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120 lines
2.8 KiB
120 lines
2.8 KiB
# -*- coding: utf-8 -*-
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import csv
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from dataclasses import dataclass
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from datetime import datetime
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import cartopy.crs as ccrs
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import matplotlib.pyplot as plt
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import cartopy.feature as cfeature
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from mpl_toolkits.axes_grid1.inset_locator import inset_axes
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from cartopy import geodesic
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import shapely.geometry as sgeom
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proj = ccrs.AlbersEqualArea(
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central_longitude=-93,
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central_latitude=35,
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)
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water_blue = "#7ebfd4"
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def phys(name, resolv):
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return cfeature.NaturalEarthFeature('physical', name, resolv, facecolor="none")
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def cultural(name, resolv):
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return cfeature.NaturalEarthFeature('cultural', name, resolv, facecolor="none")
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land = phys("land", "50m")
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rivers = phys("rivers_lake_centerlines", "50m")
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lakes = phys("lakes", "50m")
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countries = cultural("admin_0_countries", "50m")
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states = cultural("admin_1_states_provinces_lines", "50m")
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@dataclass
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class Tornado:
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om: str
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yr: str
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mo: str
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dy: str
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date: str
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time: str
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tz: str
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st: str
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stf: str
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stn: str
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mag: str
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inj: str
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fat: str
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loss: str
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closs: str
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slat: str
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slon: str
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elat: str
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elon: str
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len: str
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wid: str
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ns: str
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sn: str
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sg: str
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f1: str
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f2: str
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f3: str
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f4: str
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fc: str
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def __post_init__(self):
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self.id = int(self.om)
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self.dt = datetime.strptime(self.date, "%Y-%m-%d")
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self.slon = float(self.slon)
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self.slat = float(self.slat)
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self.elon = float(self.elon)
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self.elat = float(self.elat)
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def __repr__(self):
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return "<tornado {id} {date}>".format(id=self.id, date=self.dt)
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def read_data():
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tornados = []
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with open("1950-2017_actual_tornadoes.csv", newline='') as csvfile:
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reader = csv.DictReader(csvfile)
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for i, row in enumerate(reader):
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tornados.append(Tornado(**row))
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return tornados
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def draw_map(lons, lats):
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fig = plt.figure(frameon=False, figsize=(8, 4.61))
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ax = fig.add_axes([0, 0, 1, 1], projection=proj)
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ax.background_patch.set_facecolor(water_blue)
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ax.set_extent([-122, -65, 20, 50], ccrs.Geodetic())
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ax.add_feature(land, facecolor="#f0f0f0")
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ax.add_feature(rivers, edgecolor=water_blue)
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ax.add_feature(lakes, facecolor=water_blue)
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ax.add_feature(countries, edgecolor="grey", linewidth=0.2, alpha=0.6, dashes='--')
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ax.add_feature(states, edgecolor="grey", linewidth=0.2, alpha=0.4, dashes='--')
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ax.plot(lons, lats, 'r', lw=0.2, alpha=0.7, transform=ccrs.Geodetic())
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ax.axis('off')
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plt.savefig("tornados_us.png", dpi=320)
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if __name__ == '__main__':
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ts = read_data()
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lons = []
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lats = []
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for t in ts:
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if t.elon < 0:
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lons.append(t.slon)
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lons.append(t.elon)
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lons.append(None)
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lats.append(t.slat)
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lats.append(t.elat)
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lats.append(None)
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draw_map(lons, lats)
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