You can run this notebook in , in , in or in .

[1]:

!pip install --quiet climetlab

[2]:

%config Application.log_level="INFO"

More plotting examples

[3]:

import climetlab as cml

Get some GRIB data

[4]:

ds = cml.load_dataset("sample-grib-data")

Plot the first field

[5]:

cml.plot_map(ds[0])

Plot the second field

[6]:

cml.plot_map(ds[1])

Plot both fields on the same map

[7]:

cml.plot_map((ds[0], ds[1]))

Alternative method:

[8]:

p = cml.new_plot()
p.plot_map(ds[0])
p.plot_map(ds[1])
p.show()

Switch off background map

[9]:

cml.plot_map(ds[1], background=False)

Switch off both foreground and background

[10]:

cml.plot_map(
    ds[1],
    foreground=False,
)

Projections

[11]:

from climetlab.plotting import projections

[12]:

for projection in projections():
    cml.plot_map(projection=projection, title=projection)

[13]:

cml.plotting_options(width=500)

[14]:

atlantic = cml.load_dataset("hurricane-database", bassin="atlantic")

[15]:

df = atlantic.to_pandas()

[16]:

david = df[(df.name == "david")]

[17]:

cml.plot_map(
    david, style=dict(symbol_colour="blue", symbol_type="marker", symbol_marker_index=3)
)

[18]:

cml.plot_map(david)

[19]:

cml.plot_map(david, style={"+symbol_colour": "blue"})

[20]:

cml.plot_map(
    david,
    background={
        "map_coastline_land_shade": True,
        "map_coastline_land_shade_colour": "green",
    },
)

[21]:

cml.plot_map(david, background=False)