I have on geoseries that I would like to project to equal area conic of lambret. However my code doesn't work.
What is wrong with it?
#piece of g_source {GeoSeries}:
156 POINT (-40.44880502028832 -11.46367489031081)
316 POINT (-39.41085010955187 -14.377529459967)
597 POINT (-41.38150747600145 -12.50530265608625)
611 POINT (-40.83168841504723 -9.831649257327703)
655 POINT (-38.65003368469574 -10.58169711296605)
762 POINT (-41.65309648409965 -13.84055043883477)
803 POINT (-40.16682973721372 -13.8128259068363)
895 POINT (-40.32563763661891 -11.44304599350725)
955 POINT (-42.83093325758571 -14.58912682266423)
1044 POINT (-44.19089700267293 -10.92335966009432)
1090 POINT (-42.48081539796195 -13.53028686200761)
1098 POINT (-42.5018315288937 -11.14269666158528)
1110 POINT (-40.58867787879641 -10.05547817406703)
1112 POINT (-42.68838715258138 -14.65174718137191)
1185 POINT (-43.50920272535527 -11.5860204677622)
1254 POINT (-40.48677193204426 -12.40027031089884)
1285 POINT (-42.15471265231525 -13.8609924490699)
1310 POINT (-43.01429033526334 -13.23693183675715)
1327 POINT (-41.07969455240436 -12.57893027527855)
1354 POINT (-40.4935550707856 -12.79451069316572)
1358 POINT (-45.59765266096689 -12.17602089331463)
1365 POINT (-39.12818338990706 -16.31180811000418)
1417 POINT (-41.8006242904709 -14.3024884040351)
1459 POINT (-38.87533320706946 -12.27064395995037)
1480 POINT (-41.7334747357795 -11.27345848882953)
1521 POINT (-40.54234022136743 -13.49153493325051)
1522 POINT (-43.26469993111385 -11.71467214706978)
Name: source, dtype: object
crs_source = {'init': 'epsg: 4674'}
crs_target = {'init': 'epsg: 102033'}
g_source = gpd.GeoSeries(data['source'].map(shapely.wkt.loads))
g_source.crs = crs_source
g_source.to_crs(crs_target)
Best Answer
GeoPandas uses pyproj for the projections (requirements) and pyproj does not know the crs EPSG:102033 (does not exist) nor the ESRI:102033 South_America_Albers_Equal_Area_Conic (look at GIS SE: Projected coordinate system for South America)
But you can use the Proj4 string of the ESRI:102033 projection
With pyproj
Therefore, with GeoPandas