Python basemap examples. pyplot as plt import A quick demonstration of creating a basemap and plotting or drawing objects - simple_basemap_example. bilinear, zoom_adjust=None, timeout=None, **extra_imshow_args) # Add a (web/local) basemap to ax. It’s a matplotlib extension, so it has got all its features to create data visualizations, and adds the geographical projections and some datasets to be able to plot coast lines, countries, and so on directly from the library. add_basemap(ax, zoom='auto', source=None, headers=None, interpolation='bilinear', attribution=None, attribution_size=8, reset_extent=True, crs=None, resampling=Resampling. In this sec‐ tion, we’ll show several examples of the type of map visualization that is possible with this toolkit. Open the Python console in QGIS and load the downloaded Python script into the QGIS Python Editor. For example, a visualisation embedded within a dashboard or website with an existing color scheme. This can be made using a number of different tools, up to and including full-fledged GIS software, but we will use Contextily for a quick static basemap using Python. Still, Basemap is a useful tool for Python users to have in their virtual toolbelts. In this quick tutorial, I am going Python mpl_toolkits. Looking for a way to add base maps to your QGIS project? Our blog post covers the basics of adding basemaps in QGIS, including step-by-step instructions for popular basemap providers and plugins. Python Basemap Tutorial Below is a simple introduction the the Python module Basemap. Also have a look at contextily’s introduction guide for possible new features not covered here. Python <3. `Basemap` provides a simple and intuitive interface for creating maps, plotting geographical data, and performing various geospatial operations. In this section, we'll show several examples of the type of map visualization that is possible with this toolkit. When a Basemap class maplibre-gl-basemaps - A plugin for switching between raster basemaps. Basemap works alongside Matplotlib to allow you to plot via latitude and longitude coordinates. a python library like geopandas or basemap providing the information for common location like the US. maplibre-gl-map-to-image - Creates static image data from a map and sets it as the src of a target html image element. My map does indeed plot the points, but puts them in the wrong loc Basemap has got some documentation, but some things are a bit more difficult to find. There are a number of Basemap instance methods for plotting data: contour(): draw contour lines. 9. When a Basemap class Basemap tutorial ¶ Basemap is a great tool for creating maps using python in a simple way. pyplot as plt m = Basemap(projection='mill') m. Basemap has got some documentation, but some things are a bit more difficult to find. While going through the introduction, please refer to the Basemap documenation. Master basemap: Plot data on map projections with matplotlib. In this Matplotlib tutorial, we continue with the Basemap geographic plotting extension. Basemap has got some documentation, but some things are a bit more I am aware that the powerful package Basemap can be utilized to plot US map with state boundaries. To see which basemaps are available for use with the map widget, use the Map's basemap property to initialize a BasemapManager, and then use the basemaps property to return a list of basemaps currently configured with the organization: Basic background map with Python and Basemap Basemap is a python library allowing to build a map for any region of the world. Plot on map projections (with coastlines and political boundaries) using matplotlib - matplotlib/basemap I am trying to plot points on a map using matplotlib and Basemap, where the points represent the lat/long for specific buildings. The main purpose of this tutorial is to provide… Examples of basemap styles in these families are are arcgis/streets, arcgis/navigation, arcgis/outdoor, arcgis/imagery (satellite), open/osm-style, and open/streets. Download the Python script qgis_basemaps. Installation of Basemap is straightforward; if you're using conda you can type this and the package will be downloaded: The map has now an equidistant projection centered at longitude = 10 and latitude = 50, which is over Europe. Whether you are a data scientist, a GIS professional, or Still, Basemap is a useful tool for Python users to have in their virtual toolbelts. geometry import LineString, Point import matplotlib. The relevant Basemap methods are: drawcoastlines(): draw coastlines. Comprehensive guide with installatio An organization can configure many basemaps to use in web maps. These are just a few examples of the colormaps you can use, for more details and options, check out this guide from Matplotlib. Comprehensive guide with installatio Still, Basemap is a useful tool for Python users to have in their virtual toolbelts. py from this repository to your local machine. This tutorial will cover animated maps made with Basemap and Matplotlib. Without passing any option, the map has the Plate Carrée projection centered at longitude and latitude = 0 After setting the map, we can draw what we want. We will learn how to take a shapefile showing the path of the 2017 Solar Eclipse and create a map with a topographic basemap. basemap Apr 8, 2025 · In the realm of geospatial data analysis and visualization, Python has emerged as a powerful and versatile tool. 14,>=3. Basemap tutorial ¶ Basemap is a great tool for creating maps using python in a simple way. Parameters: axAxesSubplot Matplotlib axes object on which to add the basemap To do this, we need to import Basemap, pyplot, create the projection, draw at least some sort of outline or data, then we can show the graph. Ptufile: read and write PicoQuant PTU and related files (PHU, PCK, PCO, PFS, PUS, PQRES, PQDAT, PQUNI, SPQR, and BIN Setting up the map ¶ In order to represent the curved surface of the earth on a two-dimensional map, a map projection is needed. Contextily is a package that allows you to fetch various basemaps from the internet and add them to your plot as static images. These datasets can be used to draw coastlines, rivers and political boundaries on maps at several different resolutions. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Basemap has got some documentation, but some things are a bit more Basemap is a matplotlib extension used to visualize and create geographical maps in python. This example shows how you can add a background basemap to plots created with the geopandas . This blogpost shows how to use it to build a very basic world map. Since this cannot be done without distortion, there are many map projections, each with it’s own advantages and disadvantages. In this case, the coast lines layer, which comes already with the library, using the Using base-maps is a great way to provide more context to your geospatial data visualization, especially if the data set you study is placed in a dense urban setting. py Still, Basemap is a useful tool for Python users to have in their virtual toolbelts. The Basemap object has the field proj4string that has the string to be used with proj4 for calculating the projection parameters without using Basemap. Some are global, some can only represent a portion of the globe. To see which basemaps are available for use with the map widget, use the Map's basemap property to initialize a BasemapManager, and then use the basemaps property to return a list of basemaps currently configured with the organization: Using Python's GeoPandas, learn how to make simple, high-quality, and publication-ready maps without the need of a GIS application. py Christoph Gohlke • Irvine, California PhasorPy: an open-source Python library for the analysis of luminescence lifetime and hyperspectral images using the phasor approach. Being an intern at FORSK TECHNOLOGIES, I have explored quite a few Python libraries (Matplotlib, Pandas, Numpy, Seaborn, Shapefile, Basemap, Geopandas) which have really helped in plotting data Basemap User’s Guide ¶ Release: 2. Basemap is geared towards the needs of Earth scientists, particularly oceanographers and meteorologists. Jeff Whitaker originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. 0. One of the most prominent libraries for working with maps in Python is `Basemap`. show() The above code should give you something like: The example creates four examples to show different options Lines 14 to 25 read all the points, corresponding to lightning data, as explained at the section Reading point data. fillcontinents(): color the interior of continents (by The geopandas package is the best way to read those file formats with Python. An organization can configure many basemaps to use in web maps. google map or open street map. Installation of Basemap is straightforward; if you're using conda you can type this and the package will be downloaded: $ conda install basemap Welcome to the basemap documentation! ¶ Basemap User’s Guide Introduction Installation Setting up the map Drawing a Map Background Drawing and Labelling Parallels and Meridians Converting to and from map projection coordinates Plotting data on a map (Example Gallery) Basemap API mpl_toolkits. 0 Date: Jun 13, 2025 Introduction Installation Installing from PyPI Installing from conda-forge Installing from source Setting up the map Azimuthal Equidistant Projection Gnomonic Projection Orthographic Projection Geostationary Projection Near-Sided Perspective Projection Mollweide Projection Hammer Free base-maps for static maps using Geopandas and Contextily Learn how to add free base-maps in Python Contextily is a package for contextual tiles in Python. The main purpose of this tutorial is to provide… A quick demonstration of creating a basemap and plotting or drawing objects - simple_basemap_example. First, taking our starting code from the previous tutorial: from mpl_toolkits. Once you have basemap installed, you can use the following code to quickly show a simple map. I only scratch the surface of Basemap's potential and the examples below serve to introduce students to ploting in Python (and reminders for myself!). Specify credentials_prompt=Trueto have a user be prompted for their credentials when opening the HTML page to view private content. Installation of Basemap is straightforward; if you're using conda you can type this and the package will be downloaded: $ conda install basemap The Python Basemap example gallery (here) is a fantastic resource for learning how to plot GIS data in Python. I have adapted this example from Basemap GitHub repository to plot 48 states colored by their resp Examples of basemap styles in these families are are arcgis/streets, arcgis/navigation, arcgis/outdoor, arcgis/imagery (satellite), open/osm-style, and open/streets. Learn how to add context to your data and create custom base maps to enhance your analysis and visualization in QGIS The problem occurs that the extent of the basemaps within the subplots are restricted to the overlaid point data. I have used their tutorials in the past and will be using their methods for some of the content that follows. . from mpl_toolkits. Basemap (). Designing and creating a colormap gets even harder if you are attempting to make it fit in with a theme. I started this documentation to extend a little the original documentation and examples, but it grew a little, and now covers many of the basemap possibilities. Using Basemap The first step to using basemap is to import it using the command from mpl_toolkits. Supports various projections, overlays, and custom features for effective spatial data visualization. Create geographical maps in Python with Basemap toolkit. basemap import Basemap We then create a map object by typing = Basemap(projection = proj_type, kwds/args) where proj_type is a valid projection type, and kwds/args are additional keywords and arguments which may depend on the projection chosen. More examples are included in the doc/examples directory of the basemap source distribution. The first two lines include the Basemap library and matplotlib. Installation Precompiled binary wheels for Windows, GNU/Linux and MacOS are available on PyPI and can be installed with pip: python -m pip install basemap For specific details on how to install basemap through conda or from source, please refer to the Learn how to create a simple map in Python using the Basemap toolkit! In this quick tutorial, we'll guide you through installing libraries, setting up your Basemap object, and drawing a basic map Drawing a Map Background ¶ Basemap includes the GSHHG coastline dataset, as well as datasets for rivers, state and country boundaries from GMT. Both are necessary The map is created using the Basemap class, which has many options. basemap. Some projections require more parameters, described in each projection page at the manual. This makes use of the contextily package to retrieve web map tiles from several sources (OpenStreetMap, CartoDB). We’ll animate dots appearing on each capital city in the United States. We're going to show some of the customization options available to us. The first example shows the minimum use of hexbin. show() We can then start by zooming into specific Plot data on map projections with matplotlib basemap Plot on map projections (with coastlines and political boundaries) using matplotlib. Installation guide, examples & best practices. By default, only publicly viewable layers will be visible in any exported html map. I have this code: import pandas as pd import numpy as np from geopandas import GeoDataFrame import geopandas from shapely. Installation of Basemap is straightforward; if you’re using conda you can type this and the package will be downloaded: $ conda install basemap Setting up the map ¶ In order to represent the curved surface of the earth on a two-dimensional map, a map projection is needed. The data and styles for basemaps are provided by data sources known as ArcGIS Basemap services. maplibre-gl-export - Adds a control that exports the map as a PDF or images such as PNG, JPEG and SVG. How a basemap works A basemap is displayed with a basemap layer. drawcoastlines() plt. Plotting data on a map (Example Gallery) ¶ Following are a series of examples that illustrate how to use Basemap instance methods to plot your data on a map. How do I change it so that each subplot has a basemap that covers the whole subplot. Basemap () Examples The following are 30 code examples of mpl_toolkits. Liffile: read image and metadata from Leica image files (LIF, LOF, XLIF, XLCF, XLEF, and LIFEXT). The problem occurs that the extent of the basemaps within the subplots are restricted to the overlaid point data. Basemap provides 24 different map projections. How to plot those polygons? Once you get a geodataframe thanks to the geopandas package, geoplot is your best choice to build a static map Difficulty rating: Beginner Something that is often useful in planning is to have a basemap of the area in which you have data or an interest. Installation of Basemap is straightforward; if you're using conda you can type this and the package will be downloaded: $ conda install basemap Nov 16, 2025 · Master basemap: Plot data on map projections with matplotlib. Basemap is a matplotlib extension used to visualize and create geographical maps in python. Installation of Basemap is straightforward; if you're using conda you can type this and the package will be downloaded: $ conda install basemap Discover how to use the Matplotlib Basemap toolkit for creating various types of maps in Python, including static and interactive visualizations. The export_to_htmlmethod takes the current state of the rendered map and exports it to a standalone HTML file that can be viewed in any web browser. Reference Guide # Plotting basemaps # contextily. basemap import Basemap import matplotlib. plot() method. rqdh, fypge, i8wmy, grbr9, 5zc4ei, ib8vb, 2ilv, hizs, i3cl, jiwda,