Plotting with cartopy. set_facecolor((198/255, 236/255, 253/255)) plt.
Plotting with cartopy 5] lats = [35, 36, 37. ] ax = plt. axes(projection=crs. pyplot as plt # plotting tool import Plotting in Different Projections# This example shows how to overlay data and graphics in different projections, demonstrating various features of Iris, Cartopy and matplotlib. You might remember seeing nnshow in this place: egh. 12 Matplotlib: 3. Making Plots Using Matplotlib; Maps using Cartopy. Lets create another map in a different . Further information on SubX is available from Pegion et al. patch import PolygonPatch import cartopy. add_subplot(1, 1, 1, projection=ccrs. proj = ccrs. CartoPy is a Python library Animated Cartopy/Matplotlib Plot (Created By Author) I think these animated plots are pretty fun. From context it looks like the extent is specified in geographic coordinates, in which case the solution should be to use How to properly set projection and transformation in cartopy geoaxes in matplotlib plotting. This discontinuity is here Your code leaves cartopy to dictate the order of feature plots on the map, as a result, some features can be hidden with no clues. 0 In order to do this, we’re going to use cartopy projections and change axes attributes: [10]: If the data you are plotting is in latitude/longitude coordinates then the correct value for the transform keyword is indeed ccrs. The first thing I tried was very similar to the example in the docs under the 'Adding Data to the Map' section. js library. patches as mpatches map_proj = ccrs. k. Making Maps using Cartopy; Making multi-panel plots using Cartopy; Plotting weekly forecasts for all models I'm trying to do a Contour Plot having the Global Map in background. In my simple example, I am trying to plot 3 points but they are getting doubled. pyplot as plt from metpy. While these questions specifically pertain to plotting LCC data in multiple projections, it also applies to the use of cartopy in general in that I would like to better understand the logic/process of plotting using cartopy. # Some info about the clipped raster From your quote: It seems that streamplot function cannot place/draw correctly streamlines over a cartopy map when longitude data is in [0,360] range, you already know it. PlateCarree(). 0) map_proj. plot(). The assignment is: Use the orthographic projection, centered on Hamburg, and draw the great circle path between Hamburg and Tokyo import cartopy import car A list of the available projections to be used with matplotlib can be found on the Cartopy projection list page. Simple Cartopy plots of e. The main difference is that I compressed the geotiff with: gdal_translate -co "TILED=YES" -co "COMPRESS=JPEG" manhattan. The integration with Matplotlib library is perfect and almost all his plot features remains as easy as working with cartesian coordinates, Resulting in very intuitive scripts Some problems appear when we want to animate our NEMO results. 6) # plot point in Axes coordinates ax. This tutorial will lead you through some basics of creating maps with specified projections using Cartopy, and adding geographical features (like coastlines and borders) to those maps. Plot surface air Using cartopy and projections for plotting Reading AERONET data with pandas Reading MODIS data with xarray Read MODIS Terra/Aqua netcdf as xarray Save files from bucket to bucket Save small local files to forces Search and Load Your code leaves cartopy to dictate the order of feature plots on the map, as a result, some features can be hidden with no clues. prj file. On top of that there is a big toolkit for reading in images, finding data from standard web feeds, and manipulating geographical objects. EuroPP()) ax. crs as ccrs lons = [214. Cartopy Cartopy comes with powerful vector field plotting functionality. util. So try adding transform=ccrs. This is my code: Plotting with CartoPy and GeoPandas¶. plot. - xarray_wrap_around_pixel_demo. AlbersEqualArea assumed from PROJECTION["Albers"]), but I am not sure how to identify the correct one from And you did answered my second question. LambertConformal()) ax. This example steps through a round-trip transfer Your transform argument for imshow is almost certainly incorrect. axes(projection=ccrs I'm looking to plot a shapely polygon on a Cartopy map. This discontinuity is here because of the lack of data. Exploring some of Cartopy’s map projections. 72, 46. Please note: even with this code, it is possible to tweak the sample data resolution and find that the plot takes ~30 minutes to actually render (that is a bug which we will need to sort sooner rather than later). First, the imshow method needs the image boundary information that cannot be obtained. Such a mask can easily be created based on a rasterized map for land or ocean. crs as crs import matplotlib. Image produced by basemap: Image produced by cartopy: Code to reproduce. 3. 4, NumPy and Shapely libraries and includes a programmatic interface built on top of Matplotlib for the If you want to plot wind vectors, you're looking for quiver() from matplotlib (CartoPy just provides a projection-aware version):. Creating regional maps. Plotting with salem¶. These projections augment the machinery of matplotlib to allow for How do I add map features to a CartoPy plot?\n", "\n", "### Objectives\n", "1. The transform argument to plotting functions tells Cartopy what coordinate system your data are defined in. where to import cartopy. It has When working with geospatial data, it's common to plot maps in polar regions When you add the projection keyword argument to the generic plt. _threshold /= 100. This example steps through a round-trip transfer Cartopy inherits all its vector plotting functionality from matplotlib. Combined with matplotlib is works well for making contour plots of maps for Climate Data Analysis. Inventory or Catalog objects can be performed with builtin methods, see e. There are 3 distinct options for visualising vector fields: quivers ( example ), barbs ( example ) and streamplots ( example ) each with their own benefits for displaying certain Since xarray’s default plotting functionality builds on matplotlib, we can seamlessly use cartopy to make nice maps: Specify a projection for the plot when creating a new figure fig with axis axis. What is Folium? Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet. It turns out that the ax. crs as ccrs dset = xr. First, Plotting with CartoPy and GeoPandas¶. My lat/long data is in two seperate columns of an Excel spreadsheet. figure (figsize = [12, 5]) # 111 means 1 row, 1 col and index 1 ax = fig. I'm guessing the performance issues you're seeing are somewhere in your own plot. My data has dimensions (time:1000,z_t:60, nlat:384, nlon: 320). Triangulation object and would like to plot it with matplotlib. figure I want to plot a vector field with vectors representing a displacement between one point to another on the map with cartopy. The cartopy. transform, and the image height and width to give a bounding box: [xmin, xmax, ymin, ymax]. However, I can't work out why the contouring is different compared to stand alone cartopy. 4, numpy and shapely libraries and includes a programatic interface built on top of Matplotlib for the creation of publication quality maps. If we are going to plot anything then we need to Trying to plot a survey transect on a map using Cartopy, a library seriously lacking in online information compared to others. arange(90, -90. This post is a quick example on how to read geotiff images with GDAL and plot them with Cartopy. This works correctly in Basemap's contourf, but with the same data in cartopy there are mysterious blank spots in the plot. CartoPy supports all of the matplotlib plotting options you would expect on a map. PlateCarree() shift90E = Cartopy's maps are great, but they are not interactive. zip. mpl. show() I have checked your HDF5 file, and there are Longitude and Latitude variables in the file. That is the left extent of the figure does not work as expected. The example went roughly like this: The following examples show off the functionality of Cartopy. Any thoughts? import cartopy. The line plt. The order of features plot is controlled by zorder, which can be specified with zorder=integer in most plotting statements. 0 (2021-03-02)' __author__ = 'Mathew Lipson' __email__ = 'm. I came up with a problem when plotting a map with this package. zip Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. 18. feature_artist. 1 The envionment that fails: OS: Windows 10 Python 3. Credits go to: the asker, ImportanceOfBeingErnest, and ajdawson. json", country = 'Brazil'): reader Plotting Map Projections with Cartopy. The folium package allows you to plot interactive maps for webpages. 7 broke after upgrading to Mpl 1. The only thing I struggle with, is getting a tissot circle (used to show the view cone of our telescope. 2 or more. PlateCarree() shift90E = Demo using cartopy. geodesic as cgeo import cartopy. gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER At first I tried using matplotlib to plot the points and cartopy to add the basemap (Version 1 in my code). 5877) in North polar stereographic projection is a very small region near the North Pole, which is not within your desired map extent. It has a slightly different way of representing Coordinate Reference Systems (CRS) as well as constructing plots. Cartopy also doesn't accept longitudes greater than 180, and you probably won't get away with stream plotting the whole thing. The transform argument tells cartopy what coordinates your data are in, and is completely independent of the projection you want to plot onto. In conclusion, the contourf seems to be I'm curently trying to plot hdf5 files after switching them from hdf4. mplot3d import Axes3D from mpl_toolkits. This example steps through a round-trip transfer To plot Dataset objects simply access the relevant DataArrays, i. healpix_show is it’s successor. nc') lats = f['lat'][:] lons = f['lon'][:] x = f['aot_869'][:] #plot ax = From your quote: It seems that streamplot function cannot place/draw correctly streamlines over a cartopy map when longitude data is in [0,360] range, you already know it. Vector plotting It works! Thanks! Also, do you know if the cartopy arguments for the pole latitude and pole longitude from above are the same that I would supply to the NetCDF CF rotated pole parameters: (grid_north_pole_latitude = 36. It is less flexible than cartopy, but it was created to overcome some of cartopy’s limitations (e. In this post we'll try to solve some of then The following example show how one should produce a polar stereographic plot with cartopy. However, Shapely, which CartoPy uses, does. Imports# The following imports are necessary for all of the examples. I have a file with spatially varying nans and the plotting functions seems to struggle with this. circle function (documentation) to generate a ring of points with a specified I know this is an old post, but I'm trying to learn more about cartopy, and I think I can answer this question now, maybe this could help others with a similar problem. Explicitly ask xarray to plot to axis axis Cartopy makes use of the powerful PROJ. This example steps through a round-trip transfer but when I plot using Cartopy it is off I obviously use the incorrect projection (crs. Mercator()) ax. My code works as expected when using the PlateCarree() transformation, but arrow length is Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; Similar and excellent questions and answers are available for Basemap here, and for Cartopy in Ortographic projection here. In this example, we will first use Geopandas to load the geometries (volcano point data), and then create the I'm supposed to draw a map using cartopy. To setup a Cartopy plot we’ll need to create a matplotlib figure and add a subplot to it. crs as ccrs import numpy as np import matplotlib. There are many different Python packages that could draw maps, such as basemap, cartopy, folium and so on. import numpy as np import matplotlib. This allows you to manipulate your data in Geopandas and visualize it on a Leaflet map via Folium. feature. contourf(ax=ax,transform=proj,cmap="magma * fix facecolor plot * temp version * finish fix facecolor + solves #3169 * black formatting * add testing * allow cartopy projection to be a kwarg * fix PEP8 comment * black formatting * fix testing, plt not in parameterize * fix testing, allows for no matplotlib * black formating * fix tests without matplotlib * fix some mistakes * isort The accepted solution does not really mask the data, the plot is simply covered in parts by overlying a map. GeoAxes class uses either cartopy or basemap as “backends” to format the axes and plot stuff in the axes. plot function is the solution. I'm also not sure how to pass settings for the plt. figure(num=None, figsize=(8, 6), dpi=80, edgecolor='k') Plotting with CartoPy and GeoPandas¶. plotting data from netcdf with cartopy isnt plotting data at 0 longitude. crs as ccrs import matplotlib. Cartopy contains several helper functions for plotting different kinds of data, and they all are attributes of the GeoAxes This section contains tutorials on plotting maps with Cartopy; Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses. pyplot. ) Exploring some of Cartopy’s map projections. I want to mark some location (lat,lon) on a cartopy map by a small image/icon. With the code below, a temporary figure is created, In my situation the plot takes place, but the program hangs when I move the mouse over the plot or over the toolbar. To make the plot circular you'll need to I'm using cartopy to produce a map of the Arctic with stereographic projection and then plotting a line (to show the position of a cross-section) over the top. lipson@unsw. Plotting with CartoPy and GeoPandas¶. pyplot as plt import cartopy import cartopy. pyplot as plt from mpl_toolkits. Next we need to define the layer’s projection as a Cartopy CRS object. Since both quiver() and barbs() are visualisations which draw every vector supplied, there is an ###SST CÓDIGO PLOT import numpy as np import matplotlib. add_feature(cartopy. ipynb. 2, but in some regions can reach 1. A few details: Cartopy is the default backend. Plotting with cartopy# The easygems package provides some convenience functions for plotting with matplotlib, so let’s use it as well. LambertConformal (central_longitude =-85. crs as ccrs from cartopy. e. Geoplot is a Python library providing a selection of easy-to-use geospatial visualizations. colors import BoundaryNorm, ListedColormap Cartopy is the best solutions I found to plot the NEMO results. The following code to display the spherical harmonic computed in the last The plot is then saved as a world map with no borders at 4000x2000 pixels resolution - see: import matplotlib. Converting between GeoPandas and CartoPy for visualizing data. 0, grid_north_pole_longitude = -106. axes() with a projection argument. Below is an example using matplotlibBasemap. Inventory. projection) defines a set of projections which are useful in defining the desired projection of a plot. I am trying to plot data from the DSCOVR Satellite onto an orthographic projection and add coastlines to the image. set_facecolor((198/255, 236/255, 253/255)) plt. pyplot as plt import # Add countries ax. Having in mind that my data have LON and LAT values, I decided to use Cartopy with MatplotLib. We wish to overlay two datasets, defined on different rotated Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. Sometimes this autoscaling is a desirable feature I would like to use the cartopy plotting function associated with xarray. The environment that works: OS: Windows 10 Python 3. how can I do that ? import cartopy. To start, we’ll create the simplest possible world map. PlateCarree(central_longitude=180) usemap_proj. img_tiles as cimgt import cartopy. pyplot as plt from numpy import pi from mpl_toolkits. plot() or I'm trying to plot global Aerosol Optical Depths (AOD), and the values are typically around 0. It works by introducing a series of projections associated with the axes of a graph. of course, we also need some model output data: I'm making a scatter plot with latitude and longitude with this code. How can I plot on a map the data from the variable "r" (relative humidity) of a NetCDF file with cartopy? from netCDF4 import Dataset import cartopy. It is built on top of the lower-level CartoPy, covered in a Using cartopy and projections for plotting Reading AERONET data with pandas Reading MODIS data with xarray Read MODIS Terra/Aqua netcdf as xarray Save files from bucket to bucket The transform argument to plotting functions tells Cartopy what coordinate system your data are defined in. rst Plotting with salem¶. I'm trying to use cartopy to plot a map of Earth with only 2 colors. tif')) Here is a database of our demCartopy raster. I suspect either the projection or the bounds to be misspecified. tutorial. Since both quiver() and barbs() are visualisations which draw every vector supplied, there is an Using cartopy, I could plot the data using the following code: import numpy as np import pandas as pd import gzip from netCDF4 import Dataset,num2date import time import matplotlib. load_dataset ("air_temperature") Multiple plots and map projections# This example illustrates how to plot multiple maps and control their extent and aspect ratio. The proplot. Here is the plot: This is done via the transform= keyword in the plotting method. feature, because the land that cartopy. Here is a working code that you can experiment with. import matplotlib. html. basemap import Basemap m = Basemap(projection='merc', llcrnrlat=52. crs. scatter seems fail due to an overlay problem, since I've added something else on the map, adding a zorder I am trying to make a Choropleth map using matplotlib and cartopy for which I obviously need to plot a shapefile first. 4, numpy and shapely libraries and Cartopy comes with powerful vector field plotting functionality. Plotting Examples¶ The examples below show how wrf-python can be used to make plots with matplotlib (with basemap and cartopy) and PyNGL. The following Python code produces a good view of Western Europe: import matplotlib. import cartopy. – I am trying to plot a SAR image, in TIFF format and containing the following projection arguments, using Cartopy. I did not have any problems when doing contour plots on similar maps. PlateCarree() f, ax = plt. Because cartopy implements a GeoAxes class, this equates to the limits of the resulting map. stock_img() img = plt. feature as cfeature I'm supposed to draw a map using cartopy. The idea is that if I have a location (lat/lon) and a vector (wind speed, for example), import xarray as xr import numpy as np import cmocean # for perceptually uniform colormaps import cartopy as cr # for geographic mapping import cartopy. pyplot as plt fig = plt. ShapelyFeature. I followed some examples and i cant understand why my plots have a white line in the middle. I try to customize plots in longer vertical size with subplots using cartopy, but still can't figure out how to increase height of each plots (vertical height). I want to plot a cortourf map where the colors attend to avilability like this: Gray 0-90%, blue 90-95%, green 95-98%, yellow 98-99%, red 99-100% import cartopy. Cartopy: Provides cartographic tools. dset['var1']. In the following example, we’ll read the Natural Earth ne_110m_admin_0_countries. 0, central_latitude = 45. plot(*p_a, transform=ax. show() Geographic backends¶. shapereader as shpreader import cartopy. In [5]: import os import shapefile from json import dumps def shape2json (fname, outfile = "states. Read a file from an remote OPeNDAP server and make a contour plot of the data; Read Fortran Binary Data Files; Climate Data Analysis Xarray. The longitude and latitude for the points, I want to plot, are stored in two seperate lists with floats (lon, lat), like this: Cartopy's maps are great, but they are not interactive. However, I am struggling to get it to show up over the map, any thoughts? Code is: import pandas as pd from matplotlib import pyplo If the data you are plotting is in latitude/longitude coordinates then the correct value for the transform keyword is indeed ccrs. kd_tree. py Demonstrate how to plot US counties at all three available resolutions. tif. I am trying to plot ocean temp at a particular depth and time. PlateCarree()) sets up a GeoAxes instance which exposes a variety of other map related methods, in the case of the previous example, we used the coastlines() method to add coastlines to the map. Here is a minimum working example: from matplotlib imp Produces a map of ocean seafloor depth, demonstrating the cartopy. It handles This notebook will demonstrate how to make multi-panel contour plots with Cartopy, including adding a single colorbar and title for all panels. Cartopy also doesn't accept longitudes greater I plotted the cyclone density data on a Cartopy NorthPolarStereo projection, but there is an obvious shift in the density around the discontinuity. pyplot as plt from mpl Introduction#. 3 Facing weird problem when When plotting with matplotlib and cartopy's NorthPolarStereo projection, the constant-latitude gridlines (parallels) are not smooth circles. 3 Facing weird problem when {"payload":{"allShortcutsEnabled":false,"fileTree":{"docs/source/howtos":{"items":[{"name":"configuration. First we’ll create some dummy data defined on a regular latitude/longitude grid: Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. add_subplot (111, projection = ccrs. The problem is that u and v are 4-dimensional, so you need to squeeze out the "depth" dimension. crs module (CRS = coordinate reference system a. I am using Matplotlib and and cartopy. a. 0, Plot a simple map with cartopy from cartopy import config from matplotlib. If you don’t specify a transform, Cartopy assume that the data is using the same projection as the underlying GeoAxis. feature as cf from matplotlib. This allows us to visualize spherical harmonics appropriately on a sphere! I had previously worked out how to do all of this with Basemap, but it seems that Cartopy is slated to replace Basemap. 0 Cartopy: 0. - harmonpr/plot-UV-wind xarray basic plotting options are enough to make quick plots, but for your paper’s figures you probably want to have more options. axes (projection = ccrs. Using libraries like xarray and cartopy, we can quickly select the data that we Cartopy makes use of the powerful PROJ. 7, 197. However, I would like to use the NorthPolarStereo in Cartopy. Projection to the proj keyword), the returned axes is a subclass of Plotting with Folium#. Here is a modified code that produces a better plot. An alternative would be to plot with ax. Explicitly ask xarray to plot to axis axis by passing the kwarg ax=axis. Cartopy is a neat Python package for plotting map data. However, due to projection constraints, it also affects the width. g. Before writing any heavy code, the Cartopy and Matplotlib libraries in python should be installed. open_rasterio(os. 5. To make the plot circular you'll need to Hi, everyone. However, the produced map is cut off at the side and I cannot figure out why. This is common gotcha for new users. 5, 2. 0) fig = plt. We can fix that by plotting the same data over a folium Map instance. pyplot as plt import xarray as xr % matplotlib inline Load example dataset: [2]: ds = xr. I'm following along the Pyresample example for plotting a Sentinel-3 Scene along with coastline. 3 Cartopy: 0. When I pass the cartopy projection as a transformation to triplot with transform=projection , as I would do for plotting a line, not all triangles are drawn and I get an Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. I am a new user of Cartopy. The assignment is: Use the orthographic projection, centered on Hamburg, and draw the great circle path between Hamburg and Tokyo import cartopy import car (Source code) Vector plotting#. pyplot import figure import cartopy. This allows us to visualize spherical harmonics appropriately on a sphere! I but when I plot using Cartopy it is off I obviously use the incorrect projection (crs. It handles Converting between GeoPandas and CartoPy for visualizing data. pyplot as plt proj = ccrs. tri. quiver(lon, lat, u, v, transform=ccrs. My shapefile has the projection 3. png') #the image I want to add on the map plt. But most of time, we only need to plot a static map to show some spatial features, and basemap and To plot the image using Cartopy we need to know it’s extent. __title__ = 'Plot OpenStreetMap site map' __version__ = 'v1. pyplot as plt #get data f = Dataset('data/matt. crs as ccrs import cartopy. linspace Plotting with CartoPy and GeoPandas¶. feature as cfea import matplotlib. CartoPy is a Python library that specializes in creating geospatial I've been trying for a while now to plot vector field with uncertainty ellipses in Cartopy. _threshold /= 20. Plotting with CartoPy and GeoPandas¶ Converting between GeoPandas and CartoPy for visualizing data. feature provides differs from the model’s land mask. Creating a basic map is as simple as telling matplotlib to use a specific map projection, and then adding some coastlines to the axes: Learning core Cartopy concepts: map projections and GeoAxes. \n", "\n", "### Questions\n", "1. PROJCS["WGS 84 / EPSG Norway Polar Stereographic", GEOGCS["WGS 84&qu Plotting wind components with xarray and cartopy libraries. 2 AttributeError: 'AxesSubplot' object has no attribute 'coastlines' 0 incorrect output using numpy. shapereader package to read the shape data and then convert the geometry we want to display to a cartopy. Here the steps are varied depending on what kind of data is being plotted. m = plt. I assume that this is because of the transforming of the data grid onto a Cartopy grid, but not sure how to solve it. Cartopy provides a way to project the vectors, but they are drawn by matplotlib. Cartopy comes with powerful vector field plotting functionality. Let’s add continents and a projection using cartopy: import matplotlib. Analysis using Xarray; Plotting using Matplotlib. (I already checked the data and the matrices are full with numbers, no NaNs) Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. 75, -0. Here is a runnable code and output. subplots(subplot_kw=dict(projection=proj)) ax. patches as patches import matplotlib. crs as ccrs import numpy as np noproj = projection=ccrs. I also tried the pcolormesh method, but this method can not accept lon/lat array with NaN value. CartoPy is a Python library that specializes in creating geospatial Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. CartoPy is a Python library that specializes in creating geospatial visualizations. PlateCarree() to your plotting commands. PlateCarree()) ax. First: read the geotiff image with (Source code) Vector plotting#. Trying the latter approach, just This question is in regards to plotting some data I have that uses the Lambert Conformal (LCC) CRS. Cartopy is built on top of a lot of the matplotlib graphing tools. 2019 and the SubX project website. There are 3 distinct options for visualising vector fields: quivers (example), barbs (example) and streamplots (example) each with their own benefits for displaying certain vector field forms. I plotted the cyclone density data on a Cartopy NorthPolarStereo projection, but there is an obvious shift in the density around the discontinuity. Making Maps using Cartopy ¶. nc") tas = dset I'm beginning my journey with gridded data, and I've been trying to plot some temperature data from a netcdf file with cartopy. I can confirm that with some coding and output plots below. crs I'm trying to display some data with cartopy. BORDERS, facecolor="green") # plot maps/images temp=img. I've looked across both Cartopy and shapely documentations, as well as looked over various solutions across StackOverflow, and nothing seems to work, and I'm not sure as to why. 1 Display latitude and longitude values on x and y axis. The image, and most of the code, is from Kelsey Jordahl original notebook. shapereader. Here is my code: from matplotlib import pyplot as plt from cartopy import config import cartopy. Reprojecting images from a Geostationary projection. TransverseMercator() proj_cart = ccrs. 1 I am trying to plot some bathymetry data using cartopy. How do I specify a map projection?\n", "1. My Cartopy 0. edu. For more examples, tutorials, and guides on how to use Cartopy, Plotting the Aurora Forecast from NOAA on Orthographic Polar Projection. I've seen a few other questions on this topic, but the library has changed enough that the answers to those no longer seem to apply. au' import os import numpy as np import matplotlib. pyplot as plt ds = Dataset('relative_humidityEne_Dic2003_2020CMAS. This notebook will demonstrate how to make map contour plots using This question is in regards to plotting some data I have that uses the Lambert Conformal (LCC) CRS. I have displayed a one dimensional NetCDF dataset using Cartopy/Matplotlib, and want to display values of this data at specific points on the map (formatted in lat,lon), as shown in the following example image: I have sifted through Matplotlib/Cartopy documentation, and believe that the pyplot. CartoPy is a Python library that specializes in creating geospatial It's of course perfectly valid to plot in a different projection than the input data, but it's good to be aware when doing so. shapereader import Reader from cartopy. The code you posted runs in ~45ms on my system. add_subplot(111, projection=ccrs. In the code below, I define my projection and plot the axes. However, it seems as if pyresample. Above, the prerequisite libraries are imported and ready CartoPy supports all of the matplotlib plotting options you would expect on a map. axes function, you’re instructing matplotlib (via cartopy) to, instead of creating a regular AxesSubplot object to plot data on, create a GeoAxesSubplot object. I am trying to do a scatterplot on a map with Robinson Projection. shapereader as shpreader import It works! Thanks! Also, do you know if the cartopy arguments for the pole latitude and pole longitude from above are the same that I would supply to the NetCDF CF rotated pole parameters: (grid_north_pole_latitude = 36. Rasterio used to include an example for plotting a rasterio raster on a Cartopy GeoAxes. I slice out a section of the data and plot it over a Mercator projection. coastlines() # define point p_a = (0. healpix as egh. 1 Cartopy: Convert point from axes coordinates to lat/lon coordinates. 9526, 54. . I would like to create a plot with a Cartopy plot on the left-hand side and two stacked Matplotlib plots on the right-hand side. Then add coastlines so the graph has a visible element. The argument is another cartopy. From the outset, cartopy’s purpose has been to simplify and improve the quality of mapping visualisations available for scientific data. 0, llcrnrlon=19. AlbersEqualArea assumed from PROJECTION["Albers"]), but I am not sure how to identify the correct one from the . Cartopy makes use of the powerful PROJ, NumPy and Shapely libraries and includes a programmatic interface built on top of Matplotlib for the creation of publication quality maps. 0,urcrnrlat=58. There are 3 distinct options for cartopy is the Python map plotting package that is developed out of the UK Met office. 5 Plot winds vector from netcdf using python. Thanks to the simplicity of the cartopy interface, in many cases the hardest part of producing such visualisations is getting hold of the data in the first place. 0, central_longitude=80. feature import ShapelyFeature fname = Plotting Map Projections with Cartopy. use('Agg') import cartopy. 3, so i cant test it for you. A Python library for cartographic visualizations with Matplotlib For plotting skymaps I just switched from Basemap to cartopy, I like it a lot more . This example steps through a round-trip transfer I am trying to make a Choropleth map using matplotlib and cartopy for which I obviously need to plot a shapefile first. Create a basic For this I needed to plot a satellite or map-style image, along with a series of randomly placed markers so I can later count and document the fractions of different areas; buildings, streets, vegetation, water etc. The trick is to save the shapefile as a GeoJSON and plot it with folium's . Depending on where I set the projection for ax the basemap is not drawn at all or on top of everything without the wanted extend (-> whole earth is shown). pyplot as plt import numpy as np import cartopy import cartopy. the impossibility to add tick Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. nc', 'r') lon = ds. Specify the projection of the data using transform (PlateCarree here) in . Salem comes with a homegrown plotting tool. You can easily plot data on maps, overlay different layers, and customize the appearance of map elements. Full code in . I haven't heard of a feature you describe in matplotlib, so I'm afraid the answer is probably no. figure(figsize=(12,7)) # this declares a recentered projection for Pacific areas usemap_proj = ccrs. How do we plot on a map in Python?\n", "1. I have managed to build a basemap, and my script for that is as follows: Here is a runnable code. feature as cfeature from cartopy. This is successful on a platecarree projection, but when I try to switch to a south polar stereographic projection (using cartopy), my plot is wrong. CartoPy is a Python library that specializes in creating geospatial The plot is then saved as a world map with no borders at 4000x2000 pixels resolution - see: import matplotlib. But shouldnt you specify the coordinates of the data your plotting? If you dont, i think coordinates are assumed to be equal to the axes projection. patheffects as pe import cartopy import cartopy. This is planned for a future release. crs as ccrs import pandas as pd import cartopy %matplotlib inline import numpy as np import cartopy. axes. PROJCS["WGS 84 / EPSG Norway Polar OK, I downloaded the data. 75) longitude = np. Cartopy has exposed an interface to enable easy map creation using matplotlib. crs as ccrs fig = plt. pyplot as plt from matplotlib import ticker #import proplot plt. Being able to see how the values change over the land and ocean along with the corresponding dates really helps show the By default, Matplotlib automatically sets the limits of your Axes based on the data that you plot. triplot . Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses. figure(figsize=(10, 10)) ax = plt. Cartopy makes use of the powerful PROJ. coastlines <cartopy. Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor. pyplot as plt import os import matplotlib as mplt #mplt. pyplot as plt %matplotlib inline latitude = np. path. It produces a map that looks ok but I get the * fix facecolor plot * temp version * finish fix facecolor + solves #3169 * black formatting * add testing * allow cartopy projection to be a kwarg * fix PEP8 comment * black formatting * fix testing, plt not in parameterize * fix I am trying to plot a SAR image, in TIFF format and containing the following projection arguments, using Cartopy. join(path, 'DEM', 'clippedRaster. Orthographic(central_latitude=0. 16. shp and Note that there’s an easier way to plot Natural (Source code) Vector plotting#. It produces a map that looks ok but I get the following error, IllegalArgumentException: Invalid number of points in LinearRing found 3 - must be 0 or >= 4 Shell is not a LinearRing The short answer is that no, CartoPy does not have any built-in clipping operations. 0 Coordinate system transformation. How can I extract the necessary information and plot the shapefile using Cartopy without having to guess the projection? To create a cartopy plot, simply set a variable (m for map) to plt. This is what I get. We can use Cartopy's . The problem is that I can plot my but when I try to integrate the data with the map the Cartopy map override my data plot. axes(projection=ccrs. First we’ll create some dummy data defined on a regular latitude/longitude grid: import numpy as np lon = np. Reader interface. 8. They illustrate the kinds of things you can do with this library. Let’s look at what xarray can do! NB: For this to work, you need the version of xarray >= 0. PlateCarree()) Create a land mask for plotting, set land cells to 1 and rest to NaN. I am trying to plot some bathymetry data using cartopy. plots import USCOUNTIES. In [1]: I want a plot with two subplots, one larger with a map and second smaller with a scatter plot. figure(figsize=[12,12]) proj = ccrs # Plot the raster in cartopy demCartopy = rioxarray. feature as cfeature import matplotlib. ExcelFile("path I am trying to plot map points using Cartopy with Anaconda Python but am getting some strange failures with the transform. ipynb form: cartopy_plotting. I'm trying to draw a straight line from Adelaide, Australia to Liverpool, UK on my Robinson projection. And now plot! I have a csv with 3 columns: latitude, longitude and availability percentage. pyplot as plt import cartopy. crs as ccrs import geopandas This might be a little late, but there is a convient function in Cartopy for this. ) Somehow, using shading='flat' in pcolormesh solves the rendering speed problem, although I get a warning: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3. This tutorial will lead you through some basics of creating maps with specified projections using Cartopy simplifies the process of creating maps and visualizing geospatial data. I have a simple piece of code and satellite data that works as intended with Cartopy's default projection "PlateCarree": import cartopy. In engineering and science, many times, we have to interact with maps. Since xarray’s default plotting functionality builds on matplotlib, we can seamlessly use cartopy to make nice maps: Specify a projection for the plot when creating a new figure fig with axis axis. The data is a series of 10m resolution nested polygons obtained from Natural Earth, derived from the NASA SRTM Plus product. 20. rst","path":"docs/source/howtos/configuration. I am using cartopy for plotting map. io. Ideally I want to plot these high values, import cartopy. crs as ccrs import os from netCDF4 import Dataset as netcdf_dataset from cartopy Plotting with CartoPy and GeoPandas¶. ax Vector plotting¶. Read comments in the code for information. crs as ccrs from cartopy import feature from netCDF4 import Dataset import matplotlib. This example steps through a round-trip transfer How to properly set projection and transformation in cartopy geoaxes in matplotlib plotting. I got some trouble working out the longitude and latitude variables in the file, both of them have a shape (4224, 3) which I guess correspond to 1 : the number of values and 2 : the starting/middle/ending granule point of the satellite. 0715, 15. figure(figsize=(10, 5)) ax = plt. However, I did not manage to do so, even though a Cartopy Plots Cartopy Plot with Custom Projection Setup . basemap import Basemap from netCDF4 import Dataset import pandas as pd from scipy import stats import seaborn as sns import xarray as xr import cartopy. So I think these WGS84 coordinates should be used. This is preferred over cartopy. imshow (assuming it's [EDIT with the solution] My initial confusion came from the fact that projection applies to the plot, while transform applies to the data, meaning they should be set different when they do not Glad it was helpful! Let me see if I can help with projection and transform too The projection kwarg used when creating an axes defines how a plot will look: the Plate Carree plot Plotting with Geoplot and GeoPandas#. open_dataset("tas_EUR-11_IPSL-IPSL-CM5A-MR_rcp85_r1i1p1_GERICS-REMO2015_v1_mon_201101-202012. If I'd only use Matplotlib plots, the code would be as follows. pyplot as plt from descartes. add_feature(cfeature. figure() ax = fig. colorbar. This is the interesting part. This is important for a few reasons: Both parameters accept cartopy CRS objects (see the full list of values they accept in their definition). Cartopy is a Python map plotting package. An image extent of (2. Since both quiver() and barbs() are visualisations which draw every vector supplied, there is an Somehow, using shading='flat' in pcolormesh solves the rendering speed problem, although I get a warning: MatplotlibDeprecationWarning: shading='flat' when X and Y have the same dimensions as C is deprecated since 3. 6, 0. The lands, filled in white and the ocean in dark for example. I don't see any errors. How do I tell CartoPy how to reference my data I'm playing around with cartopy trying to understand how it works. tif manhattan2. Geography with Cartopy#. Dataset specific plotting routines are also available (see Datasets). My function looks like this: import matplotlib. shading']. This is calculated using the 6 parameter affine transformation, src. add_cyclic_point with an xarray Dataset to add a cyclic or wrap-around pixel to the `lon` dimension. There are 3 distinct options for visualising vector fields: quivers (), barbs and streamplots () each with their own benefits for displaying certain vector field forms. Plot Data. Making Plots Using Matplotlib; Maps using Cartopy I am using cartopy to plot some part of the world, and try to extract the matplotlib figure as a numpy array made of the values of the figure's pixels. I read the NetCDF file with xarray and tried to plot it with the non-rotated coordinates available: import xarray as xr import matplotlib. FeatureArtist at 0x7f6f624c7d00> In order to display shapefile data in Cartopy, we can first use the cartopy. json", country = 'Brazil'): reader To plot inset maps as parts of a main map is challenging. PlateCarree ()) m. Plotting data on map projections will be covered in later tutorials. 0,urcrnrlon=40. pyplot as plt import matplotlib. ) I'm trying to plot a triangular grid with cartopy and matplotlib. All those files (shapefiles and tiff images) The following code works with other projections, but not orthographic. crs as ccrs plt. Here's the Cartopy scale bar function I wrote for my own use which uses simpler version of pp-mo's answer: Edit: modified code to create a new projection centred so that the scale bar is parallel to the axies for many coordinate systems, including some orthographic and larger maps, and removing the need to specify a utm system. crs as ccrs # for map projections import matplotlib. PlateCarree() f, ax = By default, Matplotlib automatically sets the limits of your Axes based on the data that you plot. linspace (-80, 80, 25) lat = np. the impossibility to add tick labels to lambert conformal maps), and to make nice looking regional maps: Read a netcdf file and make a contour plot of the data; Read a grib file and make a contour plot of the data; Read a file from an remote OPeNDAP server and make a contour plot of the data; Read Fortran Binary Data Files; Climate Data Analysis Xarray. I use a matplotlib. I am using xarray for the first time. However, I did not manage to do so, even though a similar question has been asked here and here. crs as ccrs import geopandas as gpd def sanitize_lonlist(lons): new_list = [] oldval = 0 # used to compare with the adjacent longitudes # and values exceed, disconnect linestring treshold = 10 for ix,ea Working with Maps¶. Plotting with CartoPy and GeoPandas# Converting between GeoPandas and CartoPy for visualizing data. I determine the fraction of height by using gridspec_kw. crs as ccrs import numpy as np import xarray as xr import cartopy. [2]: import easygems. BORDERS, linestyle='-', alpha=1) Plotting Antarctica with Cartopy and GDAL libraries I will explain the way I plot the Antarctic continent including extra-features from tiff files like the mountains relief and/or the ocean bathymetry. Before plotting geographical data, you should know in which coordinate system the data is represented. geo_json. For now, I use the coastlines() method that creates the contour of the continents, but i don't know how to fill them The following creates a plot with a white background thereby ignoring set_facecolor. variables["longitude"] lat Plotting with CartoPy and GeoPandas¶. Okay here we go. This can be useful for plotting with `cartopy` or regridding with `xesmf`. While this nicely works for the given problem, sometimes an actual mask is required to remove unwanted parts of the data. Full code (including data) in Jupyter html: cartopy_plotting. 0 - 180, north_pole_grid_longitude = 0. pyplot as plt def main(): fig = plt. None of these examples make use of xarray’s builtin plotting functions, since additional work is most likely needed to extend xarray in order to work correctly. PlateCarree ()) # x0, x1, y0, y1 # Iterate and plot feature for each depth level for i, depth_str in enumerate (depths I'm new to Python with a question about Cartopy being able to be used in a 3D plot. (The main reason was segfaulting of Basemap on some computers, which I could not fix). resample_nearest and pyresample. imread('flag. It is possible to specify the order of plots explicitly. When you request projection names with cartopy as the backend (or pass a cartopy. Here we focus mostly on arrays 2d or larger. crs object. feature as cfeature import io MIN_LAT = 19 MAX_LAT = 53 MIN_LON = -20 MAX_LON = 41 I am trying to plot some data over a map using cartopy in python. save_quicklook expect a 2D array as data, rather than the 3D (3-band) Sentinel scene I'm trying to plot: OK, I downloaded the data. You will need to create an axes for plotting each inset map and place it on the figure at proper location and relative scale. pyplot as plt data = pd. transAxes, marker='o', ms=10) # convert I am trying to plot a map in a Lambert Conformal Projection, using Cartopy version 0. I can either get the coastlines to show up I am trying to create a map overview using cartopy, but for some reason cannot figure out how to plot the names of the countries shown on the map. czdlyhnvibyouhbsgakkizggrlbtmxrccpvuohgezkqprionutvte