GeoPandas feature parity

[jorisvandenbossche]

Quickly exploring which spatial methods that are defined in GeoPandas are not yet available here:

import pandas as pd
import geopandas
import dask.dataframe as dd
import dask_geopandas

methods_pandas = set([n for n in dir(pd.DataFrame) if not n.startswith("_")])
methods_geopandas = set([n for n in dir(geopandas.GeoDataFrame) if not n.startswith("_")])
methods_dask = set([n for n in dir(dd.DataFrame) if not n.startswith("_")])
methods_dask_geopandas = set([n for n in dir(dask_geopandas.GeoDataFrame) if not n.startswith("_")])

methods_geopandas_extra = methods_geopandas - methods_pandas
methods_dask_geopandas_extra = methods_dask_geopandas - methods_dask

>>> methods_geopandas_extra - methods_dask_geopandas_extra
{'cascaded_union',
 'covered_by',
 'covers',
 'estimate_utm_crs',
 'explore',
 'from_features',
 'from_file',
 'from_postgis',
 'has_sindex',
 'iterfeatures',
 'overlay',
 'rename_geometry',
 'sjoin',
 'sjoin_nearest',
 'to_file',
 'to_postgis',
 'to_wkb',
 'to_wkt'}

>>> methods_dask_geopandas_extra - methods_geopandas_extra
{'calculate_spatial_partitions',
 'hilbert_distance',
 'interpolate',
 'morton_distance',
 'set_geometry',
 'to_dask_dataframe'}

Some quick first notes:

• covers and covered_by are 2 missing predicates that should be trivial to add here
• sjoin was added as a method in geopandas, we should do the same here

[martinfleis]

One more thing to this is also API parity, e.g. sjoin in geopandas now uses predicate while here we still have op only.

[jorisvandenbossche]

An updated version:

>>> methods_geopandas_extra - methods_dask_geopandas_extra
{'cascaded_union',
 'clip_by_rect',
 'estimate_utm_crs',
 'explore',
 'from_features',
 'from_file',
 'from_postgis',
 'has_sindex',
 'iterfeatures',
 'overlay',
 'sjoin_nearest',
 'to_file',

I think from this list, overlay and sjoin_nearest are the most useful (but also complicated).
clip_by_rect is probably easy to add (since it's an element-wise operation, similarly to intersection).
to_file depends on how we want to deal with writing multiple partitions (write multiple files? Or append to a single file, but this produces a serial bottleneck in the graph)

[martinfleis]

explore should probably use datashader as spatial pandas does. Certainly not dumping data to leaflet.

[rabernat]

Big 👍 to overlay. Is it significantly more complicated than sjoin?

[martinfleis]

Is it significantly more complicated than sjoin?

I am afraid so. See #217 (comment)

[alejohz]

👍 to explore . Is this on the roadmap?

[martinfleis]

@alejohz I will tentatively say yes with a note that it will be a datashader-based method using holoviz ecosystem most likely, so a bit different than explore in vanilla GeoPandas.

[Geoyi]

I am wondering if overlay has been actively working on here.