def plot_by_variable(details):
'''Plot each .csv files under @plot_node as a line on a shared plot.'''
builder = ColMapBuilder()
config_nodes = []
# Decode file names into configuration dicts
for line_path, line_node in details.node.children.iteritems():
encoded = line_path[:line_path.index(".csv")]
try:
line_config = ColMap.decode(encoded)
except:
line_config = {'name': encoded}
for k, v in line_config.iteritems():
builder.try_add(k, v)
config_nodes += [(line_config, line_node)]
col_map = builder.build()
style_map = make_styler(col_map)
figure = plot.figure()
axes = figure.add_subplot(111)
# Create a line for each file node and its configuration
for line_config, line_node in config_nodes:
style = style_map.get_style(line_config)
values = sorted(line_node.values, key=lambda tup: tup[0])
xvalues, yvalues = zip(*values)
plot.plot(xvalues, yvalues, style.fmt())
axes.set_title(details.title)
lines, labels = zip(*style_map.get_key())
axes.legend(
tuple(lines),
tuple(labels),
prop={'size': 10},
# This code places the legend slightly to the right of the plot
bbox_to_anchor=(1.05, 1),
loc=2,
borderaxespad=0.0)
axes.set_ylabel(details.value)
axes.set_xlabel(details.variable)
axes.set_xlim(0, axes.get_xlim()[1])
axes.set_ylim(0, axes.get_ylim()[1])
plot.savefig(
details.out,
format=OUT_FORMAT,
# Using 'tight' causes savefig to rescale the image for non-plot
# artists, which in our case is just the legend
bbox_inches='tight')
return True
def plot_by_variable(details):
'''Plot each .csv files under @plot_node as a line on a shared plot.'''
builder = ColMapBuilder()
config_nodes = []
# Decode file names into configuration dicts
for line_path, line_node in details.node.children.iteritems():
encoded = line_path[:line_path.index(".csv")]
try:
line_config = ColMap.decode(encoded)
except:
line_config = {'name': encoded}
for k, v in line_config.iteritems():
builder.try_add(k, v)
config_nodes += [(line_config, line_node)]
col_map = builder.build()
style_map = make_styler(col_map)
figure = plot.figure()
axes = figure.add_subplot(111)
# Create a line for each file node and its configuration
for line_config, line_node in config_nodes:
style = style_map.get_style(line_config)
values = sorted(line_node.values, key=lambda tup: tup[0])
xvalues, yvalues = zip(*values)
plot.plot(xvalues, yvalues, style.fmt())
axes.set_title(details.title)
lines, labels = zip(*style_map.get_key())
axes.legend(tuple(lines), tuple(labels), prop={'size':10},
# This code places the legend slightly to the right of the plot
bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0)
axes.set_ylabel(details.value)
axes.set_xlabel(details.variable)
axes.set_xlim(0, axes.get_xlim()[1])
axes.set_ylim(0, axes.get_ylim()[1])
plot.savefig(details.out, format=OUT_FORMAT,
# Using 'tight' causes savefig to rescale the image for non-plot
# artists, which in our case is just the legend
bbox_inches='tight')
return True
def plot_by_variable(details):
'''Plot each .csv files under @plot_node as a line on a shared plot.'''
builder = ColMapBuilder()
config_nodes = []
# Generate mapping of (column)=>(line property to vary) for consistently
# formatted plots
for line_path, line_node in details.node.children.iteritems():
encoded = line_path[:line_path.index(".csv")]
try:
line_config = ColMap.decode(encoded)
except:
line_config = {'name': encoded}
for k, v in line_config.iteritems():
builder.try_add(k, v)
config_nodes += [(line_config, line_node)]
col_map = builder.build()
style_map = StyleMap(col_map.columns(), col_map.get_values())
figure = plot.figure()
axes = figure.add_subplot(111)
# Create a line for each file node and its configuration
for line_config, line_node in config_nodes:
# Create line style to match this configuration
style = style_map.get_style(line_config)
values = sorted(line_node.values, key=lambda tup: tup[0])
xvalues, yvalues = zip(*values)
plot.plot(xvalues, yvalues, style.fmt())
axes.set_title(details.title)
lines, labels = zip(*style_map.get_key())
axes.legend(tuple(lines), tuple(labels), prop={'size':10})
axes.set_ylabel(details.value)
axes.set_xlabel(details.variable)
axes.set_xlim(0, axes.get_xlim()[1] + 1)
axes.set_ylim(0, axes.get_ylim()[1] + 1)
plot.savefig(details.out, format=OUT_FORMAT)
return True
