### Create Mosaic Plot with Cartopy and EasyPlotLib

Source: https://github.com/singledoggy/easyplotlib/blob/main/examples/example_plot.ipynb

Generates a mosaic plot layout using Matplotlib's subplot_mosaic and integrates Cartopy projections for specific subplots. Also demonstrates adjusting figure size with EasyPlotLib.

```python
figsizes = epl.figsizes("nat2", nrows=2, ncols=2)

plt.style.use("default")
plt.rcParams.update(figsizes)

china_map = get_adm_maps(level="省", engine="geopandas")
crs = ccrs.PlateCarree()
fig, axs = plt.subplot_mosaic(
    """
    bba
    ccd
    """,
    per_subplot_kw={
        ("b", "c"): {"projection": crs},
    },
)
ax = axs["b"]
ax.set_global()
ax.coastlines()
ax = axs["c"]
ax.set_global()
ax.coastlines()

ax = axs["a"]
ax.plot([1.0, 2.0], [3.0, 4.0])

ax = axs["d"]
ax.plot([1.0, 2.0], [3.0, 4.0])

inverted_aspect_ratio = 0.7
figsizes = epl.figsizes("nat2", inverted_aspect_ratio=inverted_aspect_ratio)
fig.set_size_inches(figsizes["figure.figsize"])
```

--------------------------------

### Plot China Map with Cartopy and EasyPlotLib

Source: https://github.com/singledoggy/easyplotlib/blob/main/examples/example_plot.ipynb

Plots the administrative map of China using Cartopy and EasyPlotLib, including gridlines and tick marks. Requires Cartopy, EasyPlotLib, Matplotlib, and cnmaps.

```python
import cartopy.crs as ccrs
import EasyPlotLib as epl
import matplotlib.pyplot as plt
import numpy as np
from cnmaps import get_adm_maps

nrows, ncols = 1, 2
figsizes = epl.figsizes("nat2")

plt.style.use("nature")
plt.rcParams.update(figsizes)

china_map = get_adm_maps(level="省", engine="geopandas")
crs = ccrs.PlateCarree()


fig, axs = plt.subplots(
    ncols=ncols,
    nrows=nrows,
    subplot_kw={"projection": ccrs.PlateCarree()},
)
if nrows == 1 and ncols == 1:
    axs = np.array([axs])

for n, ax in enumerate(axs.flatten()):
    china_map.plot(ax=ax, edgecolor="black", facecolor="none", linewidth=0.5)
    ax.annotate(**epl.subplot_labels(n, "a", fontsize=12))
    gl = ax.gridlines(
        draw_labels=True,
        color="none",
        linestyle="dotted",
        transform=crs,
    )
    gl.top_labels = gl.right_labels = False
    gl.rotate_labels = False

    epl.cartopy_plot_tickmarks(ax, gl)
```

--------------------------------

### Create Subplots with EasyPlotLib Labels

Source: https://github.com/singledoggy/easyplotlib/blob/main/examples/example_plot.ipynb

Generates a figure with multiple subplots and automatically labels them using EasyPlotLib's subplot_labels function. Requires Matplotlib and EasyPlotLib.

```python
import cartopy.crs as ccrs
import EasyPlotLib as epl
import matplotlib.pyplot as plt
from cnmaps import get_adm_maps

nrows, ncols = 1, 2
figsizes = epl.figsizes("nat2", nrows=nrows, ncols=ncols)

plt.style.use(["nature"])
plt.rcParams.update(figsizes)
fig, axs = plt.subplots(nrows=nrows, ncols=ncols, sharex=True, sharey=True)

for n, ax in enumerate(axs.flatten()):
    ax.plot([1.0, 2.0], [3.0, 4.0])
    ax.plot([1.0, 2.0], [2.0, 5.0])
    ax.annotate(**epl.subplot_labels(n, "a", fontsize=12))
```

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