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bzr revid: pinky-3f10ee12cea3c4c75cef44ab04ad33ef47432907
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pinky
2006-12-07 13:41:40 +00:00
commit 004a0b996f
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bin/pychart/rose_plot.py
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#
# Copyright (C) 2000-2005 by Yasushi Saito (yasushi.saito@gmail.com)
#
# Jockey is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 2, or (at your option) any
# later version.
#
# Jockey is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
# for more details.
#
import canvas
import fill_style
import line_style
import pychart_util
import chart_object
import legend
import font
import color
from pychart_types import *
class T(chart_object.T):
"""Plots sector diagram which can be superimposed on one another.
Sector diagrams are also known as wind roses"""
keys = {
"start_angle" : (NumType, 90, ""), # top of chart (north)
"center" : (CoordType, None, ""),
"base_radius" : (NumType, None, ""),
"line_style" : (line_style.T, line_style.T(color=color.black, width=0.3), ""),
"fill_styles" : (list, fill_style.standards.list()[:],
"""The fill style of each item. The length of the
list should be equal to the length of the data.
"""),
"sector_centred":(int, 1,
"""Bool indicating whether the sectors should be centred on each sector_width(e.g. on 0)"""),
"dir_offset": (UnitType, None,
"""The distance between the directions and the outermost circle. Defaults fine for most cases"""),
"data" : (AnyType, None, pychart_util.data_desc),
"label_col" : (int, 0,
"""The column, within "data", from which the labels of items are retrieved."""),
"data_col": (int, 1,
""" The column, within "data", from which the data values are retrieved."""),
"dir_line_style": (line_style.T, None, ""),
"dir_fill_style": (fill_style.T, fill_style.default, ""),
"shadow": (ShadowType, None, pychart_util.shadow_desc),
"sector_width": (int, None, ""), # automatically generated
}
def __init__(self, colour=True, **args):
chart_object.T.init(self, args)
if colour:
# the theme.color flag does not seem to affect the fill_style.standards,
#besides, I want the first two colors to resemble those of gnuplot's postscript terminal
self.fill_styles = [fill_style.Plain(bgcolor=color.red),
fill_style.Plain(bgcolor=color.green),
fill_style.Plain(bgcolor=color.blue),
fill_style.Plain(bgcolor=color.magenta)]
def check_integrity(self):
nSectors = len(self.data[0][self.data_col])
if (360%nSectors != 0):
raise Exception('Length of dataset ' + str(nSectors) + ' not a divisor of 360 degrees!')
for dataset in self.data:
length = len(dataset[self.data_col])
if length != nSectors:
raise Exception('Lengths of datasets given is different!')
for val in dataset[self.data_col]:
if (val < 0) | (val > 1):
raise Exception('Data value ' + str(val) + ' not between 0 and 1!')
self.sector_width = 360/nSectors
self.type_check()
def get_data_range(self, which):
return (0, 1)
def get_legend_entry(self):
legends = []
i = 0
for dataset in self.data:
fill = self.fill_styles[i]
i = (i + 1) % len(self.fill_styles)
legends.append(legend.Entry(line_style=self.line_style,
fill_style=fill,
label=dataset[self.label_col]))
return legends
def draw(self, ar, can):
center = self.center
if not center:
center = (ar.loc[0] + ar.size[0]/2.0,
ar.loc[1] + ar.size[1]/2.0)
base_radius = self.base_radius # the maximum radius of a wedge
if not base_radius:
base_radius = min(ar.size[0]/2.0, ar.size[1]/2.0) #* 0.8
sector_decrement = 1./(len(self.data)*2) * self.sector_width # each following sector diagram will have its sector width decremented by half this amount (in degrees)
i = 0
for dataset in self.data:
cur_angle = self.start_angle
if self.sector_centred:
cur_angle -= self.sector_width/2.
fill = self.fill_styles[i]
x_center = center[0]
y_center = center[1]
if not i: # draw directions around sector diagram once off
dir_offset = base_radius + (self.dir_offset or base_radius * 0.04)
directions = ['N', 'E', 'S', 'W']
angle = self.start_angle
can.ellipsis(line_style.T(color=color.black, width=0.3, dash=line_style.dash1), None,
x_center, y_center, base_radius, 1,
0, 360) #
for d in directions:
x_label, y_label = pychart_util.rotate(dir_offset, 0, angle) # coords for bottom left corner of box
tw = font.text_width(d)
half = 1/3. # normal arithmetic does not seem to apply to these text_box objects...
if (angle == 0): # east
y_label -= font.text_height(d)[0]*half # move down half
elif (angle == -180): # west
y_label -= font.text_height(d)[0]*half # move down half
x_label -= font.text_width(d) # move left full
elif (angle == 90): # north
x_label -= font.text_height(d)[0]*half # move left half
elif (angle == -90): # south
y_label -= font.text_height(d)[0]*.8 # move down (couldn't figure out how to set this dynamically so I fudged...)
x_label -= font.text_height(d)[0]*half # move left half
canvas.show(x_label + x_center, y_label + y_center, d)
angle -= 360/len(directions)
for val in dataset[self.data_col]: # now draw the sectors
radius = base_radius*val # scale the radius
start = cur_angle-self.sector_width+i*sector_decrement
stop = cur_angle-i*sector_decrement # these may seem confusing, but remember that we need to go counterclockwise
can.ellipsis(self.line_style, fill,
x_center, y_center, radius, 1, start, stop, self.shadow)
cur_angle = (cur_angle - self.sector_width) % 360 # we want to go in anticlockwise direction (North, West, South, etc. as in meteorology)
i = (i + 1) % len(self.fill_styles)