Menjelajah dan memvisualisasikan data spasial dan atributnya

Bekerja dengan Data Geospasial di Python

Joris Van den Bossche

Open source software developer and teacher, GeoPandas maintainer

Memfilter data

countries.head()

          name      continent       gdp                            geometry
0  Afghanistan           Asia   64080.0  POLYGON ((61.21 35.65, 62.23 35...
1       Angola         Africa  189000.0  MULTIPOLYGON (((23.90 -11.72, 2...
...

countries['continent'] == 'Africa'

0      False
1       True
         ...  
175     True
176     True
Name: continent, Length: 177, dtype: bool

Memfilter data

countries_africa = countries[countries['continent'] == 'Africa']

countries_africa.plot()

Memvisualisasikan data spasial

countries.plot()

Mengatur warna: seragam

countries.plot(color="red")

Mengatur warna: berdasarkan nilai atribut

countries.plot(column='gdp_per_cap')

Plot multilapis

fig, ax = plt.subplots(figsize=(12, 6))
countries.plot(ax=ax)
cities.plot(ax=ax, color='red', markersize=10)
ax.set_axis_off()

Ayo berlatih!

Bekerja dengan Data Geospasial di Python