scripts.py

import pandas as pd
import matplotlib.pyplot as plt
import datetime

df = pd.read_csv('finaldatasetearthquake.csv')

df['time'] = df['time'].apply(lambda x: datetime.datetime.strptime(x, "%Y-%m-%dT%H:%M:%S.%fZ"))
df['time'] = df['time'].apply(lambda x: x.timestamp())

df = df[['time', 'latitude', 'longitude', 'depth', 'mag']]

df = df.fillna(0)

from mpl_toolkits.basemap import Basemap

m = Basemap(projection='mill',llcrnrlat=-80,urcrnrlat=80, llcrnrlon=-180,urcrnrlon=180,lat_ts=20,resolution='c')

longitudes = df["longitude"].tolist()
latitudes = df["latitude"].tolist()
#m = Basemap(width=12000000,height=9000000,projection='lcc',
            #resolution=None,lat_1=80.,lat_2=55,lat_0=80,lon_0=-107.)
x,y = m(longitudes,latitudes)

fig = plt.figure(figsize=(12,10))
plt.title("All affected areas")
m.plot(x, y, "o", markersize = 2, color = 'blue')
m.drawcoastlines()
m.fillcontinents(color='coral',lake_color='aqua')
m.drawmapboundary()
m.drawcountries()
plt.show()