Visualizing Earthquakes

Using USGS data, I visualize the magnitude and location of earthquakes that have occurred over the past day. Disclaimer: This data includes ‘quarry blasts’ and ‘explosions’ that can be easily filtered out.

All Earthquakes form the past day | 09.27.2017

import csv
    
def setup():
    size(600, 600)
    
    with open("quakes.csv") as f:
        reader = csv.reader(f)
        header = reader.next()
        
        # print header
    
        global magnitudes
        magnitudes = []
        
        for row in reader:
            magnitude = float(row[4])
            magnitudes.append(magnitude)
            
            # print magnitudes
def draw():
    background(44, 62, 80)
    scalar = 100
    barWidth = 5
    x = 0
    
    textSize(14)
    text("The earthquake magnitude is ", 50, 350)
    
    for place, magnitude in zip(places, magnitudes):
        
        leftEdge = x - (barWidth)/2
        rightEdge = x + (barWidth)/2
        
        if leftEdge < mouseX and mouseX < rightEdge:
            fill(236,100,75)
            text(str(magnitude), 260, 350)
            text(str(place), 300, 350)
            # fill(236,100,75)
            rect(x, height/2, barWidth, (magnitude*scalar)*(-1))
        else:
            fill(197, 239, 247)
            rect(x, height/2, 5, (magnitude*scalar)*(-1))
        x += 10

Finally got the SlippyMapper library to work; but I think the projection is off (it dropped me in Paramus, NJ) so I have some more internal rubber-ducking to do.