def show_from_function(self,
function,
xmin,
xmax,
discr,
xlabel="",
ylabel=""):
""" Plot mathematic function
Parameters
----------
function : str
the mathematic function
xmin : int
the x min
xmax : int
the x max
discr : int
the discretization of the interval between xmin and xmax
xlabel : str
the name of the x label
ylabel : str
the name of the y label
"""
logger.log(logging.INFO, "[CliHandler] Plot function " + function)
fig, ax = plt.subplots()
graph_clear(ax)
graph_from_function(ax, function, xmin, xmax, discr, xlabel, ylabel)
plt.show()
def show_diff_from_fieldnames(self,
x_fieldname,
y_fieldnames,
values=False):
""" Plot difference between two graph from fieldnames in a plt matplotlib object
Parameters
----------
x_fieldname : str
the fieldname of the x-axis variable to plot
y_fieldnames : list(str)
the list of fieldname of the y-axis variable for the two plot to compare
values : boolean
display the diff values on the graph
"""
if self.__data_manager is not None:
logger.log(
logging.INFO, "[CliHandler] Show from field names " +
x_fieldname + " " + str(y_fieldnames))
fig, ax = plt.subplots()
graph_clear(ax)
graph_compare_plot_from_fieldnames(ax, self.__data_manager,
x_fieldname, y_fieldnames)
if values:
graph_compare_plot_values_from_fieldnames(
ax, self.__data_manager, x_fieldname, y_fieldnames, 0.1,
True)
plt.show()
else:
logger.log(logging.INFO, "[CliHandler] No data to show")
def on_list_select(self, evt=None):
""" Display plots when plots are selected in the list (triggered by event on the list) """
graph_clear(self.__graph)
plot_ids = []
for idx in self.__plot_list.curselection():
plot_ids.append(self.__plot_list.get(idx))
if len(self.__plot_list.curselection()) == 2:
self.__compare_button['state'] = 'normal'
else:
self.__compare_button['state'] = 'disabled'
if len(plot_ids) > 0:
graph_from_plot_ids(self.__graph, plot_ids,
self.__marker_combo.get(),
self.__line_combo.get(),
float(self.__entry_line_width.get()))
self.__canvas.draw()
else:
self.clear_all_plots()
def display(self):
""" Display in the graph frame """
graph_clear(self.__graph)
if self.__chkbx_g.get():
graph_compare_plot(self.__graph, self.__plots[0], self.__plots[1],
self.__marker, self.__linestyle,
self.__linewidth)
if self.__chkbx_d.get():
graph_compare_plot_diff(self.__graph, self.__plots[0],
self.__plots[1], self.__marker,
self.__linestyle, self.__linewidth)
if self.__chkbx_v.get():
graph_compare_plot_values(self.__graph, self.__plots[0],
self.__plots[1],
float(self.__entry_threshold.get()),
bool(self.__chkbx_d.get()),
int(self.__entry_round.get()))
self.__canvas.draw()
def show_from_fieldnames(self, x_fieldname, y_fieldnames):
""" Plot multiple data from fieldnames in a plt matplotlib object
Parameters
----------
x_fieldname : str
the fieldname of the x-axis variable to plot
y_fieldnames : list(str)
the list of fieldname of the y-axis variable to plot
"""
if self.__data_manager is not None:
logger.log(
logging.INFO, "[CliHandler] Show from field names " +
x_fieldname + " " + str(y_fieldnames))
fig, ax = plt.subplots()
graph_clear(ax)
graph_from_fieldnames(ax, self.__data_manager, x_fieldname,
y_fieldnames)
plt.show()
else:
logger.log(logging.INFO, "[CliHandler] No data to show")
def clear(self):
""" Clear the graph frame """
graph_clear(self.__graph)
self.__canvas.draw()
def clear_all_plots(self):
""" Clear/reset the plot frame """
logger.log(logging.INFO, "[PlotFrame] Clear all plots")
graph_clear(self.__graph)
self.__plot_list.selection_clear(0, tkinter.END)
self.__canvas.draw()