Practice: Earthquakes
Contents
Practice: Earthquakes#
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For this problem, we will be using the earthquakes dataset from the last lesson.
import pandas as pd
df = pd.read_csv('earthquakes.csv')
df.head() # Method to only display the first few rows
| id | year | month | day | latitude | longitude | name | magnitude | |
|---|---|---|---|---|---|---|---|---|
| 0 | nc72666881 | 2016 | 7 | 27 | 37.672333 | -121.619000 | California | 1.43 |
| 1 | us20006i0y | 2016 | 7 | 27 | 21.514600 | 94.572100 | Burma | 4.90 |
| 2 | nc72666891 | 2016 | 7 | 27 | 37.576500 | -118.859167 | California | 0.06 |
| 3 | nc72666896 | 2016 | 7 | 27 | 37.595833 | -118.994833 | California | 0.40 |
| 4 | nn00553447 | 2016 | 7 | 27 | 39.377500 | -119.845000 | Nevada | 0.30 |
Problem 0#
Compute the average magnitude of all the earthquakes in the dataset. Your result should be a float.
For testing purposes, store the result in a variable called ans0.
# Write your code here!
Problem 1#
Compute the number of earthquakes that have a magnitude greater than or equal to the average magnitude earthquake. DataFrames also support the len function to tell you the number of rows in it. Your result should be an int.
For testing purposes, store the result in a variable called ans1.
# Write your code here!
Problem 2#
Find the subset of all the earthquakes that happened on the 8th day of the month in either Tonga or Papua New Guinea. Your result should be a DataFrame.
For testing purposes, store the result in a variable called ans2.
# Write your code here!
Problem 3#
Find the row that corresponds to the location that has the largest earthquake on record. Your result should be a Series that represents that row.
For testing purposes, store the result in a variable called ans3.
Hint: It probably won’t work to try to mask this by comparing magnitudes to the largest earthquake (since a mask won’t necessarily only have a single value True). Is there a method that tells you the index of the largest value of a Series?
# Write your code here!