-
-
Save ageorgou/d82896a2291dd7c45e0fde1f32e761a7 to your computer and use it in GitHub Desktop.
Outline for plotting earthquakes
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from datetime import date | |
import matplotlib.pyplot as plt | |
def get_data(): | |
"""Retrieve the data we will be working with.""" | |
... | |
def get_year(earthquake): | |
"""Extract the year in which an earthquake happened.""" | |
timestamp = earthquake['properties']['time'] | |
# The time is given in a strange-looking but commonly-used format. | |
# To understand it, we can look at the documentation of the source data: | |
# https://earthquake.usgs.gov/data/comcat/index.php#time | |
# Fortunately, Python provides a way of interpreting this timestamp: | |
# (Question for discussion: Why do we divide by 1000?) | |
year = date.fromtimestamp(timestamp/1000).year | |
return year | |
def get_magnitude(earthquake): | |
"""Retrive the magnitude of an earthquake item.""" | |
... | |
# This is function you may want to create to break down the computations, | |
# although it is not necessary. You may also change it to something different. | |
def get_magnitudes_per_year(earthquakes): | |
"""Retrieve the magnitudes of all the earthquakes in a given year. | |
Returns a dictionary with years as keys, and lists of magnitudes as values. | |
""" | |
... | |
def plot_average_magnitude_per_year(earthquakes): | |
... | |
def plot_number_per_year(earthquakes): | |
... | |
# Get the data we will work with | |
quakes = get_data()['features'] | |
# Plot the results - this is not perfect since the x axis is shown as real | |
# numbers rather than integers, which is what we would prefer! | |
plot_number_per_year(quakes) | |
plt.clf() # This clears the figure, so that we don't overlay the two plots | |
plot_average_magnitude_per_year(quakes) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment