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CDF Curve Example
#Metview Macro
# **************************** LICENSE START ***********************************
#
# Copyright 2020 ECMWF. This software is distributed under the terms
# of the Apache License version 2.0. In applying this license, ECMWF does not
# waive the privileges and immunities granted to it by virtue of its status as
# an Intergovernmental Organization or submit itself to any jurisdiction.
#
# ***************************** LICENSE END ************************************
#
# define location
lat=51.5
lon=-1
statName="Reading"
plotLst = nil
legendLst = nil
linecolor=['red','blue','green','black','cyan','evergreen','gold',"pink"]
# get ENS data
g = read(source: "wgust_ens.grib")
# compute CDF and build curve for each timestep
steps = [78, 84, 90]
for i=1 to count(steps) do
# get data for timestep
f = read(data: g, step: steps[i])
# compute CDF
v = nearest_gridpoint(f,lat,lon)
y = vector(100)
for k=1 to 100 do
y[k]= k
end for
x = percentile(vector(v), y)
# define curve
vd = mgraph(
graph_line_style : "solid",
graph_type : 'curve',
graph_line_colour : linecolor[i],
graph_line_thickness : 10,
legend : 'on'
)
curve = input_visualiser(
input_x_values : tolist(x),
input_y_values : tolist(y)
)
plotLst = plotLst & [curve, vd]
# define legend text
legendLst = legendLst & [string(steps[i]) & "h"]
end for
# define title
title=mtext(text_line_1 : "Wind Gust - CDF for " & statName &
" (lat=" & lat & ", lon=" & lon & ")",
text_font_size: 0.5)
# define legend
legend = mlegend(
legend_display_type : "disjoint",
legend_entry_plot_direction : 'column',
legend_text_composition : "user_text_only",
legend_border_colour : "black",
legend_box_mode : "positional",
legend_box_x_position : 2.5,
legend_box_y_position : 12,
legend_box_x_length : 5,
legend_box_y_length : 5,
legend_text_font_size : 0.5,
legend_user_lines : legendLst
)
# define horizontal axis
hor_axis = maxis(
axis_position : "left",
axis_title_text : "Wind gust (m/s)",
axis_tick_interval : 5,
axis_minor_tick : "off",
axis_grid : "on",
axis_grid_colour : "black",
axis_grid_line_style : "dot"
)
# define vertical axis
ver_axis = maxis(
axis_orientation : "vertical",
axis_title_text : "Percentile (%)",
axis_tick_interval : 10,
axis_minor_tick : "on",
axis_minor_tick_count : 1,
axis_grid : "on",
axis_grid_colour : "black",
axis_grid_line_style : "dot"
)
# define Cartesian view
view = cartesianview(
x_min : 0,
x_max : 40,
y_min : 0,
y_max : 100,
subpage_y_position : 12.5,
subpage_y_length : 75,
horizontal_axis : hor_axis,
vertical_axis : ver_axis
)
# define the output plot file
setoutput(pdf_output(output_name : 'cdf_curve'))
# plot
plot(view, plotLst, legend, title)
CDF Curve Example
import numpy as np
import metview as mv
# **************************** LICENSE START ***********************************
#
# Copyright 2020 ECMWF. This software is distributed under the terms
# of the Apache License version 2.0. In applying this license, ECMWF does not
# waive the privileges and immunities granted to it by virtue of its status as
# an Intergovernmental Organization or submit itself to any jurisdiction.
#
# ***************************** LICENSE END ************************************
#
# define location
lat = 51.5
lon = -1
stat_name = "Reading"
plot_lst = []
legend_lst = []
linecolor = ['red','blue','green','black','cyan','evergreen','gold',"pink"]
# get ENS data
g = mv.read("wgust_ens.grib")
# compute CDF and build curve for each timestep
steps = [78, 84, 90]
for i in range(len(steps)):
# get data for timestep
f = mv.read(data=g, step=steps[i])
# compute CDF
v = mv.nearest_gridpoint(f, lat, lon)
y = np.arange(0, 101)
x = np.percentile(v, y)
# define curve
vd = mv.mgraph(
graph_line_style = "solid",
graph_type = 'curve',
graph_line_colour = linecolor[i],
graph_line_thickness = 10,
legend = 'on'
)
curve = mv.input_visualiser(
input_x_values = list(x),
input_y_values = list(y)
)
plot_lst.append([curve, vd])
# define legend text
legend_lst.append("{}h".format(steps[i]))
# define title
title = mv.mtext(text_line_1 =
"Wind Gust - CDF for {} (lat={}, lon={})".format(stat_name, lat, lon),
text_font_size = 0.5)
# define legend
legend = mv.mlegend(
legend_display_type = "disjoint",
legend_entry_plot_direction = 'column',
legend_text_composition = "user_text_only",
legend_border_colour = "black",
legend_box_mode = "positional",
legend_box_x_position = 2.5,
legend_box_y_position = 12,
legend_box_x_length = 5,
legend_box_y_length = 5,
legend_text_font_size = 0.5,
legend_user_lines = legend_lst
)
# define horizontal axis
hor_axis = mv.maxis(
axis_position = "left",
axis_title_text = "Wind gust (m/s)",
axis_tick_interval = 5,
axis_minor_tick = "off",
axis_grid = "on",
axis_grid_colour = "black",
axis_grid_line_style = "dot"
)
# define vertical axis
ver_axis = mv.maxis(
axis_orientation = "vertical",
axis_title_text = "Percentile (%)",
axis_tick_interval = 10,
axis_minor_tick = "on",
axis_minor_tick_count = 1,
axis_grid = "on",
axis_grid_colour = "black",
axis_grid_line_style = "dot"
)
# define Cartesian view
view = mv.cartesianview(
x_min = 0,
x_max = 40,
y_min = 0,
y_max = 100,
subpage_y_position = 12.5,
subpage_y_length = 75,
horizontal_axis = hor_axis,
vertical_axis = ver_axis
)
# define the output plot file
mv.setoutput(mv.pdf_output(output_name = 'cdf_curve'))
# plot
mv.plot(view, plot_lst, legend, title)