AIModels.UtilPlot module¶
Auxiliary Plotting routines¶
Plotting routines for verification of the forecasts.
Utilities¶
- AIModels.UtilPlot.Single_Forecast_plots(F, V, field, level, cont, timestart, world_projection='Atlantic', maxtime=3, stride=1, colorbars=True, title='', mainlabel='', arealatz=None, arealonz=None, centlon=0, labfile=None)[source]¶
Make verification plots for the field field and level level for the dataset F and V. Plots are made in two column of maxtime rows each.
- Parameters:
F (xarray dataset) -- Dataset with the forecast to be analyzed
V (xarray dataset) -- Dataset with the verification field
mainlabel (string) -- Main label for the plot
field (string) -- Field to be analyzed
level (string) -- Level to be analyzed
timestart (string) -- Starting date for the plotting
maxtime (int) -- Maximum number of time steps to be plotted The number of rows will be determined by this number
stride (int) -- Stride for the plotting
title (string) -- Title for the plot
cont --
[cmin,cmax,cinc] fixed increment from cmin to cmax step cinc
[ c1,c2, ..., cn] fixed contours at [ c1,c2, ..., cn]
n n contours
[] automatic choice
arealatz (numpy array) -- Latitude limits of the field
arealonz (numpy array) -- Longitude limits of the field
centlon (float) -- Central longitude
labfile (string) -- Name of the file to be written
- Return type:
None
- AIModels.UtilPlot.many_plots(F, field, level, cont, timestart, title='', mainlabel='', mode='time', lead=0, ncols=2, nrows=3, arealatz=None, arealonz=None, centlon=0, labfile=None)[source]¶
Make many plots for the field field and level level for the dataset F. Plots are made in rows and columns according to ncol and nrows.
- Parameters:
F (xarray dataset) -- Dataset with the field to be analyzed
mainlabel (string) -- Main label for the plot
field (string) -- Field to be analyzed
level (string) -- Level to be analyzed
timestart (string) -- Starting date for the plotting
title (string) -- Title for the plot
lead (int) -- Lead time for the plotting
ncols (int) -- Number of columns for the plotting
nrows (int) -- Number of rows for the plotting
cont --
[cmin,cmax,cinc] fixed increment from cmin to cmax step cinc
[ c1,c2, ..., cn] fixed contours at [ c1,c2, ..., cn]
n n contours
[] automatic choice
arealatz (numpy array) -- Latitude limits of the field
arealonz (numpy array) -- Longitude limits of the field
centlon (float) -- Central longitude
labfile (string) -- Name of the file to be written
- Return type:
None
- AIModels.UtilPlot.Forecast_plots(F, V, D, field, level, cont, timestart, leads=None, figsize=(12, 8), world_projection='Atlantic', colorbars=True, title='', mainlabel='', picturelabels=None, arealatz=None, arealonz=None, centlon=0, labfile=None)[source]¶
Make verification plots for the field field and level level for the dataset F and V. Plots are made in two column of maxtime rows each.
- Parameters:
F (xarray dataset) -- Dataset with the forecast to be analyzed
V (xarray dataset) -- Dataset with the verification field
D (xarray dataset) -- Dataset with the deterministic forecast
figsize (tuple) -- Size of the figure
world_projection (string) -- World Projection for the plot
mainlabel (string) -- Main label for the plot
picturelabels (namedtuple) -- List of labels for the pictures
field (string) -- Field to be analyzed
level (string) -- Level to be analyzed
timestart (string) -- Starting date for the plotting
column (int) -- Number of columns for the plotting
leads (list(int)) -- List of lead time to be plotted
title (string) -- Title for the plot
cont --
[cmin,cmax,cinc] fixed increment from cmin to cmax step cinc
[ c1,c2, ..., cn] fixed contours at [ c1,c2, ..., cn]
n n contours
[] automatic choice
arealatz (numpy array) -- Latitude limits of the field
arealonz (numpy array) -- Longitude limits of the field
centlon (float) -- Central longitude
labfile (string) -- Name of the file to be written
- Return type:
None
