def _generate_colorbar_ticks_label(data_transform=False,
colorbarlabel=None,
trans_base_list=None,
forcelabel=None,
plotlev=None,
plotlab=None):
'''
Return (colorbar_ticks,colorbar_labels)
'''
#data_transform==True and levels!=None
if data_transform == True:
if colorbarlabel != None:
colorbarlabel = pb.iteflat(colorbarlabel)
transformed_colorbarlabel_ticks,x,y,trans_base_list = \
mathex.plot_array_transg(colorbarlabel, trans_base_list,
copy=True)
#Note if/else blocks are organized in 1st tire by check if the two
#ends are -inf/inf and 2nd tire by check if colorbarlabel is None
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
if colorbarlabel != None:
ftuple = (transformed_colorbarlabel_ticks, colorbarlabel)
else:
ftuple = (plotlev, plotlab[1:-1])
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError("It's strange to set only side as infitive")
else:
if colorbarlabel != None:
ftuple = (transformed_colorbarlabel_ticks, colorbarlabel)
else:
ftuple = (plotlev, plotlab)
#data_transform==False
else:
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
#if colorbarlabel is forced, then ticks and ticklabels will be forced.
if colorbarlabel != None:
ftuple = (colorbarlabel, colorbarlabel)
#This by default will be done, it's maintained here only for clarity.
else:
ftuple = (plotlab[1:-1], plotlab[1:-1])
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError("It's strange to set only side as infitive")
else:
if colorbarlabel != None:
ftuple = (colorbarlabel, colorbarlabel)
else:
ftuple = (plotlab, plotlab)
ftuple = list(ftuple)
if forcelabel != None:
if len(forcelabel) != len(ftuple[1]):
raise ValueError('''the length of the forcelabel and the
length of labeled ticks is not equal!''')
else:
ftuple[1] = forcelabel
return ftuple
def _generate_colorbar_ticks_label(
data_transform=False, colorbarlabel=None, trans_base_list=None, forcelabel=None, plotlev=None, plotlab=None
):
"""
Return (colorbar_ticks,colorbar_labels)
"""
# data_transform==True and levels!=None
if data_transform == True:
if colorbarlabel != None:
colorbarlabel = pb.iteflat(colorbarlabel)
transformed_colorbarlabel_ticks, x, y, trans_base_list = mathex.plot_array_transg(
colorbarlabel, trans_base_list, copy=True
)
# Note if/else blocks are organized in 1st tire by check if the two
# ends are -inf/inf and 2nd tire by check if colorbarlabel is None
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
if colorbarlabel != None:
ftuple = (transformed_colorbarlabel_ticks, colorbarlabel)
else:
ftuple = (plotlev, plotlab[1:-1])
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError("It's strange to set only side as infitive")
else:
if colorbarlabel != None:
ftuple = (transformed_colorbarlabel_ticks, colorbarlabel)
else:
ftuple = (plotlev, plotlab)
# data_transform==False
else:
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
# if colorbarlabel is forced, then ticks and ticklabels will be forced.
if colorbarlabel != None:
ftuple = (colorbarlabel, colorbarlabel)
# This by default will be done, it's maintained here only for clarity.
else:
ftuple = (plotlab[1:-1], plotlab[1:-1])
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError("It's strange to set only side as infitive")
else:
if colorbarlabel != None:
ftuple = (colorbarlabel, colorbarlabel)
else:
ftuple = (plotlab, plotlab)
ftuple = list(ftuple)
if forcelabel != None:
if len(forcelabel) != len(ftuple[1]):
raise ValueError(
"""the length of the forcelabel and the
length of labeled ticks is not equal!"""
)
else:
ftuple[1] = forcelabel
return ftuple
def _transform_data(pdata, levels, data_transform):
"""
Return [pdata,plotlev,plotlab,extend,trans_base_list];
if data_transform == False, trans_base_list = None.
Notes:
------
pdata: data used for contourf plotting.
plotlev: the levels used in contourf plotting.
extend: the value for parameter extand in contourf.
trans_base_list: cf. mathex.plot_array_transg
"""
if levels == None:
ftuple = (pdata, None, None, "neither")
if data_transform == True:
raise Warning("Strange levels is None but data_transform is True")
else:
if data_transform == True:
# make the data transform before plotting.
pdata_trans, plotlev, plotlab, trans_base_list = mathex.plot_array_transg(pdata, levels, copy=True)
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
ftuple = (pdata_trans, plotlev[1:-1], plotlab, "both")
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError(
"""only one extreme set as infinitive, please
set both as infinitive if arrow colorbar is wanted."""
)
else:
ftuple = (pdata_trans, plotlev, plotlab, "neither")
# data_transform==False
else:
plotlev = pb.iteflat(levels)
plotlab = pb.iteflat(levels)
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
# here the levels would be like [np.NINF,1,2,3,np.PINF]
# in following contourf, all values <1 and all values>3 will be
# automatically plotted in the color of two arrows.
# easy to see in this example:
# a=np.tile(np.arange(10),10).reshape(10,10);
# fig,ax=g.Create_1Axes();
# cs=ax.contourf(a,levels=np.arange(2,7),extend='both');
# plt.colorbar(cs)
ftuple = (pdata, plotlev[1:-1], plotlab, "both")
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError(
"""only one extreme set as infinitive, please
set both as infinitive if arrow colorbar is wanted."""
)
else:
ftuple = (pdata, plotlev, plotlab, "neither")
datalist = list(ftuple)
if data_transform == True:
datalist.append(trans_base_list)
else:
datalist.append(None)
return datalist
def _transform_data(pdata, levels, data_transform, extend='neither'):
'''
Return [pdata,plotlev,plotlab,extend,trans_base_list];
if data_transform == False, trans_base_list = None.
Notes:
------
pdata: data used for contourf plotting.
plotlev: the levels used in contourf plotting.
extend: the value for parameter extand in contourf.
trans_base_list: cf. mathex.plot_array_transg
'''
if levels is None:
ftuple = (pdata, None, None, extend)
if data_transform == True:
raise Warning("Strange levels is None but data_transform is True")
#level is given
else:
if data_transform == True:
#make the data transform before plotting.
pdata_trans,plotlev,plotlab,trans_base_list = \
mathex.plot_array_transg(pdata, levels, copy=True)
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
ftuple = (pdata_trans, plotlev[1:-1], plotlab, 'both')
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError('''only one extreme set as infinitive, please
set both as infinitive if arrow colorbar is wanted.''')
else:
ftuple = (pdata_trans, plotlev, plotlab, extend)
#data_transform==False
else:
plotlev = pb.iteflat(levels)
plotlab = plotlev #label same as levels
if np.isneginf(plotlab[0]) and np.isposinf(plotlab[-1]):
#here the levels would be like [np.NINF,1,2,3,np.PINF]
#in following contourf, all values <1 and all values>3 will be
#automatically plotted in the color of two arrows.
#easy to see in this example:
#a=np.tile(np.arange(10),10).reshape(10,10);
#fig,ax=g.Create_1Axes();
#cs=ax.contourf(a,levels=np.arange(2,7),extend='both');
#plt.colorbar(cs)
ftuple = (pdata, plotlev[1:-1], plotlab, 'both')
elif np.isneginf(plotlab[0]) or np.isposinf(plotlab[-1]):
raise ValueError('''only one extreme set as infinitive, please
set both as infinitive if arrow colorbar is wanted.''')
else:
ftuple = (pdata, plotlev, plotlab, extend)
datalist = list(ftuple)
if data_transform == True:
datalist.append(trans_base_list)
else:
datalist.append(None)
return datalist
