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")
if __name__ == "__main__":
data, error = common.mock_experiment(".scatter_experiment", 3, 3)
series_order = []
steps = []
keys = []
for step in data.keys():
steps.append(step)
for key in data[step].keys():
keys.append(key)
steps = set(steps)
keys = set(keys)
steps = list(steps)
keys = list(keys)
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")
if __name__ == "__main__":
data, error = common.mock_experiment( ".bar_experiment", 3, 3 )
bar_order = []
steps = []
keys = []
for step in data.keys():
steps.append(step)
for key in data[step].keys():
keys.append(key)
steps = set(steps)
keys = set(keys)
steps = list(steps)
keys = list(keys)
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")
if __name__ == "__main__":
data, error = common.mock_experiment(".bar_experiment", 3, 3)
bar_order = []
steps = []
keys = []
for step in data.keys():
steps.append(step)
for key in data[step].keys():
keys.append(key)
steps = set(steps)
keys = set(keys)
steps = list(steps)
keys = list(keys)
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")
if __name__ == "__main__":
data, error = common.mock_experiment( ".scatter_experiment", 3, 3 )
series_order = []
steps = []
keys = []
for step in data.keys():
steps.append(step)
for key in data[step].keys():
keys.append(key)
steps = set(steps)
keys = set(keys)
steps = list(steps)
keys = list(keys)