def make_lines(aggregate,
yerror_aggregate=None,
series_order=None,
x_labels=None,
x_ticks=None,
series_labels=False,
point_yoffs=None,
legend_labels=None,
styles=None,
title="Title",
xlabel="X",
ylabel="Y",
x_range=None,
y_range=None,
y_res=None,
legend_pos=None,
x_log=False,
y_log=False):
if series_order == None:
series_order = common.graph_default_order(aggregate)
y_data_series, yerror_series = common.graph_series(aggregate,
yerror_aggregate,
series_order)
x_data_series = None
if x_ticks != None:
x_data_series = x_ticks
else:
x_data_series = range(0, len(y_data_series))
data_series = []
yerror = []
for i in xrange(0, len(y_data_series[0])):
data_series.append([])
yerror.append([])
for i in xrange(0, len(y_data_series)):
xs = [i] * len(y_data_series[i])
pts = zip(xs, y_data_series[i])
k = 0
for j in xrange(0, len(data_series)):
data_series[j].append(pts[k])
yerror[j].append(yerror_series[j][k])
k += 1
fig = plt.figure()
ax = fig.add_subplot(111)
lines = []
if styles == None:
styles = default_styles(len(data_series))
for i in xrange(0, len(data_series)):
x_series = [x for (x, y) in data_series[i]]
y_series = [y for (x, y) in data_series[i]]
style = 'k'
if styles != None:
if styles[i] != None:
style = styles[i]
ll, = ax.plot(x_series, y_series, style, markersize=10)
lines.append(ll)
if yerror != None:
if yerror[i] != None:
ax.errorbar(x_series, y_series, yerr=yerror[i])
# apply labels
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.set_title(title)
if legend_labels == None:
legend_labels = common.graph_legend_labels(series_order)
if legend_labels != None:
kwargs = {}
if legend_pos != None:
kwargs['loc'] = legend_pos
ax.legend(lines, legend_labels, **kwargs)
if x_ticks == None:
x_ticks = x_data_series
if x_labels == None:
x_labels = [str(x) for x in x_ticks]
if x_labels != None and x_ticks != None:
ax.set_xticks(x_ticks)
ax.set_xticklabels(x_labels)
ax.autoscale()
if y_res != None and y_range != None:
ax.set_yticks(np.arange(y_range[0], y_range[1], y_res))
if x_range != None:
ax.set_autoscalex_on(False)
ax.set_xlim([x_range[0], x_range[1]])
if y_range != None:
ax.set_autoscaley_on(False)
ax.set_ylim([y_range[0], y_range[1]])
# label points
if series_labels:
j = 0
for ll in lines:
x_series = ll.get_xdata()
y_series = ll.get_ydata()
i = 0
for (x, y) in zip(x_series, y_series):
yoff = y
if point_yoffs:
yoff = y + point_yoffs[j][i]
i += 1
ax.text(x, yoff, '%3.2f' % float(y), ha='left', va='bottom')
j += 1
if x_log:
ax.set_xscale('log')
if y_log:
ax.set_yscale('log', nonposy="clip")
def make_bars( aggregate, yerror_aggregate=None, series_order=None, x_labels=None, legend_labels=None, legend_cols=None, legend_pos=None, series_labels=False, hatches=None, colors=None, title="Title", xlabel="X", ylabel="Y", x_range=None, y_range=None, y_res=None, x_log=False, y_log=False ):
# aggregate = {step: {key: [method_result_1, method_result_2, ...], ...}, ...}
# yerror_aggregate = {step: {key: [yerror_1, yerror_2, ...], ...}, ...}
# series_order = [(step1, key1), (step2, key2), ...]
# extract data series into [[bar11, bar12, bar13, ...], [bar21, bar22, bar23, ...], ...]
# extract yerror series into [[yerror11, yerror12, yerror13, ...], [yerror21, yerror22, yerror23, ...], ...]
if series_order == None:
series_order = common.graph_default_order( aggregate )
if legend_labels == None:
legend_labels = common.graph_legend_labels( series_order )
data_series, yerror_series = common.graph_series( aggregate, yerror_aggregate, series_order )
width = 0.8 / len(data_series)
N = len(data_series[0])
ind = np.arange(N)
fig = plt.figure()
ax = fig.add_subplot( 111 )
rects = []
y_max = 0
for op in data_series:
y_max = max( y_max, max(op) )
if hatches == None and colors == None:
hatches = default_hatches( len(data_series) )
if colors == None:
colors = default_colors( len(data_series) )
for i in xrange(0,len(data_series)):
rect = None
kwargs = {}
if yerror_series != None:
if yerror_series[i] != None:
kwargs['yerr'] = yerror_series[i]
if hatches != None:
if hatches[i] != None:
kwargs['hatch'] = hatches[i]
if colors != None:
if colors[i] != None:
kwargs['color'] = colors[i]
rect = ax.bar( ind + i * width, data_series[i], width, log=y_log, **kwargs )
rects.append( rect )
# apply labels
ax.set_xlabel( xlabel )
ax.set_ylabel( ylabel )
ax.set_title( title )
if legend_labels != None:
kwargs={}
if legend_pos != None:
kwargs['loc'] = legend_pos
if legend_cols != None:
kwargs['ncol'] = legend_cols
ax.legend( rects, legend_labels, **kwargs )
if x_labels != None:
ax.set_xticks( ind + width * len(data_series) / 2.0 )
ax.set_xticklabels( x_labels )
ax.autoscale()
if y_res != None and y_range != None:
ax.set_yticks( np.arange(y_range[0], y_range[1], y_res) )
# label bars
if series_labels:
for rect_series in rects:
for rect in rect_series:
height = rect.get_height()
y_off = 0
if y_log:
y_off = height * 1.05
else:
y_off = height + y_max * 0.005
ax.text( rect.get_x() + rect.get_width() / 2.0, y_off, '%3.2f' % float(height), ha = 'center', va = 'bottom' )
if x_range != None:
ax.set_autoscalex_on(False)
ax.set_xlim( [x_range[0], x_range[1]] )
if y_range != None:
ax.set_autoscaley_on(False)
ax.set_ylim( [y_range[0], y_range[1]] )
if x_log:
ax.set_xscale('log')
if y_log:
ax.set_yscale('log', nonposy="clip")
def make_bars(aggregate,
yerror_aggregate=None,
series_order=None,
x_labels=None,
legend_labels=None,
legend_cols=None,
legend_pos=None,
series_labels=False,
hatches=None,
colors=None,
title="Title",
xlabel="X",
ylabel="Y",
x_range=None,
y_range=None,
y_res=None,
x_log=False,
y_log=False):
# aggregate = {step: {key: [method_result_1, method_result_2, ...], ...}, ...}
# yerror_aggregate = {step: {key: [yerror_1, yerror_2, ...], ...}, ...}
# series_order = [(step1, key1), (step2, key2), ...]
# extract data series into [[bar11, bar12, bar13, ...], [bar21, bar22, bar23, ...], ...]
# extract yerror series into [[yerror11, yerror12, yerror13, ...], [yerror21, yerror22, yerror23, ...], ...]
if series_order == None:
series_order = common.graph_default_order(aggregate)
if legend_labels == None:
legend_labels = common.graph_legend_labels(series_order)
data_series, yerror_series = common.graph_series(aggregate,
yerror_aggregate,
series_order)
width = 0.8 / len(data_series)
N = len(data_series[0])
ind = np.arange(N)
fig = plt.figure()
ax = fig.add_subplot(111)
rects = []
y_max = 0
for op in data_series:
y_max = max(y_max, max(op))
if hatches == None and colors == None:
hatches = default_hatches(len(data_series))
if colors == None:
colors = default_colors(len(data_series))
for i in xrange(0, len(data_series)):
rect = None
kwargs = {}
if yerror_series != None:
if yerror_series[i] != None:
kwargs['yerr'] = yerror_series[i]
if hatches != None:
if hatches[i] != None:
kwargs['hatch'] = hatches[i]
if colors != None:
if colors[i] != None:
kwargs['color'] = colors[i]
rect = ax.bar(ind + i * width,
data_series[i],
width,
log=y_log,
**kwargs)
rects.append(rect)
# apply labels
ax.set_xlabel(xlabel)
ax.set_ylabel(ylabel)
ax.set_title(title)
if legend_labels != None:
kwargs = {}
if legend_pos != None:
kwargs['loc'] = legend_pos
if legend_cols != None:
kwargs['ncol'] = legend_cols
ax.legend(rects, legend_labels, **kwargs)
if x_labels != None:
ax.set_xticks(ind + width * len(data_series) / 2.0)
ax.set_xticklabels(x_labels)
ax.autoscale()
if y_res != None and y_range != None:
ax.set_yticks(np.arange(y_range[0], y_range[1], y_res))
# label bars
if series_labels:
for rect_series in rects:
for rect in rect_series:
height = rect.get_height()
y_off = 0
if y_log:
y_off = height * 1.05
else:
y_off = height + y_max * 0.005
ax.text(rect.get_x() + rect.get_width() / 2.0,
y_off,
'%3.2f' % float(height),
ha='center',
va='bottom')
if x_range != None:
ax.set_autoscalex_on(False)
ax.set_xlim([x_range[0], x_range[1]])
if y_range != None:
ax.set_autoscaley_on(False)
ax.set_ylim([y_range[0], y_range[1]])
if x_log:
ax.set_xscale('log')
if y_log:
ax.set_yscale('log', nonposy="clip")
def make_lines( aggregate, yerror_aggregate=None, series_order=None, x_labels=None, x_ticks=None, series_labels=False, point_yoffs=None, legend_labels=None, styles=None, title="Title", xlabel="X", ylabel="Y", x_range=None, y_range=None, y_res=None, legend_pos=None, x_log=False, y_log=False ):
if series_order == None:
series_order = common.graph_default_order( aggregate )
y_data_series, yerror_series = common.graph_series( aggregate, yerror_aggregate, series_order )
x_data_series = None
if x_ticks != None:
x_data_series = x_ticks
else:
x_data_series = range(0, len(y_data_series))
data_series = []
yerror = []
for i in xrange(0, len(y_data_series[0])):
data_series.append( [] )
yerror.append( [] )
for i in xrange(0, len(y_data_series)):
xs = [i] * len(y_data_series[i])
pts = zip(xs, y_data_series[i])
k = 0
for j in xrange(0,len(data_series)):
data_series[j].append( pts[k] )
yerror[j].append( yerror_series[j][k] )
k += 1
fig = plt.figure()
ax = fig.add_subplot( 111 )
lines = []
if styles == None:
styles = default_styles( len(data_series) )
for i in xrange(0,len(data_series)):
x_series = [x for (x,y) in data_series[i]]
y_series = [y for (x,y) in data_series[i]]
style = 'k'
if styles != None:
if styles[i] != None:
style = styles[i]
ll, = ax.plot( x_series, y_series, style, markersize=10 )
lines.append(ll)
if yerror != None:
if yerror[i] != None:
ax.errorbar( x_series, y_series, yerr=yerror[i] )
# apply labels
ax.set_xlabel( xlabel )
ax.set_ylabel( ylabel )
ax.set_title( title )
if legend_labels == None:
legend_labels = common.graph_legend_labels( series_order )
if legend_labels != None:
kwargs={}
if legend_pos != None:
kwargs['loc'] = legend_pos
ax.legend( lines, legend_labels, **kwargs )
if x_ticks == None:
x_ticks = x_data_series
if x_labels == None:
x_labels = [str(x) for x in x_ticks]
if x_labels != None and x_ticks != None:
ax.set_xticks( x_ticks )
ax.set_xticklabels( x_labels )
ax.autoscale()
if y_res != None and y_range != None:
ax.set_yticks( np.arange(y_range[0], y_range[1], y_res) )
if x_range != None:
ax.set_autoscalex_on(False)
ax.set_xlim( [x_range[0], x_range[1]] )
if y_range != None:
ax.set_autoscaley_on(False)
ax.set_ylim( [y_range[0], y_range[1]] )
# label points
if series_labels:
j=0
for ll in lines:
x_series = ll.get_xdata()
y_series = ll.get_ydata()
i = 0
for (x,y) in zip(x_series, y_series):
yoff = y
if point_yoffs:
yoff = y + point_yoffs[j][i]
i+=1
ax.text( x, yoff, '%3.2f' % float(y), ha = 'left', va = 'bottom' )
j+=1
if x_log:
ax.set_xscale('log')
if y_log:
ax.set_yscale('log', nonposy="clip")