Perbandingan kuantitatif: scatter plot

Pengantar Visualisasi Data dengan Matplotlib

Ariel Rokem

Data Scientist

Pengenalan scatter plot

fig, ax = plt.subplots()

ax.scatter(climate_change["co2"], climate_change["relative_temp"])

ax.set_xlabel("CO2 (ppm)")
ax.set_ylabel("Suhu relatif (Celsius)")
plt.show()

Kustomisasi scatter plot

eighties = climate_change["1980-01-01":"1989-12-31"]
nineties = climate_change["1990-01-01":"1999-12-31"]

fig, ax = plt.subplots()

ax.scatter(eighties["co2"], eighties["relative_temp"],
           color="red", label="eighties")

ax.scatter(nineties["co2"], nineties["relative_temp"],
           color="blue", label="nineties")

ax.legend()

ax.set_xlabel("CO2 (ppm)")
ax.set_ylabel("Suhu relatif (Celsius)")

plt.show()

Mengkoding perbandingan dengan warna

Mengkoding variabel ketiga dengan warna

fig, ax = plt.subplots()

ax.scatter(climate_change["co2"], climate_change["relative_temp"],
           c=climate_change.index)

ax.set_xlabel("CO2 (ppm)")
ax.set_ylabel("Suhu relatif (Celsius)")
plt.show()

Mengkoding waktu dengan warna

Ayo berlatih membuat scatter plot!

Pengantar Visualisasi Data dengan Matplotlib