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tests/testing now is importable, but still generates the samples when run

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Jason R. Coombs 14 years ago
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92313c9931
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1 changed files with 150 additions and 127 deletions
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  1. 277
      tests/testing.py

277
tests/testing.py
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@ -1,133 +1,156 @@
import sys, os
from svg.charts.plot import Plot
g = Plot({
'min_x_value': 0,
'min_y_value': 0,
'area_fill': True,
'stagger_x_labels': True,
'stagger_y_labels': True,
'show_x_guidelines': True
})
g.add_data({'data': [1, 25, 2, 30, 3, 45], 'title': 'series 1'})
g.add_data({'data': [1,30, 2, 31, 3, 40], 'title': 'series 2'})
g.add_data({'data': [.5,35, 1, 20, 3, 10.5], 'title': 'series 3'})
res = g.burn()
f = open(r'Plot.py.svg', 'w')
f.write(res)
f.close()
from svg.charts import time_series
g = time_series.Plot({})
g.timescale_divisions = '4 hours'
g.stagger_x_labels = True
g.x_label_format = '%d-%b %H:%M'
#g.max_y_value = 200
g.add_data({'data': ['2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21], 'title': 'series 1'})
res = g.burn()
f = open(r'TimeSeries.py.svg', 'w')
f.write(res)
f.close()
from svg.charts.plot import Plot
from svg.charts import bar
fields = ['Internet', 'TV', 'Newspaper', 'Magazine', 'Radio']
g = bar.VerticalBar(fields)
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
open(r'VerticalBar.py.svg', 'w').write(g.burn())
g = bar.HorizontalBar(fields)
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
open(r'HorizontalBar.py.svg', 'w').write(g.burn())
g = bar.VerticalBar(fields)
options = dict(
scale_integers=True,
stack='side',
width=640,
height=480,
graph_title='Question 8',
show_graph_title=True,
no_css=False,)
g.__dict__.update(options)
g.add_data(dict(data=[2,22,98,143,82], title='intermediate'))
g.add_data(dict(data=[2,26,106,193,105], title='old'))
open('VerticalBarLarge.py.svg', 'w').write(g.burn())
from svg.charts import time_series
from svg.charts import pie
g = pie.Pie({})
options = dict(
width=640,
height=480,
fields=fields,
graph_title='Question 7',
expand_greatest = True,
show_data_labels = True,
)
g.__dict__.update(options)
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
open('Pie.py.svg', 'w').write(g.burn())
from svg.charts import schedule
title = "Billy's Schedule"
data1 = [
"History 107", "5/19/04", "6/30/04",
"Algebra 011", "6/2/04", "8/11/04",
"Psychology 101", "6/28/04", "8/9/04",
"Acting 105", "7/7/04", "8/16/04"
]
g = schedule.Schedule(dict(
width = 640,
height = 480,
graph_title = title,
show_graph_title = True,
key = False,
scale_x_integers = True,
scale_y_integers = True,
show_data_labels = True,
show_y_guidelines = False,
show_x_guidelines = True,
# show_x_title = True, # not yet implemented
x_title = "Time",
show_y_title = False,
rotate_x_labels = True,
rotate_y_labels = False,
x_label_format = "%m/%d",
timescale_divisions = "1 week",
add_popups = True,
popup_format = "%m/%d/%y",
area_fill = True,
min_y_value = 0,
))
g.add_data(dict(data=data1, title="Data"))
f = open('Schedule.py.svg', 'w').write(g.burn())
def sample_Plot():
g = Plot({
'min_x_value': 0,
'min_y_value': 0,
'area_fill': True,
'stagger_x_labels': True,
'stagger_y_labels': True,
'show_x_guidelines': True
})
g.add_data({'data': [1, 25, 2, 30, 3, 45], 'title': 'series 1'})
g.add_data({'data': [1,30, 2, 31, 3, 40], 'title': 'series 2'})
g.add_data({'data': [.5,35, 1, 20, 3, 10.5], 'title': 'series 3'})
return g
def sample_TimeSeries():
g = time_series.Plot({})
g.timescale_divisions = '4 hours'
g.stagger_x_labels = True
g.x_label_format = '%d-%b %H:%M'
#g.max_y_value = 200
g.add_data({'data': ['2005-12-21T00:00:00', 20, '2005-12-22T00:00:00', 21], 'title': 'series 1'})
return g
def generate_samples():
yield 'Plot', sample_Plot()
yield 'TimeSeries', sample_TimeSeries()
yield 'VerticalBar', SampleBar.vertical()
yield 'HorizontalBar', SampleBar.horizontal()
yield 'VerticalBarLarge', SampleBar.vertical_large()
yield 'Pie', sample_Pie()
class SampleBar:
fields = ['Internet', 'TV', 'Newspaper', 'Magazine', 'Radio']
@classmethod
def vertical(cls):
g = bar.VerticalBar(cls.fields)
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
@classmethod
def horizontal(cls):
g = bar.HorizontalBar(cls.fields)
g.stack = 'side'
g.scale_integers = True
g.width, g.height = 640,480
g.graph_title = 'Question 7'
g.show_graph_title = True
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
@classmethod
def vertical_large(cls):
g = bar.VerticalBar(cls.fields)
options = dict(
scale_integers=True,
stack='side',
width=640,
height=480,
graph_title='Question 8',
show_graph_title=True,
no_css=False,)
g.__dict__.update(options)
g.add_data(dict(data=[2,22,98,143,82], title='intermediate'))
g.add_data(dict(data=[2,26,106,193,105], title='old'))
return g
def sample_Pie():
g = pie.Pie({})
options = dict(
width=640,
height=480,
fields=SampleBar.fields,
graph_title='Question 7',
expand_greatest = True,
show_data_labels = True,
)
g.__dict__.update(options)
g.add_data({'data': [-2, 3, 1, 3, 1], 'title': 'Female'})
g.add_data({'data': [0, 2, 1, 5, 4], 'title': 'Male'})
return g
def sample_Schedule():
title = "Billy's Schedule"
data1 = [
"History 107", "5/19/04", "6/30/04",
"Algebra 011", "6/2/04", "8/11/04",
"Psychology 101", "6/28/04", "8/9/04",
"Acting 105", "7/7/04", "8/16/04"
]
g = schedule.Schedule(dict(
width = 640,
height = 480,
graph_title = title,
show_graph_title = True,
key = False,
scale_x_integers = True,
scale_y_integers = True,
show_data_labels = True,
show_y_guidelines = False,
show_x_guidelines = True,
# show_x_title = True, # not yet implemented
x_title = "Time",
show_y_title = False,
rotate_x_labels = True,
rotate_y_labels = False,
x_label_format = "%m/%d",
timescale_divisions = "1 week",
add_popups = True,
popup_format = "%m/%d/%y",
area_fill = True,
min_y_value = 0,
))
g.add_data(dict(data=data1, title="Data"))
return g
def save_samples():
root = os.path.dirname(__file__)
for sample_name, sample in generate_samples():
res = sample.burn()
with open(os.path.join(root, sample_name+'.py.svg'), 'w') as f:
f.write(res)
if __name__ == '__main__':
save_samples()

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