geoviews | Simple , concise geographical visualization in Python | Data Visualization library
kandi X-RAY | geoviews Summary
kandi X-RAY | geoviews Summary
GeoViews is a Python library that makes it easy to explore and visualize any data that includes geographic locations. It has particularly powerful support for multidimensional meteorological and oceanographic datasets, such as those used in weather, climate, and remote sensing research, but is useful for almost anything that you would want to plot on a map! You can see lots of example notebooks at geoviews.org, and a good overview is in our blog post announcement. GeoViews is built on the HoloViews library for building flexible visualizations of multidimensional data. GeoViews adds a family of geographic plot types based on the Cartopy library, plotted using either the Matplotlib or Bokeh packages. Each of the new GeoElement plot types is a new HoloViews Element that has an associated geographic projection based on cartopy.crs. The GeoElements currently include Feature, WMTS, Tiles, Points, Contours, Image, QuadMesh, TriMesh, RGB, HSV, Labels, Graph, HexTiles, VectorField and Text objects, each of which can easily be overlaid in the same plots. E.g. an object with temperature data can be overlaid with coastline data using an expression like gv.Image(temperature) * gv.Feature(cartopy.feature.COASTLINE). Each GeoElement can also be freely combined in layouts with any other HoloViews Element , making it simple to make even complex multi-figure layouts of overlaid objects.
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Top functions reviewed by kandi - BETA
- Process an element
- Return an instance of the resample
- Clone this element
- Convert a geometry object to a dictionary
- Create a GeoDataFrame from multiple data
- Check if a dimension is a scalar
- Convert data into a GeoDataFrame
- Get the values for a given dimension
- Return the length of a geometry
- Geometry collection
- Process GeoBox edit message
- Return the extents of the element
- Return the selected axis
- Return the setup version for a given repo
- Assign new values to a dataset
- Select rows based on selection
- List of holes in a shapely geometry
- Return a dict containing the coordinates of the geotranslection
- Return the values of a given dimension
- Return a subset of the dataset
- Load an array from an array
- Initialize the axes
- Convert tile source to RGB
- Process an image
- Construct from a shapefile
- Load a tiff file
geoviews Key Features
geoviews Examples and Code Snippets
Community Discussions
Trending Discussions on geoviews
QUESTION
data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data
I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.
...ANSWER
Answered 2021-Oct-11 at 14:21geopandas 0.10.1
- have noted that your data is on kaggle, so start by sourcing it
- there really is only one issue
shapely.geometry.MultiPoint()
constructor does not work with a filtered series. Pass it a numpy array instead and it works. - full code below, have randomly selected a point to serve as
gpdPoint
QUESTION
I would like to plot something that resembles a kdeplot using geoviews without actually plotting the contour lines. The geoplot library supports something like this:
How can I make such a plot in geoviews?
Here is a very basic example of the kind of kdeplot I am managing to generate via geoviews, which by default plots the black lines that separates different intensities:
...ANSWER
Answered 2021-Sep-12 at 16:55The argument you have to use is line_color
and in your case you want to set it to None
.
Applying the change to this line of code
QUESTION
Using the matplotlib
backend, is it possible to add a tile basemap such as OSM to a GeoViews
plot, e.g. by somehow calling contextily
? Using the Bokeh
backend, this is done via gv.tile_sources
and then adding it to an overlay but is there a similar function for the mpl
backend?
Adding a reproducible example assuming one is switching between backends, and using neighbourhood-level polygon gdfs in EPSG:4326.
What made me initially think adding a basemap was not possible was (1) not defining the WMTS zoom level (causing undecipherable pixelated text to be plotted instead of features), and, after reading James' answer, (2) adding the tiles layer to the layout last, not first, which caused tiles to cover the polygons layers (not an issue on the bokeh backend, but with matplotlib apparently it does matter).
...ANSWER
Answered 2021-Aug-01 at 16:58QUESTION
datashader 0.13.0, holoviews 1.14.4, geoviews 1.9.1., bokeh 2.3.2.
What I'm trying to doI'm trying to recreate a choropleth map with one color mapped to one category in a large GeoDataFrame using Datashader, following this example in the Pipeline page and this as well as this SO, which all differ slightly in their syntax, and all use points as the example, rather than polygons.
Reproducible code sampleBelow a small sample of the full dataset.
...ANSWER
Answered 2021-Jul-13 at 20:25Try agg=ds.by('category', ds.any())
, which will ignore polygons that overlap in any pixel. ds.count_cat('category')
is now an alias for ds.by('category', ds.count())
, but as of Datashader 0.12.1 you are no longer limited to just count
, and can e.g. use any
to discard information about overlaps.
QUESTION
I would like to use bokeh's TapTool
to open a different URL when clicking on each of some holoviews.Polygons
. An perfect example of how this works in bokeh is in the bokeh docs for point data. However, when I try to use it in holoviews, it doesn't seem to work.
The closest thing I could get to work is this:
ANSWER
Answered 2021-May-06 at 18:09Not sure; seems to work when I do it for this nonsensical example:
QUESTION
I have trouble making a interactive map with PySAL. I want to visualize the dutch 'gemeente' (Municipalities). You can download shape files from the dutch bureau of statistics: https://www.cbs.nl/nl-nl/dossier/nederland-regionaal/geografische-data/wijk-en-buurtkaart-2019
...ANSWER
Answered 2021-Apr-19 at 15:11The issue is related to the Coordinate Reference System of the shapefile.
Looking at coords.crs
shows EPSG:28992
.
You can get hvplot to work with this:
QUESTION
I have a Point with a longitude = -0.050122
and latitude = 52.699185
.
When I plot this in Geoviews, this Point is incorrectly displayed:
...ANSWER
Answered 2020-Oct-08 at 20:55Just to clarify, the point itself looks correctly displayed (plotted in the correct location), but the hover information is displayed in Web Mercator coordinates rather than the more human-readable native lat/lon values. I believe this is a bug; see https://github.com/holoviz/geoviews/issues/470 .
(Not sure what the "th" in the hover is, though; I don't see that in my copy.)
QUESTION
I created a single row GeoDataFrame with a Points geometry
column as follows:
df
...ANSWER
Answered 2020-Oct-05 at 08:51You have different projections most likely. You admin boundaries are in EPSG:27700.
To make sure that you are re-projecting to the CRS of other dataframe, always pass that CRS directly.
QUESTION
I’m experiencing projection errors following a groupby on geodataframe. Below you will find the libraries that I am using:
...ANSWER
Answered 2020-Jul-10 at 15:57For some reason geoviews doesn't like the OSGB projection then followed by a groupby, as it tries to default back to platecaree projection.
The way I fixed it was to just make the entire dataset project in epsg:4326. For anyone who also runs into this problem, code below (it is a well documented solution:
QUESTION
I have created geo-dataframe using a combination of geopandas and geoviews. Libraries I'm using are below:
...ANSWER
Answered 2020-May-01 at 04:07You can make the file smaller by rasterizng or by decimating the shapes. For rasterizng you can call hv.operation.datashader.rasterize(obj), and I think there is something in Shapely or GeoPandas for simplifying the shapes.
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