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- Lwidth : List of width of the bars
- Llinecolor : List of line color of the bar edges
- Llinewidth : List of lines thickness of the bar edges
- Lfacconv : List of factors for unit conversion of each variables
- Lxlim : List of x (min, max) value plotted
- Lylim : List of y (min, max) value plotted
- Ltime : List of time (validity)
- ax : List of fig.axes for ploting multiple different types of plots in a subplot panel
- Lid_overlap: List of number index of plot to overlap current variables
- LaxisColor : List of colors for multiple x-axis overlap
- LlocLegend : List of localisation of the legend : 'best', 'upper left', 'upper right', 'lower left', 'lower right',
'upper center', 'lower center', 'center left', 'center right', 'center'
"""
self.ax = ax
firstCall = (len(self.ax) == 0)
# Defaults value convert to x number of variables list
if not Lfacconv:
Lfacconv = [1.0] * len(Lvar)
if not LaxisColor:
LaxisColor = ['black'] * len(Lvar)
if not Lylab:
Lylab = [''] * len(Lvar)
if not Lxlab:
Lxlab = [''] * len(Lvar)
if not Lcolor:
Lcolor = ['black'] * len(Lvar)
if not Lwidth:
Lwidth = [1] * len(Lvar)
if not Llinecolor:
Llinecolor = ['black'] * len(Lvar)
if not Llinewidth:
Llinewidth = [0] * len(Lvar)
if not LlocLegend:
LlocLegend = ['upper right'] * len(Lvar)
# On all variables to plot
for i, var in enumerate(Lvar):
if firstCall: # 1st call
iax = i
self.ax.append(self.fig.add_subplot(self.nb_l, self.nb_c, i + 1, label='graph axe x down'))
self.nb_graph += 1
elif id_overlap: # overlapping plot with a different x-axis
self.ax.append(self.fig.add_subplot(self.nb_l, self.nb_c, self.nb_graph, label='graph axe x top', frame_on=False))
iax = len(self.ax) - 1
else: # existing ax with no overlapping (graph appended to existing panel)
self.ax.append(self.fig.add_subplot(self.nb_l, self.nb_c, self.nb_graph + 1))
self.nb_graph += 1
iax = len(self.ax) - 1 # The ax index of the new coming plot is the length of the existant ax -1 for indices matter
# Print time validity
if Ltime:
self.showTimeText(self.ax, iax, str(Ltime[i]))
# Bins by labels
labels = np.array([str(L) for L in Lbins[i]])
# Plot
cf = self.ax[iax].bar(labels, var * Lfacconv[i], width=Lwidth[i], color=Lcolor[i], linewidth=Llinewidth[i], edgecolor=Llinecolor[i])
# Legend
# TODO : Handling legend with overlap two axis lines in the same box. For now, placement is by hand
if not id_overlap:
self.ax[iax].legend(loc=LlocLegend[i], bbox_to_anchor=(1, 0.95))
else:
self.ax[iax].legend(loc=LlocLegend[i], bbox_to_anchor=(1, 0.90))
# Title
if Ltitle:
self.set_Title(self.ax, iax, Ltitle[i], id_overlap, Lxlab[i], Lylab[i])
# X/Y Axis label
if id_overlap:
self.ax[iax].xaxis.tick_top()
self.ax[iax].xaxis.set_label_position('top')
self.ax[iax].set_xlabel(Lxlab[i])
self.ax[iax].set_ylabel(Lylab[i])
else:
self.set_XYaxislab(self.ax, iax, Lxlab[i], Lylab[i])
self.ax[iax].tick_params(axis='x', colors=LaxisColor[i])
# X/Y Axis limits value
if Lxlim:
try:
self.set_xlim(self.ax, iax, Lxlim[i])
except BaseException:
pass
if Lylim:
try:
self.set_ylim(self.ax, iax, Lylim[i])
except BaseException:
pass
return self.fig
# def initialize_default_val(Lvar, Dparam):
# #TODO : initialize default value for all parameter of all type of graphs
# #Returns All the parameters given in Dparam where :
# "- If no value is found (empty list []) : return the default value (if exist) * number of graph
# #- If ONE value only is found : return the value copied x times the number of graph
# #- If the list is complete, nothing is done
# #CURRENT PROBLEM
# #The returned value do not change the true referenced variable given as argument
# # Number of graphs
# l = len(Lvar)
#
# # Add an extra percentage of the top max value for forcing the colorbar show the true user maximum value (correct a bug)
# #if Dparam['Lstep'] and Dparam['Lmaxval']: Dparam['Lmaxval'] = list(map(lambda x, y: x + 1E-6*y, Dparam['Lmaxval'], Dparam['Lstep']) ) #The extra value is 1E-6 times the step ticks of the colorbar
# print(Dparam.items())
#
# # Read on which parameters initialize the default values
# for args_t in list(Dparam.items()): # Test on all arguments present, if they are empty list, default values apply for each graph
# args = list(args_t)
# print(args)
# if args[0] == 'Lfacconv' and not args[1]: args[1] = [1.0]*l
# elif args[0] == 'Lcolormap' and not args[1]: args[1] = ['gist_rainbow_r']*l
# elif args[0] == 'LcolorLine' and not args[1]: args[1] = ['black']*l
# elif args[0] == 'Lpltype' and not args[1]: args[1]= ['cf']*l
# elif args[0] == 'LaddWhite_cm' and not args[1]: args[1] = ['False']*l
# elif args[0] == 'Lstep' and not args[1]: args[1] = [None]*l # default value filled later
# elif args[0] == 'Lstepticks' and not args[1]: args[1] = [None]*l
# Dparam[args[0]] = args[1]
# print(args)
#
# # Check if there is no value for a parameter
# for args_t in list(Dparam.items()):
## args = list(args_t)
# if args[1]
# # Number of contours level
# for i in range(l):
# if 'Lstepticks' in arguments.args and 'Lmaxval' in arguments.args and 'Lminval' in arguments.args:
# Lstep[i] = (Lmaxval[i] - Lminval[i])/20 # Default value of number of steps is 20
# Lstepticks[i] = Lstep[i] # Default value is stepticks are the same as steps values
#
RODIER Quentin
committed
# return Dparam