Geopandas Plot Fullscreen - Python

Geopandas is a Python library used for working with geospatial (GIS) data. One of the most common tasks in GIS analysis is visualizing data on a map. In this tutorial, we will learn how to create a fullscreen map with geopandas.

Prerequisites

Before we get started, make sure you have Geopandas installed. If not, you can install it using pip:

pip install geopandas

You'll also need a shapefile or GeoJSON file to use for this tutorial.

Geopandas Plotting

Geopandas has built-in plotting functionality that makes it easy to visualize geographic data. To create a map, we'll use the plot() method of a GeoDataFrame.

import geopandas as gpd

# read in data
df = gpd.read_file('my_data.shp')

# plot data
df.plot()

The plot() method will create a basic map showing your data.

Creating a Fullscreen Map

By default, geopandas will create a map within the boundaries of the data. To create a fullscreen map, we need to adjust the size and aspect ratio of the plot.

import matplotlib.pyplot as plt

# set the figure size and aspect ratio
fig, ax = plt.subplots(figsize=(10, 10))
ax.set_aspect('equal')

# plot data
df.plot(ax=ax)

# show the plot
plt.show()

In this example, we create a figure with a size of 10x10 inches, and set the aspect ratio to "equal" to prevent distortions in the map. We then plot the data on the axis, and show the plot using plt.show().

Conclusion

Geopandas makes it easy to work with geospatial data in Python. With its built-in plotting functionality, creating visualizations of geographic data is simple and straightforward. By adjusting the size and aspect ratio of the plot, we can create fullscreen maps that allow us to explore our data in more detail.