Dear Mr. Van den Bossche.. Joris..
Greetings of the day.. Thank you soooo much for the email update.. may god bless.. i look forward to tiring it.. and i have passed to my eager colleagues .. thanks a lot.. wishing you a great pleasant start of the week..
Best regards, take care.. have a ice day..
On 2020-06-24 17:18, Joris Van den Bossche wrote:
We are pleased to announce a new release of GeoPandas!
Highlights: more IO (PostGIS, Parquet, Feather), optional speed-up using PyGEOS, better support for multiple geometry columns, and lots of other fixes and improvements. 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/ 
Experimental: optional use of PyGEOS to speed up spatial operations (#1155 ). PyGEOS is a faster alternative for Shapely (being contributed back to a future version of Shapely), and is used in element-wise spatial operations and for spatial index in e.g. sjoin (#1343 , #1401 , #1421 , #1427 , #1428 ). See the installation docs  for more info and how to enable it.
New features and improvements:
New GeoDataFrame.to_postgis() method to write to PostGIS database (#1248 ).
New chunksize keyword in geopandas.read_postgis to read a query in chunks (#1123 ).
Improvements related to geometry columns and CRS:
Any column of the GeoDataFrame that has a "geometry" dtype is now returned as a GeoSeries. This means that when having multiple geometry columns, not only the "active" geometry column is returned as a GeoSeries, but also accessing another geometry column (gdf["other_geom_column"]) gives a GeoSeries (#1336 ).
New set_crs() method on GeoDataFrame/GeoSeries to set the CRS of naive geometries (#747 ).
Improvements related to plotting:
The y-axis is now scaled depending on the center of the plot when using a geographic CRS, instead of using an equal aspect ratio (#1290 ).
For choropleths using a classification scheme (using scheme=), the legend_kwds accept two new keywords to control the formatting of the legend: fmt with a format string for the bin edges (#1253 ), and labels to pass fully custom class labels (#1302 ).
New covers() and covered_by() methods on GeoSeries/GeoDataframe for the equivalent spatial predicates (#1460 , #1462 ).
And we now have a Code of Conduct !
GeoPandas 0.8.0 is the last release to support Python 3.5. The next release will require Python 3.6, pandas 0.24, numpy 1.15 and shapely 1.6 or higher.
Thanks to everyone who contributed to this release! A total of 28 people contributed patches to this release. People with a "+" by their names contributed a patch for the first time.
-- The GeoPandas developers
 https://github.com/geopandas/geopandas/issues  http://geopandas.readthedocs.io/en/stable/  https://github.com/geopandas/geopandas/issues/1155  https://github.com/geopandas/geopandas/pull/1343  https://github.com/geopandas/geopandas/pull/1401  https://github.com/geopandas/geopandas/pull/1421  https://github.com/geopandas/geopandas/pull/1427  https://github.com/geopandas/geopandas/pull/1428  https://geopandas.readthedocs.io/en/latest/install.html#using-the-optional-p...  https://github.com/geopandas/geopandas/pull/1248  https://github.com/geopandas/geopandas/pull/1180  https://github.com/geopandas/geopandas/pull/1435  https://github.com/geopandas/geopandas/pull/1229  https://github.com/geopandas/geopandas/pull/1383  https://github.com/geopandas/geopandas/pull/1329  https://github.com/geopandas/geopandas/pull/802  https://github.com/geopandas/geopandas/pull/1123  https://github.com/geopandas/geopandas/pull/1336  https://github.com/geopandas/geopandas/pull/1339  https://github.com/geopandas/geopandas/pull/747  https://github.com/geopandas/geopandas/pull/1290  https://github.com/geopandas/geopandas/pull/1483  https://github.com/geopandas/geopandas/pull/1173  https://github.com/geopandas/geopandas/pull/1253  https://github.com/geopandas/geopandas/pull/1302  https://github.com/geopandas/geopandas/pull/1460  https://github.com/geopandas/geopandas/pull/1462  https://github.com/geopandas/geopandas/pull/1378  https://geopandas.readthedocs.io/en/latest/projections.html#projection-for-m...  https://github.com/geopandas/geopandas/pull/656  http://geopandas.io  https://github.com/geopandas/geopandas/pull/1407  https://github.com/geopandas/geopandas/pull/1255  https://github.com/geopandas/geopandas/pull/1438  https://github.com/geopandas/geopandas/pull/1440  https://github.com/geopandas/geopandas/pull/1312  https://github.com/geopandas/geopandas/pull/1309  https://github.com/geopandas/geopandas/pull/1365  https://github.com/geopandas/geopandas/pull/1318  https://github.com/geopandas/geopandas/issues/1340  https://github.com/geopandas/geopandas/issues/1362  https://github.com/geopandas/geopandas/issues/1366  https://github.com/geopandas/geopandas/pull/1445  https://github.com/geopandas/geopandas/pull/1425  https://github.com/geopandas/geopandas/pull/1451  https://github.com/geopandas/geopandas/pull/1385  https://github.com/geopandas/geopandas/blob/master/CODE_OF_CONDUCT.md
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