Roughness Rose plots

[3]:

pwio.plot.roughness_rose(rou_rose)

[4]:

pwio.plot.roughness_rose(rou_rose, gap=True)

[5]:

pwio.plot.roughness_rose(rou_rose, style="bar")

[6]:

pwio.plot.roughness_rose(rou_rose, style="bar", gap=True)

Wind rose plots

[7]:

pwio.plot.wind_rose(bwc_from_ts, "IEC_I")

[8]:

pwio.plot.wind_rose(bwc_from_wwc, [0, 5, 10, 15, 30], style = "radar")

[9]:

pwio.plot.wind_rose(bwc_from_wwc, "IEC_I", cmap="inferno", gap=True)

[10]:

pwio.plot.wind_rose(wwc_pt, "IEC_I", cmap="inferno", gap=True) #works for a wwc as input

[11]:

# bwc is missing some attributes so raises a validation error
try:
    pwio.plot.wind_rose(bwc)
except PlottingAttrsError as e:
    print(e)

The plot can't be displayed as the following attributes are not defined for 'sector' :
1. Missing attribute value: 'long_name'
2. Missing attribute value: 'units'
Please, define a value for the empty attributes.

Weibull distributions and histograms

[13]:

pwio.plot.histogram(bwc_from_ts, style="faceted", color = "green", weibull = True)

[14]:

pwio.plot.histogram(bwc_from_ts, style="faceted", color = "green", weibull = True, share_xaxes=False)

[15]:

pwio.plot.histogram(bwc_from_ts, style="list", gap = True)[10]

[16]:

#weibull argument displays or not weib. distrib.
pwio.plot.histogram(bwc_from_wwc.isel(sector=[0,3]), style="list", weibull = False)[1]

[17]:

# Emergent distribution
pwio.plot.histogram(bwc_from_ts, emergent_distribution=True)

[18]:

pwio.plot.histogram_lines(bwc_from_ts)

[19]:

# bwc is missing attributes
try:
    pwio.plot.histogram_lines(bwc)
except PlottingAttrsError as e:
    print(e)

The plot can't be displayed as the following attributes are not defined for 'sector' :
1. Missing attribute value: 'long_name'
2. Missing attribute value: 'units'
Please, define a value for the empty attributes.

[20]:

# input must be valid bwc, wwc is not accepted
try:
    pwio.plot.histogram(wwc_pt, style = "faceted", weibull = None)
except pwio._errors.WindClimateValidationError as e:
    print(e)

validate found 2 errors
1. Missing variable: wsfreq
2. Missing dimension: wsbin

Operational curves

[22]:

pwio.plot.single_curve(wtg_test.power_output, style = "faceted", color = "dodgerblue", x_axis_range= [1,29.5])

[23]:

pwio.plot.power_ct_curves(wtg_test, mark_rated = 0.5, x_axis_range= [3,28], title = True)

[24]:

pwio.plot.power_ct_curves(wtg_test.sel(mode = "Standard"), mark_rated = 0.95, share_yaxes =True, x_axis_range= [1,28], title = True)

[25]:

# Don't share the y-axis, which changes the view of the power curves for this artificial case
pwio.plot.power_ct_curves(wtg_test, mark_rated = True, share_yaxes =False, title = True)

Vertical profile

[29]:

vp = xr.open_dataset("data/plots/vertical_profile.nc")
vp["height"].attrs = {"long_name" : "Height above the ground", "units" : "m"}

[30]:

pwio.plot.vertical_profile(vp.isel(time=0).wind_speed, vp.isel(time=1).wind_speed)

[31]:

pwio.plot.vertical_profile(da_meas=vp.isel(time=1).wind_direction)

[32]:

pwio.plot.vertical_profile(da_pred=vp.isel(time=1).wind_direction)

Map Plots

Raster map

[33]:

plot_dat = site_effects_squeezed["site_elev"]
pwio.plot.raster_plot(plot_dat);

[34]:

pwio.plot.raster_plot(landcover)

[34]:

<matplotlib.collections.QuadMesh at 0x7f11dc3fcf40>

[35]:

plot_dat = site_effects_squeezed["site_elev"]
pwio.plot.raster_plot(plot_dat, color_scale_limits=[0, 200]);

[37]:

plot_dat = site_effects_squeezed["z0meso"].sel(sector=270)
raster_map = pwio.plot.raster_plot(
    plot_dat,
    pts=points.isel(point=slice(0,10,2))
)