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#!pip install html5lib #install html5lib, only needs to be run once | |
import pandas as pd | |
import numpy as np | |
earthquake_data='https://proxy.mentoracademy.org/getContentFromUrl/?userid=brooks&url=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FList_of_earthquakes_in_the_United_States' | |
df = pd.read_html(earthquake_data, header=0)[0] | |
df=df[df['Magnitude']!='Unknown'] #get rid of all the data where there is no known magnitude | |
df['Magnitude']=df['Magnitude'].apply(lambda x: x.split(", ")[0]) #for data where there are two values report with a comma, just take the first value | |
df['Magnitude']=df['Magnitude'].apply(lambda x: np.mean(np.array(x.split('–')).astype(float))) #average all ranges of values | |
print(len(df[df['Magnitude']>7])) #print out how many earthquakes on this list had values >7 |
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