Introduction to Data Visualization with Matplotlib
Ariel Rokem
Data Scientist
ax.plot(seattle_weather["MONTH"],
seattle_weather["MLY-PRCP-NORMAL"],
color='b')
ax.set_xlabel("Time (months)")
ax.set_ylabel("Precipitation (inches)")
plt.show()
ax.plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-25PCTL"],
linestyle='--', color='b')
ax.plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-75PCTL"],
linestyle='--', color=color)
plt.show()
ax.plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-NORMAL"],
color='r')
ax.plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-25PCTL"],
linestyle='--', color='r')
ax.plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-75PCTL"],
linestyle='--', color='r')
plt.show()
fig, ax = plt.subplots()
fig, ax = plt.subplots(3, 2)
plt.show()
ax.shape
(3, 2)
ax[0, 0].plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-NORMAL"], color='b')
plt.show()
fig, ax = plt.subplots(2, 1)
ax[0].plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-NORMAL"], color='b') ax[0].plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-25PCTL"], linestyle='--', color='b') ax[0].plot(seattle_weather["MONTH"], seattle_weather["MLY-PRCP-75PCTL"], linestyle='--', color='b')
ax[1].plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-NORMAL"], color='r') ax[1].plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-25PCTL"], linestyle='--', color='r') ax[1].plot(austin_weather["MONTH"], austin_weather["MLY-PRCP-75PCTL"], linestyle='--', color='r')
ax[0].set_ylabel("Precipitation (inches)") ax[1].set_ylabel("Precipitation (inches)")
ax[1].set_xlabel("Time (months)")
plt.show()
fig, ax = plt.subplots(2, 1, sharey=True)
Introduction to Data Visualization with Matplotlib