def plot_graph_3(self, d, picture_filename):
"""
time in is row[2]
time out is row[4]
minutes_spanded is row[6]
"""
import sys
sys.path.append('/opt/local/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages')
import cairo
import cairoplot
from random import random
self.write_report('graph_3.html', {'graph_3_date': d})
v_legend = map(str, range(25))
graph_3_data = [row for row in self.filter_rows(d, d) if self.is_service(row)]
if not graph_3_data:
cairoplot.gantt_chart(picture_filename, [[(5,19)]], 1000, 900, ['no_data',], v_legend, [(1,0,0),])
print 'graph 3 successfully plotted. no data'
return
unique_ids = set([row[0] for row in graph_3_data])
grouped_data = {}
# bug or feature of cairoplot:
# if there was one time_in_out for each id - we should
# wrap each time_in_out pair in list, ex. [[(3, 6)], [(8, 12)]]
# else: we should not
# that's why we use several_mode flag
several_mode = False
for client_id in unique_ids:
client_id_rows = [row for row in graph_3_data if row[0] == client_id]
if len(client_id_rows) > 1:
several_mode = True
time_in_out = [self.get_time_in_out_pair(row) for row in client_id_rows]
else:
time_in_out = self.get_time_in_out_pair(client_id_rows[0])
grouped_data[client_id] = time_in_out
if several_mode:
pieces = grouped_data.values()
else:
pieces = map(lambda x: [x], grouped_data.values())
h_legend = map(lambda x: 'id ' + x, grouped_data.keys())
colors = [(random(), random(), random()) for piece in pieces]
cairoplot.gantt_chart(picture_filename, pieces, 1000, 900, h_legend, v_legend, colors)
print 'graph 3 successfully plotted'
background.add_color_stop_rgb(0,0.4,0.4,0.4)
background.add_color_stop_rgb(1.0,0.1,0.1,0.1)
data = {"john" : 700, "mary" : 100, "philip" : 100 , "suzy" : 50, "yman" : 50}
#Default plot, gradient and shadow, different background
cairoplot.donut_plot( "donut_1_default_series.png", data, 600, 400, inner_radius = 0.3 )
cairoplot.donut_plot( "donut_2_gradient_shadow_series.png", data, 600, 400, gradient = True, shadow = True, inner_radius = 0.3 )
cairoplot.donut_plot( "donut_3_background_series.png", data, 600, 400, background = background, gradient = True, shadow = True, inner_radius = 0.3 )
if test_gantt_chart :
#Default Plot
pieces = Series([(0.5, 5.5), [(0, 4), (6, 8)], (5.5, 7), (7, 9)])
x_labels = [ 'teste01', 'teste02', 'teste03', 'teste04']
y_labels = [ '0001', '0002', '0003', '0004', '0005', '0006', '0007', '0008', '0009', '0010' ]
colors = [ (1.0, 0.0, 0.0), (1.0, 0.7, 0.0), (1.0, 1.0, 0.0), (0.0, 1.0, 0.0) ]
cairoplot.gantt_chart('gantt_1_default_series.png', pieces, 500, 350, x_labels, y_labels, colors)
if test_themes :
data = Series([[1,2,3,4,5,6,7,8,9,10,11,12,13,14]])
cairoplot.vertical_bar_plot ( 'bar_1_color_themes_series.png', data, 400, 300, border = 20, grid = True, colors="rainbow" )
data = Series([[1,2,3,4,5,6,7,8,9,10,11,12,13,14]])
cairoplot.vertical_bar_plot ( 'bar_2_color_themes_series.png', data, 400, 300, background = "white light_gray", border = 20, grid = True, colors="rainbow" )
data = Series()
data.range = (0,10,0.1)
data.group_list = [ lambda x : 1, lambda y : y**2, lambda z : -z**2 ]
cairoplot.function_plot( 'function_color_themes_series.png', data, 400, 300, grid = True, series_colors = ["red", "orange", "yellow"], step = 0.1 )
#Scatter x DotLine
t = [x*0.1 for x in range(0,40)]
