#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
MNH_LIC Copyright 1994-2021 CNRS, Meteo-France and Universite Paul Sabatier
MNH_LIC This is part of the Meso-NH software governed by the CeCILL-C licence
MNH_LIC version 1. See LICENSE, CeCILL-C_V1-en.txt and CeCILL-C_V1-fr.txt
MNH_LIC for details. version 1.
@author: 07/2021 Quentin Rodier
"""
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.colors import ListedColormap
import numpy as np
import cartopy
import cartopy.feature as cfeature
class PanelPlot():
def __init__(self, nb_l, nb_c, Lfigsize, bigtitle, titlepad=40, minmaxpad=1.03, timepad=-0.06, lateralminmaxpad=0.86,
labelcolorbarpad=6.0, colorbaraspect=20, colorbarpad=0.04 ):
self.bigtitle = bigtitle
self.Lfigsize = Lfigsize
self.nb_l = nb_l
self.nb_c = nb_c
self.nb_graph = 0 # New independent graph within the subplot
self.titlepad = titlepad # Title pad (vertical shift) from graph
self.minmaxpad = minmaxpad # Min/Max print pad (vertical shift)
self.timepad = timepad # Time print pad (vertical shift)
self.colorbarpad = colorbarpad # Colorbar pad (horizontal shift from graph)
self.lateralminmaxpad = lateralminmaxpad
self.labelcolorbarpad = labelcolorbarpad # Vertical colorbal label pad
self.colorbaraspect = colorbaraspect # Ratio of long to short dimensions of colorbar w.r.t. the figure
# Initialization of the panel plots
self.fig = plt.figure(figsize=(self.Lfigsize[0],self.Lfigsize[1]))
self.fig.set_dpi(125)
self.fig.suptitle(self.bigtitle,fontsize=16)
def save_graph(self, iplt, fig):
"""
Create a temporary png file of (sub)-plot(s) which can be converted to PDF
"""
self.iplt = iplt
self.fig = fig
self.fig.savefig('tempgraph'+str(self.iplt)) #TODO possibility to change the default value of .png file name
self.iplt+=1
return self.iplt
def draw_Backmap(self,drawCoastLines, ax, projo):
"""
Handle drawing of the background plot (coastlines, departements, grid lines and labels)
"""
self.drawCoastLines = drawCoastLines
self.projo = projo
# Grid lines and labels
if 'PlateCarree' in str(projo):
gl = ax.gridlines(crs=self.projo, draw_labels=True, linewidth=1, color='gray')
if float(cartopy.__version__[:4]) >= 0.18:
gl.top_labels = False
gl.right_labels = False
else:
gl.xlabels_top = False
gl.ylabels_right = False
# Coastlines
if self.drawCoastLines and 'GeoAxes' in str(type(ax)):
ax.coastlines(resolution='10m')
# Countries border
ax.add_feature(cfeature.BORDERS)
ax.add_feature(cfeature.LAKES, alpha=0.7)
def addWhitecm(self, Laddwhite, colormap_in, nb_level):
if Laddwhite:
color_map = cm.get_cmap(colormap_in, 256)
newcolor_map = color_map(np.linspace(0, 1, 256))
whites = np.array([1, 1, 1, 1]) #RBG code + opacity
for i in range(int(256/nb_level)): newcolor_map[:i, :] = whites
newcmp = ListedColormap(newcolor_map)
return newcmp
def set_Title(self, ax, i, title, Lid_overlap, xlab, ylab):
"""
Handle top title of each graph
Parameters :
- titlepad : global attribute for vertical shift placement w.r.t the graph
"""
self.ax = ax
self.title = title
self.Lid_overlap = Lid_overlap
self.i = i
#self.ax[self.i].set_xlabel("test", fontweight='bold')
if not Lid_overlap:
self.ax[self.i].set_title(title, pad=self.titlepad)
else: # If graph overlap, title is concatenated
new_title = self.ax[self.i].get_title() + ' and ' + title
self.ax[self.i].set_title(new_title, pad=self.titlepad)
def set_xlim(self, ax, i, xlim):
"""
Handle x limits plotted if necessary
"""
self.ax = ax
self.xlim = xlim
self.i = i
self.ax[self.i].set_xlim(xlim[0],xlim[1])
def set_ylim(self, ax, i, ylim):
"""
Handle x limits plotted if necessary
"""
self.ax = ax
self.ylim = ylim
self.i = i
self.ax[self.i].set_ylim(ylim[0],ylim[1])
def set_XYaxislab(self, ax, i, xlab, ylab):
"""
Handle x and y axis labels
"""
self.ax = ax
self.xlab = xlab
self.ylab = ylab
self.i = i
# This handing label is a known issue with GeoAxes of cartopy
# https://stackoverflow.com/questions/35479508/cartopy-set-xlabel-set-ylabel-not-ticklabels
# https://github.com/SciTools/cartopy/issues/1332
if 'GeoAxes' in str(type(self.ax[self.i])):
self.ax[self.i].text(-0.11, 0.45, ylab, verticalalignment='top', horizontalalignment='left',
rotation='vertical', rotation_mode='anchor', transform=self.ax[self.i].transAxes, color='black', fontsize=11)
self.ax[self.i].text(0.45, -0.06, xlab, verticalalignment='top', horizontalalignment='left',
rotation='horizontal', rotation_mode='anchor', transform=self.ax[self.i].transAxes, color='black', fontsize=11)
else:
self.ax[self.i].set_xlabel(xlab)
self.ax[self.i].set_ylabel(ylab)
def addLine(self, ax, beg_coord, end_coord, color='black', linewidth=1):
self.ax = ax
self.beg_coord = beg_coord
self.end_coord = end_coord
self.color = color
self.linewidth = linewidth
x1, y1 = [self.beg_coord[0],self.end_coord[0]], [self.beg_coord[1], self.end_coord[1]]
ax.plot(x1, y1,color=self.color,linewidth=self.linewidth)
def print_minmax(self, var, title):
print(str(title) + " min = " + str(np.nanmin(var)) + " max = " + str(np.nanmax(var)))
def set_minmaxText(self, ax, i, var, title, Lid_overlap, facconv):
"""
Show min and max value Text in the plot
If overlap variable, text is align to the right
TODO : handle more than 2 overlap variables
"""
self.ax = ax
self.var = var
self.i = i
self.title = title
self.facconv = facconv
strtext = " min = " + "{:.3e}".format(np.nanmin(var*facconv)) + " max = " + "{:.3e}".format(np.nanmax(var*facconv))
if not Lid_overlap:
self.ax[self.i].text(0.01, self.minmaxpad, strtext, verticalalignment='top', horizontalalignment='left',
transform=self.ax[self.i].transAxes, color='black', fontsize=10)
else:
self.ax[self.i].text(self.lateralminmaxpad, self.minmaxpad, strtext, verticalalignment='top', horizontalalignment='right',
transform=self.ax[self.i].transAxes, color='black', fontsize=10)
# Print to help choose min/max value for ticks
self.print_minmax(var*facconv, title)
def showTimeText(self, ax, i, timetxt):
"""
Show time validity
"""
self.ax = ax
self.i = i
self.timetxt = timetxt
strtext = "Time = " + timetxt
self.ax[self.i].text(0.0, self.timepad, strtext, verticalalignment='top', horizontalalignment='left',
transform=self.ax[self.i].transAxes, color='black', fontsize=10)
def psectionV(self, Lxx=[], Lzz=[], Lvar=[], Lxlab=[], Lylab=[], Ltitle=[], Lminval=[], Lmaxval=[],
Lstep=[], Lstepticks=[], Lcolormap=[], Lcbarlabel=[], LcolorLine=[],
Lfacconv=[], ax=[], Lid_overlap=[], colorbar=True, orog=[], Lxlim=[], Lylim=[], Ltime=[], Lpltype=[], LaddWhite_cm=[]):
"""
Horizontal cross section plot
Parameters :
- Lxx : List of x or y coordinate variable or time axis
- Lzz : List of z coordinates variable
- Lvar : List of variables to plot
- Lxlab : List of x-axis label
- Lylab : List of y-axis label
- Lxlim : List of x (min, max) value plotted
- Lylim : List of y (min, max) value plotted
- Ltime : List of time (validity)
- Ltitle : List of sub-title
- Lminval: List of minimum value for each colorbar
- Lmaxval: List of maximum value for each colorbar
- Lstep : List of color-steps for each colorbar
- Lstepticks : List of value of labels for each colorbar
- Lcolormap : List of colormap
- LcolorLine : List of colors for colors arg of contour (color line only)
- Lcbarlabel : List of colorbar label legend (units)
- Lfacconv : List of factors for unit conversion of each variables
- 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
- Lpltype : List of types of plot 'cf' or 'c'. cf=contourf, c=contour (lines only)
- colorbar : show colorbar or not
- LaddWhite_cm : List of boolean to add white color to a colormap at the first (low value) tick colorbar
"""
self.ax = ax
firstCall = (len(self.ax) == 0)
# Initialize default value w.r.t to the number of plots
# D={'Lxlab':Lxlab, 'Lylab':Lylab, 'Ltitle':Ltitle,'Lminval':Lminval, 'Lmaxval':Lmaxval,
# 'Lstep':Lstep, 'Lstepticks':Lstepticks, 'Lcolormap':Lcolormap, 'Lcbarlabel':Lcbarlabel, 'Lfacconv':Lfacconv, 'Ltime':Ltime,
# 'LaddWhite_cm':LaddWhite_cm, 'Lpltype':Lpltype}
# D = initialize_default_val(Lvar, D)
# Default values
if not Lfacconv: Lfacconv = [1.0]*len(Lvar)
if not Lcolormap and not LcolorLine: Lcolormap=['gist_rainbow_r']*len(Lvar) # If no color given, a cmap is given
if not Lcolormap: LcolorLine=['black']*len(Lvar)
if not Lpltype: Lpltype=['cf']*len(Lvar)
if not LaddWhite_cm: LaddWhite_cm=[False]*len(Lvar)
if not Lylab: Lylab = ['']*len(Lvar)
if not Lxlab: Lxlab = ['']*len(Lvar)
# Add an extra percentage of the top max value for forcing the colorbar show the true user maximum value (correct a bug)
Lmaxval = list(map(lambda x, y: x + 1E-6*y, Lmaxval, Lstep) ) #The extra value is 1E-6 times the step ticks of the colorbar
# 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))
self.nb_graph+=1
elif Lid_overlap != []: #overlapping plot
iax = Lid_overlap[i]
else: #existing ax with no overlapping (graphd 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
# Colors normalization
norm = mpl.colors.Normalize(vmax=Lmaxval[i], vmin=Lminval[i])
# Print min/max (stout and on plot)
self.set_minmaxText(self.ax, iax, var, Ltitle[i], Lid_overlap, Lfacconv[i])
# Print time validity
if Ltime: self.showTimeText(self.ax, iax, str(Ltime[i]))
# Number of contours level
if not Lstep[i]: # Default value of number of steps is 20
Lstep[i] = (Lmaxval[i] - Lminval[i])/20
Lstepticks[i] = Lstep[i]
levels_contour = np.arange(Lminval[i],Lmaxval[i],step=Lstep[i])
# Add White to colormap
if LaddWhite_cm[i] and Lcolormap: Lcolormap[i]=self.addWhitecm(LaddWhite_cm[i], Lcolormap[i], len(levels_contour))
# Plot
if Lpltype[i]=='c': # Contour
if LcolorLine:
cf = self.ax[iax].contour(Lxx[i], Lzz[i], var*Lfacconv[i], levels=levels_contour,
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], colors=LcolorLine[i])
else:
cf = self.ax[iax].contour(Lxx[i], Lzz[i], var*Lfacconv[i], levels=levels_contour,
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], cmap=Lcolormap[i])
else: # Contourf
cf = self.ax[iax].contourf(Lxx[i], Lzz[i], var*Lfacconv[i], levels=levels_contour,
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], cmap=Lcolormap[i])
# Title
self.set_Title(self.ax, iax, Ltitle[i], Lid_overlap,Lxlab[i], Lylab[i])
# X/Y Axis label
self.set_XYaxislab(self.ax, iax, Lxlab[i], Lylab[i])
# X/Y Axis limits value
if Lxlim:
try:
self.set_xlim(self.ax, iax, Lxlim[i])
except:
pass
if Lylim:
try:
self.set_ylim(self.ax, iax, Lylim[i])
except:
pass
# Color label on contour-line
if Lpltype[i]=='c': # Contour
self.ax[iax].clabel(cf)
#self.ax[iax].clabel(cf, levels=np.arange(Lminval[i],Lmaxval[i],step=Lstep[i])) #TODO bug, levels not recognized
#Filling area under topography
if not orog==[]:
self.ax[iax].fill_between(Lxx[i][0,:], orog, color='black')
# Colorbar
if colorbar:
cb=plt.colorbar(cf, ax=self.ax[iax], fraction=0.031, pad=self.colorbarpad, ticks=np.arange(Lminval[i],Lmaxval[i],Lstepticks[i]), aspect=self.colorbaraspect)
cb.ax.set_title(Lcbarlabel[i], pad = self.labelcolorbarpad, loc='left') #This creates a new AxesSubplot only for the colorbar y=0 ==> location at the bottom
return self.fig
def pXY_lines(self, Lxx=[], Lyy=[], Lxlab=[], Lylab=[], Ltitle=[], Llinetype=[], Llinewidth=[],
Llinecolor=[], Llinelabel=[], LfacconvX=[], LfacconvY=[], ax=[], id_overlap=None, Lxlim=[],
Lylim=[], Ltime=[], LaxisColor=[]):
"""
XY (multiple)-lines plot
Parameters :
- Lxx : List of variables to plot or coordinates along the X axis #TODO : ajouter Lfacconv pour les deux axes. Impact tous les cas test avec lignes X/Y
- Lyy : List of variables to plot or coordinates along the Y axis
- Lxlab : List of x-axis label
- Lylab : List of y-axis label
- Lxlim : List of x (min, max) value plotted
- Lylim : List of y (min, max) value plotted
- Ltime : List of time (validity)
- Ltitle : List of sub-title
- Llinewidth : List of lines thickness
- Llinetype : List of line types
- Lcolorlines: List of color lines
- Llinelabel : List of legend label lines
- LfacconvX/Y: List of factors for unit conversion of the variables/coordinates to plot on X and Y axis
- 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
"""
self.ax = ax
firstCall = (len(self.ax) == 0)
# Defaults value convert to x number of variables list
if not LfacconvX: LfacconvX = [1.0]*len(Lxx)
if not LfacconvY: LfacconvY = [1.0]*len(Lxx)
if not Llinewidth: Llinewidth = [1.0]*len(Lxx)
if not Llinecolor: Llinecolor = ['blue']*len(Lxx)
if not Llinetype: Llinetype = ['-']*len(Lxx)
if not Llinelabel: Llinelabel = ['']*len(Lxx)
if not LaxisColor: LaxisColor = ['black']*len(Lxx)
if not Lylab: Lylab = ['']*len(Lxx)
if not Lxlab: Lxlab = ['']*len(Lxx)
if firstCall: # 1st call
iax = 0
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,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
# On all variables to plot
for i,var in enumerate(Lxx):
# Print time validity
if Ltime: self.showTimeText(self.ax, iax, str(Ltime[i]))
# Plot
cf = self.ax[iax].plot(Lxx[i]*LfacconvX[i], Lyy[i]*LfacconvY[i], color=Llinecolor[i], ls=Llinetype[i],
label=Llinelabel[i], linewidth=Llinewidth[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='upper right', bbox_to_anchor=(1, 0.95))
else:
self.ax[iax].legend(loc='upper right', 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:
pass
if Lylim:
try:
self.set_ylim(self.ax, iax, Lylim[i])
except:
pass
return self.fig
def psectionH(self, lon=[],lat=[], Lvar=[], Lcarte=[], Llevel=[], Lxlab=[], Lylab=[], Ltitle=[], Lminval=[], Lmaxval=[],
Lstep=[], Lstepticks=[], Lcolormap=[], LcolorLine=[], Lcbarlabel=[], Lproj=[], Lfacconv=[], coastLines=True, ax=[],
Lid_overlap=[], colorbar=True, Ltime=[], LaddWhite_cm=[], Lpltype=[], Lcbformatlabel=[]):
"""
Horizontal cross section plot
Parameters :
- lon : longitude 2D array
- lat : latitude 2D array
- Lvar : List of variables to plot
- Lcarte : Zooming [lonmin, lonmax, latmin, latmax]
- Llevel : List of k-level value for the section plot (ignored if variable is already 2D)
- Lxlab : List of x-axis label
- Lylab : List of y-axis label
- Ltitle : List of sub-title
- Ltime : List of time (validity)
- Lminval: List of minimum value for each colorbar
- Lmaxval: List of maximum value for each colorbar
- Lstep : List of color-steps for each colorbar
- Lstepticks : List of value of labels for each colorbar
- Lcolormap : List of colormap
- LcolorLine : List of colors for colors arg of contour (color line only)
- Lcbarlabel : List of colorbar label legend (units)
- Lproj : List of ccrs cartopy projection ([] for cartesian coordinates)
- Lfacconv : List of factors for unit conversion of each variables
- coastLines : Boolean to plot coast lines and grid lines
- 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
- colorbar : show colorbar or not
- Lpltype : List of types of plot 'cf' or 'c'. cf=contourf, c=contour (lines only)
- LaddWhite_cm : List of boolean to add white color to a colormap at the first (low value) tick colorbar
- Lcbformatlabel: List of boolean to reduce the format to exponential 1.1E+02 format colorbar label
"""
self.ax = ax
firstCall = (len(self.ax) == 0)
# Initialize default value w.r.t to the number of plots
# D={'lon':lon, 'lat':lat, 'Lcarte':Lcarte, 'Llevel':Llevel, 'Lxlab':Lxlab, 'Lylab':Lylab, 'Ltitle':Ltitle,'Lminval':Lminval, 'Lmaxval':Lmaxval,
# 'Lstep':Lstep, 'Lstepticks':Lstepticks, 'Lcolormap':Lcolormap, 'Lcbarlabel':Lcbarlabel, 'Lproj':Lproj, 'Lfacconv':Lfacconv, 'Ltime':Ltime,
# 'LaddWhite_cm':LaddWhite_cm, 'Lpltype':Lpltype}
# D = initialize_default_val(Lvar, D)
# If all plots are not using conversion factor, convert it to List
if not Lfacconv: Lfacconv = [1.0]*len(Lvar)
if not Lylab: Lylab = ['']*len(Lvar)
if not Lxlab: Lxlab = ['']*len(Lvar)
if not Lcolormap and not LcolorLine: Lcolormap=['gist_rainbow_r']*len(Lvar) # If no color given, a cmap is given
if not Lcolormap: LcolorLine=['black']*len(Lvar)
if not Lpltype: Lpltype=['cf']*len(Lvar)
if not LaddWhite_cm: LaddWhite_cm=[False]*len(Lvar)
if not Lcbformatlabel: Lcbformatlabel=[False]*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 Lstep: Lmaxval = list(map(lambda x, y: x + 1E-6*y, Lmaxval, Lstep) ) #The extra value is 1E-6 times the step ticks of the colorbar
# This following must be after the extra percentage top value addition
if not Lstep: Lstep=[None]*len(Lvar)
if not Lstepticks: Lstepticks=[None]*len(Lvar)
# On all variables to plot
for i,var in enumerate(Lvar):
if firstCall: #1st call
iax = i
if Lproj:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,i+1, projection = Lproj[i]))
else: # Cartesian coordinates
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,i+1))
self.nb_graph+=1
elif Lid_overlap != []: #overlapping plot
iax = Lid_overlap[i]
else: #existing ax with no overlapping (graphd appended to existing panel)
if Lproj:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,self.nb_graph+1, projection = Lproj[i]))
else: # Cartesian coordinates
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
#Colors normalization
norm = mpl.colors.Normalize(vmax=Lmaxval[i], vmin=Lminval[i])
# Zooming
if len(Lcarte) == 4: #zoom
self.ax[iax].set_xlim(Lcarte[0], Lcarte[1])
self.ax[iax].set_ylim(Lcarte[2], Lcarte[3])
# Variable to plot w.r.t dimensions
if var.ndim==2:
vartoPlot = var[:,:]
else:
vartoPlot = var[Llevel[i],:,:]
# Print min/max (stout and on plot)
self.set_minmaxText(self.ax, iax, vartoPlot, Ltitle[i], Lid_overlap, Lfacconv[i])
# Print time validity
if Ltime: self.showTimeText(self.ax, iax, str(Ltime[i]))
# Number of contours level
if not Lstep[i]: # Default value of number of steps is 20
Lstep[i] = (Lmaxval[i] - Lminval[i])/20
Lstepticks[i] = Lstep[i]
levels_contour = np.arange(Lminval[i],Lmaxval[i],step=Lstep[i])
# Add White to colormap
if LaddWhite_cm[i] and Lcolormap: Lcolormap[i]=self.addWhitecm(LaddWhite_cm[i], Lcolormap[i], len(levels_contour))
# Plot
if Lproj:
if Lpltype[i]=='c': # Contour
if LcolorLine:
cf = self.ax[iax].contour(lon[i], lat[i], vartoPlot*Lfacconv[i], levels=levels_contour,transform=Lproj[i],
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], colors=LcolorLine[i])
else:
cf = self.ax[iax].contour(lon[i], lat[i], vartoPlot*Lfacconv[i], levels=levels_contour,transform=Lproj[i],
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], cmap=Lcolormap[i])
else:
cf = self.ax[iax].contourf(lon[i], lat[i], vartoPlot*Lfacconv[i], levels=levels_contour,transform=Lproj[i],
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], cmap=Lcolormap[i])
else: # Cartesian coordinates
if Lpltype[i]=='c': # Contour
cf = self.ax[iax].contour(lon[i], lat[i], vartoPlot*Lfacconv[i], levels=levels_contour,
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], colors=LcolorLine[i])
else:
cf = self.ax[iax].contourf(lon[i], lat[i], vartoPlot*Lfacconv[i], levels=levels_contour,
norm=norm, vmin=Lminval[i], vmax=Lmaxval[i], cmap=Lcolormap[i])
# Title
self.set_Title(self.ax, iax, Ltitle[i], Lid_overlap,Lxlab[i], Lylab[i])
# Coastlines / Grid lines and labels
if Lproj: self.draw_Backmap(coastLines, self.ax[iax], Lproj[i])
# X/Y Axis
self.set_XYaxislab(self.ax, iax, Lxlab[i], Lylab[i])
# Color label on contour-line
if Lpltype[i]=='c': # Contour
if 'GeoAxes' in str(type(self.ax[self.i])): # cartopy does not like the levels arguments in clabel, known issue
self.ax[iax].clabel(cf)
else:
self.ax[iax].clabel(cf, levels=np.arange(Lminval[i],Lmaxval[i],step=Lstep[i]))
# Colorbar
if colorbar:
cb=plt.colorbar(cf, ax=self.ax[iax], fraction=0.031, pad=self.colorbarpad, ticks=np.arange(Lminval[i],Lmaxval[i],Lstepticks[i]), aspect=self.colorbaraspect)
cb.ax.set_title(Lcbarlabel[i], pad = self.labelcolorbarpad, loc='left') #This creates a new AxesSubplot only for the colorbar y=0 ==> location at the bottom
if Lcbformatlabel[i]: cb.ax.set_yticklabels(["{:.1E}".format(i) for i in cb.get_ticks()])
return self.fig
def pvector(self, Lxx=[], Lyy=[], Lvar1=[], Lvar2=[], Lcarte=[], Llevel=[], Lxlab=[], Lylab=[],
Ltitle=[], Lwidth=[], Larrowstep=[], Lcolor=[], Llegendval=[], Lcbarlabel=[],
Lproj=[], Lfacconv=[], ax=[], coastLines=True, Lid_overlap=[], Ltime=[], Lscale=[],
Lylim=[], Lxlim=[]):
"""
Horizontal vectors lines
Parameters :
- Lxx : List of x or y coordinate variable (lat or ni or nm)
- Lyy : List of y coordinates variable (lon or level)
- Lvar1 : List of wind-component along x/y or oblic axis (3D for hor. section, 2D for vertical section)
- Lvar2 : List of wind-component along y-axis : v-component for horizontal section / w-component for vertical section
- Lcarte : Zooming [lonmin, lonmax, latmin, latmax]
- Llevel : List of k-level value for the horizontal section plot (ignored if variable is already 2D)
- Lxlab : List of x-axis label
- Lylab : List of y-axis label
- Lxlim : List of x (min, max) value plotted
- Lylim : List of y (min, max) value plotted
- Ltitle : List of sub-titles
- Ltime : List of time (validity)
- Lwidth : List of thickness of the arrows
- Lscale : List of scale for the length of the arrows (high value <=> small length)
- Larrowstep : List of sub-sample (frequency) if too much arrows
- Lcolor : List of colors for the arrows (default: black)
- Llegendval : List of value for the legend of the default arrow
- Lcbarlabel : List of labels for the legend of the default arrow
- Lproj : List of ccrs cartopy projection
- Lfacconv : List of factors for unit conversion of each variables
- coastLines : Boolean to plot coast lines and grid lines
- 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
"""
self.ax = ax
firstCall = (len(self.ax) == 0)
# If all plots are not using conversion factor, convert it to List
if not Lfacconv: Lfacconv = [1.0]*len(Lvar1)
if not Lcolor: Lcolor = ['black']*len(Lvar1)
if not Lscale : Lscale = [None]*len(Lvar1)
if not Lylab: Lylab = ['']*len(Lvar1)
if not Lxlab: Lxlab = ['']*len(Lvar1)
# On all variables to plot
for i,var1 in enumerate(Lvar1):
if firstCall: #1st call
iax = i
if Lproj:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,i+1, projection = Lproj[i]))
else:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,i+1))
self.nb_graph+=1
elif Lid_overlap != []: #overlapping plot
iax = Lid_overlap[i]
else: #existing ax with no overlapping (graphd appended to existing panel)
if Lproj:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,self.nb_graph+1, projection = Lproj[i]))
else:
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
# Zooming
if len(Lcarte) == 4: #zoom
self.ax[iax].set_xlim(Lcarte[0], Lcarte[1])
self.ax[iax].set_ylim(Lcarte[2], Lcarte[3])
# Variable to plot w.r.t dimensions
if var1.ndim==2:
vartoPlot1 = var1[:,:]
vartoPlot2 = Lvar2[i][:,:]
else: # Variable is 3D : only for horizontal section
vartoPlot1 = var1[Llevel[i],:,:]
vartoPlot2 = Lvar2[i][Llevel[i],:,:]
# Print min/max val to help choose colorbar steps
self.set_minmaxText(self.ax, iax, np.sqrt(vartoPlot1**2 + vartoPlot2**2), Ltitle[i], Lid_overlap, Lfacconv[i])
# Print time validity
if Ltime: self.showTimeText(self.ax, iax, str(Ltime[i]))
# Plot
axeX = Lxx[i]
axeY = Lyy[i]
if Lxx[i].ndim == 2:
cf = self.ax[iax].quiver(axeX[::Larrowstep[i],::Larrowstep[i]], axeY[::Larrowstep[i],::Larrowstep[i]],
vartoPlot1[::Larrowstep[i],::Larrowstep[i]], vartoPlot2[::Larrowstep[i],::Larrowstep[i]],
width=Lwidth[i] ,angles='uv', color=Lcolor[i],scale=Lscale[i])
else:
cf = self.ax[iax].quiver(axeX[::Larrowstep[i]], axeY[::Larrowstep[i]],
vartoPlot1[::Larrowstep[i],::Larrowstep[i]], vartoPlot2[::Larrowstep[i],::Larrowstep[i]],
width=Lwidth[i] ,angles='uv', color=Lcolor[i], scale=Lscale[i])
# Title
self.set_Title(self.ax, iax, Ltitle[i], Lid_overlap,Lxlab[i], Lylab[i])
# X/Y Axis Label
self.set_XYaxislab(self.ax, iax, Lxlab[i], Lylab[i])
# X/Y Axis limits value
if Lxlim:
try:
self.set_xlim(self.ax, iax, Lxlim[i])
except:
pass
if Lylim:
try:
self.set_ylim(self.ax, iax, Lylim[i])
except:
pass
# Coastlines:
if Lproj: self.draw_Backmap(coastLines, self.ax[iax], Lproj[i])
# Arrow legend key
qk = self.ax[iax].quiverkey(cf, 1.0, -0.05, Llegendval[i], str(Llegendval[i]) + Lcbarlabel[i], labelpos='E', color='black')
return self.fig
def pstreamline(self, Lxx=[], Lyy=[], Lvar1=[], Lvar2=[], Lcarte=[], Llevel=[], Lxlab=[], Lylab=[], Llinewidth=[], Ldensity=[],
Ltitle=[], Lcolor=[], Lproj=[], Lfacconv=[], ax=[], coastLines=True, Lid_overlap=[], Ltime=[],
Lylim=[], Lxlim=[]):
"""
Wind stream lines
Parameters :
- Lxx : List of x or y coordinate variable (lat or ni or nm)
- Lyy : List of y coordinates variable (lon or level)
- Lvar1 : List of wind-component along x/y or oblic axis (3D for hor. section, 2D for vertical section)
- Lvar2 : List of wind-component along y-axis : v-component for horizontal section / w-component for vertical section
- Lcarte : Zooming [lonmin, lonmax, latmin, latmax]
- Llevel : List of k-level value for the horizontal section plot (ignored if variable is already 2D)
- Lxlab : List of x-axis label
- Lylab : List of y-axis label
- Lxlim : List of x (min, max) value plotted
- Lylim : List of y (min, max) value plotted
- Ltitle : List of sub-titles
- Ltime : List of time (validity)
- Llinewidth : List of lines thickness
- Ldensity : List of density that control the closeness of streamlines
- Lcolor : List of colors for the streamline (default: black)
- Lproj : List of ccrs cartopy projection
- Lfacconv : List of factors for unit conversion of each variables
- coastLines : Boolean to plot coast lines and grid lines
- 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
"""
self.ax = ax
firstCall = (len(self.ax) == 0)
# If all plots are not using conversion factor, convert it to List
if not Lfacconv: Lfacconv = [1.0]*len(Lvar1)
if not Lcolor: Lcolor = ['black']*len(Lvar1)
if not Lylab: Lylab = ['']*len(Lvar1)
if not Lxlab: Lxlab = ['']*len(Lvar1)
if not Llinewidth: Llinewidth = [1.0]*len(Lvar1)
if not Ldensity: Ldensity = [1.0]*len(Lvar1)
# On all variables to plot
for i,var1 in enumerate(Lvar1):
if firstCall: #1st call
iax = i
if Lproj:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,i+1, projection = Lproj[i]))
else:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,i+1))
self.nb_graph+=1
elif Lid_overlap != []: #overlapping plot
iax = Lid_overlap[i]
else: #existing ax with no overlapping (graphd appended to existing panel)
if Lproj:
self.ax.append(self.fig.add_subplot(self.nb_l,self.nb_c,self.nb_graph+1, projection = Lproj[i]))
else:
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
# Zooming
if len(Lcarte) == 4: #zoom
self.ax[iax].set_xlim(Lcarte[0], Lcarte[1])
self.ax[iax].set_ylim(Lcarte[2], Lcarte[3])
# Variable to plot w.r.t dimensions
if var1.ndim==2:
vartoPlot1 = var1[:,:]
vartoPlot2 = Lvar2[i][:,:]
else: # Variable is 3D : only for horizontal section
vartoPlot1 = var1[Llevel[i],:,:]
vartoPlot2 = Lvar2[i][Llevel[i],:,:]
# Print min/max val to help choose steps
self.set_minmaxText(self.ax, iax, np.sqrt(vartoPlot1**2 + vartoPlot2**2), Ltitle[i], Lid_overlap, Lfacconv[i])
# Print time validity
if Ltime: self.showTimeText(self.ax, iax, str(Ltime[i]))
# Plot
cf = self.ax[iax].streamplot(Lxx[i], Lyy[i], vartoPlot1, vartoPlot2, density=Ldensity[i], linewidth=Llinewidth[i], color=Lcolor[i])
# Title
self.set_Title(self.ax, iax, Ltitle[i], Lid_overlap,Lxlab[i], Lylab[i])
# X/Y Axis Label
self.set_XYaxislab(self.ax, iax, Lxlab[i], Lylab[i])
# X/Y Axis limits value
if Lxlim:
try:
self.set_xlim(self.ax, iax, Lxlim[i])
except:
pass
if Lylim:
try:
self.set_ylim(self.ax, iax, Lylim[i])
except:
pass
# Coastlines:
if Lproj: self.draw_Backmap(coastLines, self.ax[iax], Lproj[i])
return self.fig
def pXY_bar(self, Lbins=[], Lvar=[], Lxlab=[], Lylab=[], Ltitle=[], Lcolor=[], Lwidth=[],
Llinecolor=[], Llinewidth=[], Lfacconv=[], ax=[], id_overlap=None, Lxlim=[],
Lylim=[], Ltime=[], LaxisColor=[]):
"""
XY Histogram
Parameters :
- Lbins : List of bins
- Lvar : List of the value for each bin
- Lxlab : List of x-axis label
- Lylab : List of y-axis label
- Ltitle : List of sub-title
- Lcolor : List of color (or sequence of colors for each value) of the bars
- 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
"""
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)
# 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
print(len(self.ax))
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='upper right', bbox_to_anchor=(1, 0.95))
else:
self.ax[iax].legend(loc='upper right', 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:
pass
if Lylim:
try:
self.set_ylim(self.ax, iax, Lylim[i])
except:
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
#
#
# return Dparam