If you are looking to get best resolution within your figure size without tweaking dpi, go for the magic function. Also you can turn off the interaction of the plot just by clicking the button on it.

Aug 15, 2020 · A simple tutorial on how to plot high resolution topographic map using GMT tools in Python

Feb 9, 2024 · Cartopy is a powerful well-known library perfect for plotting static maps with scalar or polygon data. It provides many built-in layers for land, water and administrative borders.

Sep 13, 2022 · I am looking for a way to easily plot a world map with a higher resolution compared to the built in resolution of Geopandas. To my knowing the built in dataset for a world map is only in low resolution: import geopandas world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres')) world.plot() plt.show()

Feb 2, 2024 · We can plot figures in high resolutions by setting high values of dpi in matplotlib.pyplot.figure() function. Syntax of matplotlib.pyplot.figure() : matplotlib . pyplot . figure(num = None , figsize = None , dpi = None , facecolor = None , edgecolor = None , frameon = True , FigureClass =< class ' matplotlib . figure .

Dec 20, 2018 · How to plot (lat, lon, value) data on a map using satellite background images at high resolution in python (notebooks)? I was crawling the whole internet but could not find anything useful. Folium does not provide satellite tiles.

Sep 2, 2024 · The PyGMT library in Python simplifies the creation of high-resolution topographic maps by providing built-in shorelines, country borders, and topographic data. By integrating geopandas, PyGMT enables users to overlay custom shapefile data, making it easy to highlight specific regions on a map.

Jan 6, 2022 · From an accuracy point of you, lower resolution datasets can also exaggerate features and make relatively flat regions look quite hilly. Topography of Italy plotted using a high resolution (7.5 arc seconds) and a low resolution (1 arc minute) data source.

Use python to plot topographic maps by reading the topographic files (shown example is for 20 and 1-arc minute global relief data). Higher resolution than basemap's "etopo()" or "shadedrelief()"

A python package to visualize and analyze geographical datasets. EOmaps aims to provide a comprehensive, flexible, well-documented and easy-to-use API to create publication-ready maps that can directly be used for interactive data analysis.