Mailman 3 - GeoPython

ANN: GeoPandas 0.9.0 released
by Joris Van den Bossche 01 Mar '21

01 Mar '21

We are pleased to announce a new release of GeoPandas! Highlights: a revamped documentation site (http://geopandas. readthedocs.io/en/stable/), read_file automatically recognizes zip files (without prepending zip:// to the path), access to pandas' plotting methods directly from the GeoDataFrame, and lots of other new features, enhancements, and bug fixes. See below for more detailed notes. Thanks to all contributors for making this possible! --- GeoPandas can be installed with conda from the conda-forge channel (conda install -c conda-forge geopandas) or with pip assuming the dependencies are available for your platform or are already installed (pip install geopandas ). Please report any issues, or request new features via our GitHub repository: https://github.com/geopandas/geopandas/issues Documentation can be found here: http://geopandas.readthedocs.io/en/stable/ *What's new?* GeoPandas 0.9.0 features a long list of new features, enhancements and bug fixes, see the full list below. In addition, there are many *documentation improvements* and a restyled and restructured website with a new logo (#1564 <https://github.com/geopandas/geopandas/pull/1564>, #1579 <https://github.com/geopandas/geopandas/pull/1579>, #1617 <https://github.com/geopandas/geopandas/pull/1617>, #1668 <https://github.com/geopandas/geopandas/pull/1668>, #1731 <https://github.com/geopandas/geopandas/pull/1731>, #1750 <https://github.com/geopandas/geopandas/pull/1750>, #1757 <https://github.com/geopandas/geopandas/pull/1757>, #1759 <https://github.com/geopandas/geopandas/pull/1759>). *New features and improvements:* - The geopandas.read_file function now accepts more general file-like objects (e.g. fsspec open file objects). It will now also automatically recognize zipped files (#1535 <https://github.com/geopandas/geopandas/pull/1535>). - The GeoDataFrame.plot() method now provides access to the pandas plotting functionality for the non-geometry columns, either using the kind keyword or the accessor method (e.g. gdf.plot(kind="bar") or gdf.plot.bar()) (#1465 <https://github.com/geopandas/geopandas/pull/1465> ). - New from_wkt(), from_wkb(), to_wkt(), to_wkb() methods for GeoSeries to construct a GeoSeries from geometries in WKT or WKB representation, or to convert a GeoSeries to a pandas Seriew with WKT or WKB values (#1710 <https://github.com/geopandas/geopandas/pull/1710>). - New GeoSeries.z attribute to access the z-coordinates of Point geometries (similar to the existing .x and .y attributes) (#1773 <https://github.com/geopandas/geopandas/pull/1773>). - The to_crs() method now handles missing values (#1618 <https://github.com/geopandas/geopandas/pull/1618>). - Support for pandas' new .attrs functionality (#1658 <https://github.com/geopandas/geopandas/pull/1658>). - The dissolve() method now allows dissolving by no column (by=None) to create a union of all geometries (single-row GeoDataFrame) (#1568 <https://github.com/geopandas/geopandas/pull/1568>). - New estimate_utm_crs() method on GeoSeries/GeoDataFrame to determine the UTM CRS based on the bounds (#1646 <https://github.com/geopandas/geopandas/pull/1646>). - GeoDataFrame.from_dict() now accepts geometry and crs keywords (#1619 <https://github.com/geopandas/geopandas/pull/1619>). - GeoDataFrame.to_postgis() and geopandas.read_postgis() now supports both sqlalchemy engine and connection objects (#1638 <https://github.com/geopandas/geopandas/pull/1638>). - The GeoDataFrame.explode() method now allows exploding based on a non-geometry column, using the pandas implementation (#1720 <https://github.com/geopandas/geopandas/pull/1720>). - Performance improvement in GeoDataFrame/GeoSeries.explode() when using the PyGEOS backend (#1693 <https://github.com/geopandas/geopandas/pull/1693>). - The binary operation and predicate methods (eg intersection(), intersects()) have a new align keyword which allows optionally not aligning on the index before performing the operation with align=False ( #1668 <https://github.com/geopandas/geopandas/pull/1668>). - The GeoDataFrame.dissolve() method now supports all relevant keywords of groupby(), i.e. the level, sort, observed and dropna keywords (#1845 <https://github.com/geopandas/geopandas/pull/1845>). - The geopandas.overlay() function now accepts make_valid=False to skip the step to ensure the input geometries are valid using buffer(0) (#1802 <https://github.com/geopandas/geopandas/pull/1802>). - The GeoDataFrame.to_json() method gained a drop_id keyword to optionally not write the GeoDataFrame's index as the "id" field in the resulting JSON (#1637 <https://github.com/geopandas/geopandas/pull/1637> ). - A new aspect keyword in the plotting methods to optionally allow retaining the original aspect (#1512 <https://github.com/geopandas/geopandas/pull/1512>) - A new interval keyword in the legend_kwds group of the plot() method to control the appearance of the legend labels when using a classification scheme (#1605 <https://github.com/geopandas/geopandas/pull/1605>). - The spatial index of a GeoSeries (accessed with the sindex attribute) is now stored on the underlying array. This ensures that the spatial index is preserved in more operations where possible, and that multiple geometry columns of a GeoDataFrame can each have a spatial index (#1444 <https://github.com/geopandas/geopandas/pull/1444>). - Addition of a has_sindex attribute on the GeoSeries/GeoDataFrame to check if a spatial index has already been initialized (#1627 <https://github.com/geopandas/geopandas/pull/1627>). - The geopandas.testing.assert_geoseries_equal() and assert_geodataframe_equal() testing utilities now have a normalize keyword (False by default) to normalize geometries before comparing for equality (#1826 <https://github.com/geopandas/geopandas/pull/1826>). Those functions now also give a more informative error message when failing (#1808 <https://github.com/geopandas/geopandas/pull/1808>). *Deprecations and compatibility notes:* - The is_ring attribute currently returns True for Polygons. In the future, this will be False (#1631 <https://github.com/geopandas/geopandas/pull/1631>). In addition, start to check it for LineStrings and LinearRings (instead of always returning False). - The deprecated objects keyword in the intersection() method of the GeoDataFrame/GeoSeries.sindex spatial index object has been removed ( #1444 <https://github.com/geopandas/geopandas/pull/1444>). *Bug fixes:* - Fix regression in the plot() method raising an error with empty geometries (#1702 <https://github.com/geopandas/geopandas/pull/1702>, #1828 <https://github.com/geopandas/geopandas/pull/1828>). - Fix geopandas.overlay() to preserve geometries of the correct type which are nested within a GeometryCollection as a result of the overlay operation (#1582 <https://github.com/geopandas/geopandas/pull/1582>). In addition, a warning will now be raised if geometries of different type are dropped from the result (#1554 <https://github.com/geopandas/geopandas/pull/1554>). - Fix the repr of an empty GeoSeries to not show spurious warnings (#1673 <https://github.com/geopandas/geopandas/pull/1673>). - Fix the .crs for empty GeoDataFrames (#1560 <https://github.com/geopandas/geopandas/pull/1560>). - Fix geopandas.clip to preserve the correct geometry column name (#1566 <https://github.com/geopandas/geopandas/pull/1566>). - Fix bug in plot() method when using legend_kwds with multiple subplots (#1583 <https://github.com/geopandas/geopandas/pull/1583>) - Fix spurious warning with missing_kwds keyword of the plot() method when there are no areas with missing data (#1600 <https://github.com/geopandas/geopandas/pull/1600>). - Fix the plot() method to correctly align values passed to the column keyword as a pandas Series (#1670 <https://github.com/geopandas/geopandas/pull/1670>). - Fix bug in plotting MultiPoints when passing values to determine the color (#1694 <https://github.com/geopandas/geopandas/pull/1694>) - The rename_geometry() method now raises a more informative error message when a duplicate column name is used (#1602 <https://github.com/geopandas/geopandas/pull/1602>). - Fix explode() method to preserve the CRS (#1655 <https://github.com/geopandas/geopandas/pull/1655>) - Fix the GeoSeries.apply() method to again accept the convert_dtype keyword to be consistent with pandas (#1636 <https://github.com/geopandas/geopandas/pull/1636>). - Fix GeoDataFrame.apply() to preserve the CRS when possible (#1848 <https://github.com/geopandas/geopandas/pull/1848>). - Fix bug in containment test as geom in geoseries (#1753 <https://github.com/geopandas/geopandas/pull/1753>). - The shift() method of a GeoSeries/GeoDataFrame now preserves the CRS ( #1744 <https://github.com/geopandas/geopandas/pull/1744>). - The PostGIS IO functionality now quotes table names to ensure it works with case-sensitive names (#1825 <https://github.com/geopandas/geopandas/pull/1825>). - Fix the GeoSeries constructor without passing data but only an index ( #1798 <https://github.com/geopandas/geopandas/pull/1798>). *Notes on (optional) dependencies:* - GeoPandas 0.9.0 dropped support for Python 3.5. Further, the minimum required versions are pandas 0.24, numpy 1.15 and shapely 1.6 and fiona 1.8. - The descartes package is no longer required for plotting polygons. This functionality is now included by default in GeoPandas itself, when matplotlib is available (#1677 <https://github.com/geopandas/geopandas/pull/1677>). - Fiona is now only imported when used in read_file/to_file. This means you can now force geopandas to install without fiona installed (although it is still a default requirement) (#1775 <https://github.com/geopandas/geopandas/pull/1775>). - Compatibility with the upcoming Shapely 1.8 (#1659 <https://github.com/geopandas/geopandas/pull/1659>, #1662 <https://github.com/geopandas/geopandas/pull/1662>, #1819 <https://github.com/geopandas/geopandas/pull/1819>). *Acknowledgments* Thanks to everyone who contributed to this release! A total of 29 people contributed patches to this release. People with a "+" by their names contributed a patch for the first time. - Adam J. Stewart + - Adrian Garcia Badaracco - Alan D. Snow - Brendan Ward - Charlie + - Dave Rench McCauley + - Flavin + - Giacomo Caria + - Ian Rose - Imanol + - Isaac Boates + - Jacob Hayes + - Jake Clarke + - James McBride - Joris Van den Bossche - Martijn Visser + - Martin Fleischmann - Nick Hand + - Rowan Molony - Sergio Rey - Sönke Schmachtel + - Tim Gates + - WANG Aiyong + - Will Schlitzer + - abonte - bretttully + - donlo - sangarshanan - vangorade + *-- The GeoPandas developers*

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ANN: GeoPandas 0.6.0 released
by Joris Van den Bossche 28 Jun '20

28 Jun '20

We are pleased to announce a new release of GeoPandas! GeoPandas 0.6.0 features a refactor of the internals based on the new pandas ExtensionArray interface, for better integration with pandas. Although this change should keep the user interface mostly stable, there are a few changes summarized below. Further, this release includes a nice set of other improvements and bug fixes. See the full list below. Important note! This will be the last release to support Python 2.7 (#1031 <https://github.com/geopandas/geopandas/issues/1031>) GeoPandas can be installed with conda from the conda-forge channel (conda install -c conda-forge geopandas) or with pip assuming the dependencies are available for your platform or are already installed (pip install geopandas ). Please report any issues, or request new features via our GitHub repository: https://github.com/geopandas/geopandas/issues *What is it?* GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple shapely geometries. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. Documentation can be found here: http://geopandas.readthedocs.io/en/stable/ *What's new?* API changes: - A refactor of the internals based on the pandas ExtensionArray interface (#1000 <https://github.com/geopandas/geopandas/issues/1000>). The main user visible changes are: - The .dtype of a GeoSeries is now a 'geometry' dtype (and no longer a numpy object dtype). - The .values of a GeoSeries now returns a custom GeometryArray, and no longer a numpy array. To get back a numpy array of Shapely scalars, you can convert explicitly using np.asarray(..). - The GeoSeries constructor now raises a warning when passed non-geometry data. Currently the constructor falls back to return a pandas Series, but in the future this will raise an error (#1085 <https://github.com/geopandas/geopandas/pull/1085>). - The missing value handling has been changed to now separate the concepts of missing geometries and empty geometries (#601 <https://github.com/geopandas/geopandas/issues/601>, 1062). In practice this means that (see the docs <https://geopandas.readthedocs.io/en/v0.6.0/missing_empty.html> for more details): - GeoSeries.isna now considers only missing values, and if you want to check for empty geometries, you can use GeoSeries.is_empty ( GeoDataFrame.isna already only looked at missing values). - GeoSeries.dropna now actually drops missing values (before it didn't drop either missing or empty geometries) - GeoSeries.fillna only fills missing values (behaviour unchanged). - GeoSeries.align uses missing values instead of empty geometries by default to fill non-matching index entries. New features and improvements: - Addition of a GeoSeries.affine_transform method, equivalent of Shapely's function (#1008 <https://github.com/geopandas/geopandas/pull/1008>). - Addition of a GeoDataFrame.rename_geometry method to easily rename the active geometry column (#1053 <https://github.com/geopandas/geopandas/issues/1053>). - Addition of geopandas.show_versions() function, which can be used to give an overview of the installed libraries in bug reports (#899 <https://github.com/geopandas/geopandas/issues/899>). - The legend_kwds keyword of the plot() method can now also be used to specify keywords for the color bar (#1102 <https://github.com/geopandas/geopandas/pull/1102>). - Performance improvement in the sjoin() operation by re-using existing spatial index of the input dataframes, if available (#789 <https://github.com/geopandas/geopandas/pull/789>). - Updated documentation to work with latest version of geoplot and contextily (#1044 <https://github.com/geopandas/geopandas/pull/1044>, #1088 <https://github.com/geopandas/geopandas/pull/1088>). - A new geopandas.options configuration, with currently a single option to control the display precision of the coordinates ( options.display_precision). The default is now to show less coordinates (3 for projected and 5 for geographic coordinates), but the default can be overridden with the option. Bug fixes: - Also try to use pysal instead of mapclassify if available (#1082 <https://github.com/geopandas/geopandas/pull/1082>). - The GeoDataFrame.astype() method now correctly returns a GeoDataFrame if the geometry column is preserved (#1009 <https://github.com/geopandas/geopandas/pull/1009>). - The to_crs method now uses always_xy=True to ensure correct lon/lat order handling for pyproj>=2.2.0 (#1122 <https://github.com/geopandas/geopandas/pull/1122>). - Fixed passing list-like colors in the plot() method in case of "multi" geometries (#1119 <https://github.com/geopandas/geopandas/pull/1119>). - Fixed the coloring of shapes and colorbar when passing a custom norm in the plot() method (#1091 <https://github.com/geopandas/geopandas/pull/1091>, #1089 <https://github.com/geopandas/geopandas/pull/1089>). - Fixed GeoDataFrame.to_file to preserve VFS file paths (e.g. when a "s3://" path is specified) (#1124 <https://github.com/geopandas/geopandas/pull/1124>). - Fixed failing case in geopandas.sjoin with empty geometries (#1138 <https://github.com/geopandas/geopandas/pull/1138>). In addition, the minimum required versions of some dependencies have been increased: GeoPandas now requires pandas >=0.23.4 and matplotlib >=2.0.1 ( #1002 <https://github.com/geopandas/geopandas/pull/1002>). *Acknowledgments* Thanks to everyone who contributed to this release! A total of 20 people contributed patches to this release. People with a "+" by their names contributed a patch for the first time. - Alan D. Snow + - Aleksey Bilogur - Archana Alva + - François Leblanc - Geir Arne Hjelle - Ian Rose + - James Gaboardi + - James McBride - Joris Van den Bossche - Joshua Wilson - Kushal Borkar + - Leah Wasser - Martin Fleischmann - Mike Taves + - René Buffat + - Sergio Rey + - Thomas Pinder + - awa5114 + - donlo + - jbrockmendel + *-- The GeoPandas developers*

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pycsw 2.4.0 released
by Angelos Tzotsos 17 May '19

17 May '19

The pycsw team announces the release of pycsw 2.4.0. The 2.4.0 release adds WMS 1.3.0 and WPS process harvesting as well as plugin support enhancements. Note that though pycsw works with Python 2 and 3, we have turned off Python 2 testing given the Python 2 end of life (https://pythonclock.org) scheduled for 01 January 2020. Users are strongly encouraged to update their deployments to Python 3 as soon as possible. Source and binary downloads: ---------------------------- The source code is available at: https://pycsw.org/download PyPI packages are available at: https://pypi.org/project/pycsw Version 2.4.0 (2019-05-17): --------------------------- [Bulleted list of enhancements / bug fixes] - fix CAT 3.0 schema locations - fix to handle plugin loading across various operating systems - bump of requirements - new project logos - safeguard WKT exceptions against newer versions of Shapely - updated Chinese translations - enhancements and fixes to large metadata harvesting workflows - safeguard async naming for Python 3.7 - OpenSearch description document updates - startposition fixes to for GetRecords workflows Testers and developers are welcome. We would like to thank OSGeo (https://osgeo.org) and the 2019 Minneapolis Code Sprint (https://wiki.osgeo.org/wiki/OSGeo_Community_Sprint_2019) organizers and sponsors for their support. The pycsw developer team. https://pycsw.org/ https://pycsw.org/development/announce/2.4.0.html -- Angelos Tzotsos, PhD Charter Member Open Source Geospatial Foundation http://users.ntua.gr/tzotsos

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ANN: GeoPandas 0.5.0 released
by Joris Van den Bossche 25 Apr '19

25 Apr '19

We are pleased to announce a new release of GeoPandas! GeoPandas 0.5.0 includes some improvements for writing files with fiona (better performance, better support for data types and mixed geometry types), along with many other new features and bug fixes, see the full list below. GeoPandas can be installed with conda from the conda-forge channel (conda install -c conda-forge geopandas) or with pip assuming the dependencies are available for your platform or are already installed (pip install geopandas ). Please report any issues, or request new features via our GitHub repository: https://github.com/geopandas/geopandas/issues *What is it?* GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple shapely geometries. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. Documentation can be found here: http://geopandas.readthedocs.io/en/stable/ *What's new?* Improvements: - Significant performance improvement (around 10x) for GeoDataFrame.iterfeatures, which also improves GeoDataFrame.to_file (#864 <https://github.com/geopandas/geopandas/pull/864>). - File IO enhancements based on Fiona 1.8: - Support for writing bool dtype (#855 <https://github.com/geopandas/geopandas/pull/855>) and datetime dtype, if the file format supports it (#728 <https://github.com/geopandas/geopandas/pull/728>). - Support for writing dataframes with multiple geometry types, if the file format allows it (e.g. GeoJSON for all types, or ESRI Shapefile for Polygon+MultiPolygon) (#827 <https://github.com/geopandas/geopandas/pull/827>, #867 <https://github.com/geopandas/geopandas/issues/867>, #870 <https://github.com/geopandas/geopandas/pull/870>). - Compatibility with pyproj >= 2 (#962 <https://github.com/geopandas/geopandas/pull/962>). - A new geopandas.points_from_xy() helper function to convert x and y coordinates to Point objects (#896 <https://github.com/geopandas/geopandas/pull/896>). - The buffer and interpolate methods now accept an array-like to specify a variable distance for each geometry (#781 <https://github.com/geopandas/geopandas/pull/781>). - Addition of a relate method, corresponding to the shapely method that returns the DE-9IM matrix (#853 <https://github.com/geopandas/geopandas/pull/853>). - Plotting improvements: - Performance improvement in plotting by only flattening the geometries if there are actually 'Multi' geometries (#785 <https://github.com/geopandas/geopandas/pull/785>). - Choropleths: access to all mapclassify classification schemes and addition of the classification_kwds keyword in the plot method to specify options for the scheme (#876 <https://github.com/geopandas/geopandas/pull/876>). - Ability to specify a matplotlib axes object on which to plot the color bar with the cax keyword, in order to have more control over the color bar placement (#894 <https://github.com/geopandas/geopandas/pull/894>). - Changed the default provider in geopandas.tools.geocode from Google (now requires an API key) to Geocode.Farm (#907 <https://github.com/geopandas/geopandas/pull/907>, #975 <https://github.com/geopandas/geopandas/pull/975>). Bug fixes: - Remove the edge in the legend marker (#807 <https://github.com/geopandas/geopandas/pull/807>). - Fix the align method to preserve the CRS (#829 <https://github.com/geopandas/geopandas/pull/829>). - Fix geopandas.testing.assert_geodataframe_equal to correctly compare left and right dataframes (#810 <https://github.com/geopandas/geopandas/pull/810>). - Fix in choropleth mapping when the values contain missing values (#877 <https://github.com/geopandas/geopandas/issues/877>). - Better error message in sjoin if the input is not a GeoDataFrame (#842 <https://github.com/geopandas/geopandas/pull/842>). - Fix in read_postgis to handle nullable (missing) geometries (#856 <https://github.com/geopandas/geopandas/pull/856>). - Correctly passing through the parse_dates keyword in read_postgis to the underlying pandas method (#860 <https://github.com/geopandas/geopandas/pull/860>). - Fixed the shape of Antarctica in the included demo dataset 'naturalearth_lowres' (by updating to the latest version) (#804 <https://github.com/geopandas/geopandas/issues/804>). *Acknowledgments* Thanks to everyone who contributed to this release! A total of 33 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Andy Garfield + - Benjamin Goldenberg + - Brett Naul + - Brian Lewis + - Dmitry Nikolaev + - Dr Martin Black + - Filipe - Geir Arne Hjelle - Géraud + - Henry Walshaw + - James McBride - Jesse Pisel + - Joris Van den Bossche - Joshua Wilson - Justin Shenk + - Kris Vanhoof + - Leah Wasser + - Levi John Wolf - Martin Fleischmann + - Matthieu Viry + - Philipp Kats + - Pratap Vardhan + - Pulkit Maloo + - Raphael Delhome + - Sean Gillies - Simon Andersson + - TimoRoth + - Yohann Rebattu + - YuichiNotoya + - byrman + - lmmarsano + - Émile Nadeau + - Ömer Özak *-- The GeoPandas developers*

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ANN: GeoPandas 0.4.1 released
by Joris Van den Bossche 06 Mar '19

06 Mar '19

GeoPandas 0.4.1 is a small bug-fix release for compatibility with the latest Fiona and PySAL releases: (awaiting the upcoming feature release 0.5.0). - Compatibility with Fiona 1.8: fix deprecation warning (#854 <https://github.com/geopandas/geopandas/pull/854> and #916 <https://github.com/geopandas/geopandas/pull/916>). - Compatibility with PySAL 2.0: switched to mapclassify instead of PySAL as dependency for choropleth mapping with the scheme keyword (#872 <https://github.com/geopandas/geopandas/pull/872>). - Fix for new overlay implementation in case the intersection is empty ( #800 <https://github.com/geopandas/geopandas/pull/800>). *Acknowledgments* A total of 7 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Filipe - Joris Van den Bossche - Kris Vanhoof + - Martin Fleischmann + - Simon Andersson + - TimoRoth + - Ömer Özak *How to get it?* GeoPandas can be installed with conda from the conda-forge channel (conda install -c conda-forge geopandas) or with pip assuming the dependencies are available for your platform (pip install geopandas). Please report any issues, or request new features via our GitHub repository: https://github.com/geopandas/geopandas/issues Documentation can be found here: http://geopandas.org/ <http://geopandas.readthedocs.io/en/stable/>

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ANN: GeoPandas 0.4.0 released
by Joris Van den Bossche 16 Jul '18

16 Jul '18

We are pleased to announce a new release of GeoPandas! Most notably, GeoPandas 0.4.0 improves the overlay functionality (much better performance, and fixed behaviour for certain cases). This can possibly change results you obtained before, but likely more correct now. But given this change, please test and feedback welcome! Further, there is a long list of other new features and bug fixes, see below. GeoPandas can be installed with conda from the conda-forge channel (conda install -c conda-forge geopandas) or with pip assuming the dependencies are available for your platform (pip install geopandas). Please report any issues, or request new features via our GitHub repository: https://github.com/geopandas/geopandas/issues *What is it?* GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple shapely geometries. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. Documentation can be found here: http://geopandas.org/ <http://geopandas.readthedocs.io/en/stable/> *What's new?* Improvements: - Improved overlay function (better performance, several incorrect behaviours fixed) (#429 <https://github.com/geopandas/geopandas/pull/429> ) - Pass keywords to control legend behavior (legend_kwds) to plot (#434 <https://github.com/geopandas/geopandas/pull/434>) - Add basic support for reading remote datasets in read_file (#531 <https://github.com/geopandas/geopandas/pull/531>) - Pass kwargs for buffer operation on GeoSeries (#535 <https://github.com/geopandas/geopandas/pull/535>) - Expose all geopy services as options in geocoding (#550 <https://github.com/geopandas/geopandas/pull/550>) - Faster write speeds to GeoPackage (#605 <https://github.com/geopandas/geopandas/pull/605>) - Permit read_file filtering with a bounding box from a GeoDataFrame ( #613 <https://github.com/geopandas/geopandas/pull/613>) - Set CRS on GeoDataFrame returned by read_postgis (#627 <https://github.com/geopandas/geopandas/pull/627>) - Permit setting markersize for Point GeoSeries plots with column values (#633 <https://github.com/geopandas/geopandas/pull/633>) - Started an example gallery (#463 <https://github.com/geopandas/geopandas/pull/463>, #690 <https://github.com/geopandas/geopandas/pull/690>, #717 <https://github.com/geopandas/geopandas/pull/717>) - Support for plotting MultiPoints (#683 <https://github.com/geopandas/geopandas/pull/683>) - Testing functionalty (e.g. assert_geodataframe_equal) is now publicly exposed (#707 <https://github.com/geopandas/geopandas/pull/707>) - Add explode method to GeoDataFrame (similar to the GeoSeries method) ( #671 <https://github.com/geopandas/geopandas/pull/671>) - Set equal aspect on active axis on multi-axis figures (#718 <https://github.com/geopandas/geopandas/pull/718>) - Pass array of values to column argument in plot (#770 <https://github.com/geopandas/geopandas/pull/770>) Bug fixes : - Ensure that colorbars are plotted on the correct axis (#523 <https://github.com/geopandas/geopandas/pull/523>) - Handle plotting empty GeoDataFrame (#571 <https://github.com/geopandas/geopandas/pull/571>) - Save z-dimension when writing files (#652 <https://github.com/geopandas/geopandas/pull/652>) - Handle reading empty shapefiles (#653 <https://github.com/geopandas/geopandas/pull/653>) - Correct dtype for empty result of spatial operations (#685 <https://github.com/geopandas/geopandas/issues/685>) - Fix empty sjoin handling for pandas>=0.23 (#762 <https://github.com/geopandas/geopandas/pull/762>) *Acknowledgments* Thanks to everyone who contributed to this release! A total of 26 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Aleksey Bilogur * Andrew Feierman + * Benjamin Root + * Chris Holdgraf * Christopher Ren + * Dani Arribas-Bel * Dmitri Lebedev + * Edward Betts + * Elliott Sales de Andrade + * Fabien Maussion + * Filipe + * François Leblanc + * Geir Arne Hjelle + * James McBride * Joris Van den Bossche * Joshua Wilson + * Levi John Wolf + * Ramiro Gómez + * Robert Gieseke + * Rutger Hofste + * Tim Tröndle * balmandhunter + * mrahim + * pinto531 + * robochat + * Ömer Özak + -- The GeoPandas developers >

1 0

Conference Schedule is available
by Martin Christen 21 Mar '17

21 Mar '17

Dear GeoPython subscribers The conference schedule for GeoPython 2017 is now online at https://2017.geopython.net On Monday May 8th 2017 we have 8 workshops, including a Python beginners tutorial. On Tuesday and Wednesday we have a total of 7 sessions (28 talks). This year we had over 50 talk submissions. I'm looking forward to meeting you at the conference Kind regards, Martin Christen

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Re: GeoPython Digest, Vol 2, Issue 4
by b.j.kobben＠utwente.nl 26 Jan '17

26 Jan '17

Excuse me....? -- On 26/01/17 18:00, "geopython-request(a)python.org" <geopython-request(a)python.org> wrote: ---------------------------------------------------------------------- Date: Thu, 26 Jan 2017 03:30:05 +0000 From: Christen Martin <martin.christen(a)fhnw.ch> Subject: [GeoPython] GeoPython 2017 - Call for Contributions extended To: "geopython(a)python.org" <geopython(a)python.org> Message-ID: <77C52B2E-B241-41C0-A933-674C720883AE(a)fhnw.ch> Content-Type: multipart/alternative; boundary="_000_77C52B2EB24141C0A933674C720883AEfhnwch_" --_000_77C52B2EB24141C0A933674C720883AEfhnwch_ Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: base64 RGVhciBHZW8gJiBQeXRob24gY29tbXVuaXR5DQoNCknigJltIHBsZWFzZWQgdG8gYW5ub3VuY2Ug c29tZSB1cGRhdGVzIGZvciB0aGUgdXBjb21pbmcgR2VvUHl0aG9uIDIwMTcgY29uZmVyZW5jZSwg d2hpY2ggdGFrZXMgcGxhY2UgaW4gQmFzZWwsIFN3aXR6ZXJsYW5kIE1heSA4IHRvIDEwLCAyMDE3 Lg0KDQoNCi0gICAgICAgICAgVGhlIGNhbGwgZm9yIHRhbGtzL3dvcmtzaG9wcyBpcyBleHRlbmRl 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https://mail.python.org/mm3/mailman3/lists/geopython.python.org/ ------------------------------ End of GeoPython Digest, Vol 2, Issue 4 ***************************************

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GeoPython 2017 - Call for Contributions extended
by Christen Martin 25 Jan '17

25 Jan '17

Dear Geo & Python community I’m pleased to announce some updates for the upcoming GeoPython 2017 conference, which takes place in Basel, Switzerland May 8 to 10, 2017. - The call for talks/workshops is extended until February 15, 2017. - Early Bird Tickets are extended to February 15, 2017 More info is available at https://2017.geopython.net<https://2017.geopython.net/> Kind regards, Martin Christen & The GeoPython Organization Team

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GeoPython 2017
by Christen Martin 22 Sep '16

22 Sep '16

Hi all I’m pleased to announce the GeoPython 2017 conference will take place from May 8 – 10, 2017 in Muttenz/Basel, Switzerland. The call for workshops and talks is now open: https://2017.geopython.net There will be a community voting for selecting the contributions early next year. The conference is about “Geo with Python” and is organized by the University of Applied Sciences Northwestern Switzerland and PyBasel - the local Python User Group. Conference topics are: - GIS / Mapping - Geography / Geophysics / Geodesy / Geomatics - Earth Sciences / Environmental Sciences - Geo Visualization - Smart Cities - Spatial Data / Geo data - Geospatial Web services - Big Data - Data Processing - (Spatial) Databases - Computer Vision - Remote Sensing - Image Processing - Machine Learning - Python in General - … A first flyer is available here: https://2017.geopython.net/flyer.png Kind regards, Martin ------------------------------------------------------------------------- FHNW - University of Applied Sciences and Arts Northwestern Switzerland Institute of Geomatics Engineering Martin CHRISTEN Lecturer in Geoinformatics and 3D-Computer Graphics Gründenstrasse 40 4132 Muttenz ------------------------------------------------------------------------- martin.christen(a)fhnw.ch<mailto:martin.christen@fhnw.ch> www.fhnw.ch/personen/martin-christen<http://www.fhnw.ch/personen/martin-christen> -------------------------------------------------------------------------

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