |
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coords=[(xs, self.view.y(whisker)), |
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(xe, self.view.y(whisker))], |
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attrib={'stroke-width': 3}) |
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# draw lines connecting whiskers to box (Q1 and Q3) |
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self.svg.line(parent_node, |
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self.svg.line( |
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parent_node, |
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coords=[(left_edge + width / 2, self.view.y(quartiles[0])), |
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(left_edge + width / 2, self.view.y(quartiles[1]))], |
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attrib={'stroke-width': 2}) |
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self.svg.line(parent_node, |
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self.svg.line( |
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parent_node, |
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coords=[(left_edge + width / 2, self.view.y(quartiles[4])), |
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(left_edge + width / 2, self.view.y(quartiles[3]))], |
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attrib={'stroke-width': 2}) |
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# box, bounded by Q1 and Q3 |
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self.svg.node(parent_node, |
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self.svg.node( |
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parent_node, |
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tag='rect', |
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x=left_edge, |
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y=self.view.y(quartiles[1]), |
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@ -134,11 +145,13 @@ class Box(Graph):
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@staticmethod |
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def _box_points(values): |
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""" |
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Return a 5-tuple of Q1 - 1.5 * IQR, Q1, Median, Q3, and Q3 + 1.5 * IQR for a list of numeric values. |
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Return a 5-tuple of Q1 - 1.5 * IQR, Q1, Median, Q3, |
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and Q3 + 1.5 * IQR for a list of numeric values. |
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The iterator values may include None values. |
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Uses quartile definition from Mendenhall, W. and Sincich, T. L. Statistics for Engineering and the |
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Uses quartile definition from Mendenhall, W. and |
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Sincich, T. L. Statistics for Engineering and the |
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Sciences, 4th ed. Prentice-Hall, 1995. |
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""" |
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def median(seq): |
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