Plotting tracks with `huracanpy.plot.tracks`#

[1]:

import huracanpy

[2]:

# Load the tracks
tracks = huracanpy.load(huracanpy.example_year_file)

[3]:

# Most basic visualisation of the dataset
huracanpy.plot.tracks(tracks.lon, tracks.lat)

/home/docs/checkouts/readthedocs.org/user_builds/huracanpy/envs/v1.4.0/lib/python3.12/site-packages/huracanpy/plot/_tracks.py:56: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.
  sns.scatterplot(

[3]:

(<Figure size 1000x1000 with 1 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)

[4]:

# Adding intensity coloring with `intensity_var`
huracanpy.plot.tracks(tracks.lon, tracks.lat, intensity_var=tracks.wind10)

[4]:

(<Figure size 1000x1000 with 1 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)

[5]:

# Changing projection (ex: Mollweide, will work with any Cartopy projection)
import cartopy.crs as ccrs

huracanpy.plot.tracks(
    tracks.lon, tracks.lat, subplot_kws=dict(projection=ccrs.Mollweide(180))
)

/home/docs/checkouts/readthedocs.org/user_builds/huracanpy/envs/v1.4.0/lib/python3.12/site-packages/huracanpy/plot/_tracks.py:56: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.
  sns.scatterplot(

[5]:

(<Figure size 1000x1000 with 1 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)

[6]:

# Changing plot size
huracanpy.plot.tracks(tracks.lon, tracks.lat, fig_kws=dict(figsize=(5, 5)))

/home/docs/checkouts/readthedocs.org/user_builds/huracanpy/envs/v1.4.0/lib/python3.12/site-packages/huracanpy/plot/_tracks.py:56: UserWarning: Ignoring `palette` because no `hue` variable has been assigned.
  sns.scatterplot(

[6]:

(<Figure size 500x500 with 1 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)

[7]:

# Use `scatter_kws` to customize the plot (using option from seaborn scatterplot)
# Have large red points
huracanpy.plot.tracks(tracks.lon, tracks.lat, scatter_kws=dict(s=5, color="r"))

# Size per wind
huracanpy.plot.tracks(
    tracks.lon, tracks.lat, scatter_kws=dict(size=tracks.wind10, size_norm=(25, 30))
)

# Change palette
huracanpy.plot.tracks(
    tracks.lon,
    tracks.lat,
    intensity_var=tracks.wind10,
    scatter_kws=dict(palette="Reds"),
)

[7]:

(<Figure size 1000x1000 with 1 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)

[8]:

# Equivalent plots with the hrcn accessor
# Have large red points
tracks.hrcn.plot_tracks(scatter_kws=dict(s=5, color="r"))

# Size per wind
tracks.hrcn.plot_tracks(scatter_kws=dict(size=tracks.wind10, size_norm=(25, 30)))

# Change palette
tracks.hrcn.plot_tracks(intensity_var_name="wind10", scatter_kws=dict(palette="Reds"))

[8]:

(<Figure size 1000x1000 with 1 Axes>, <GeoAxes: xlabel='lon', ylabel='lat'>)

Plotting tracks with huracanpy.plot.tracks#

Plotting tracks with `huracanpy.plot.tracks`#