python - Select specific regions of .shp file using Geopandas -

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i have .shp file contains limits of oceans , seas. but, instead of plotting of them, i'm interested in 6. geopandas creates similar dataframe (let's call "df"), pandas. possible create new dataframe ("df1") have selected areas of "df"? 

from mpl_toolkits.basemap import basemap import numpy np import matplotlib.pyplot plt import geopandas gp  tes = gp.read_file(r'your\path\world_seas_iho_v1\world_seas.shp')  tes1 = tes[(tes.name == "north pacific ocean"),            (tes.name == "south pacific ocean")]  tes1.plot()  plt.show() plt.ion()

when run this, "tes1" gets error:

"series objects mutable, cannot hashed."

any idea?

thanks!

(tes.name == "north pacific ocean"), (tes.name == "south pacific ocean") tuple of boolean series. can't pass indexer. want use bitwise or | combine boolean series , use result slice dataframe.

from mpl_toolkits.basemap import basemap import numpy np import matplotlib.pyplot plt import geopandas gp  tes = gp.read_file(r'your\path\world_seas_iho_v1\world_seas.shp')  tes1 = tes[(tes.name == "north pacific ocean") |            (tes.name == "south pacific ocean")]  tes1.plot()  plt.show() plt.ion()

or use isin

tes = gp.read_file(r'your\path\world_seas_iho_v1\world_seas.shp')  tes1 = tes[tes.name.isin(['north pacific ocean', 'south pacific ocean'])]  tes1.plot()  plt.show() plt.ion()

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