Very rough first try to show all tornado traces

.gitignore

@@ -94,3 +94,4 @@ ENV/
 # Rope project settings
 .ropeproject
 
+*.csv

Makefile

@@ -0,0 +1,12 @@
+all: tornados_us.png
+
+1950-2017_actual_tornadoes.csv:
+	curl -O https://www.spc.noaa.gov/wcm/data/1950-2017_actual_tornadoes.csv
+
+%.png: %.py 1950-2017_actual_tornadoes.csv
+	pipenv run python $^
+
+clean:
+	rm -f *.png
+
+.PHONY: all clean

Pipfile

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+[[source]]
+name = "pypi"
+url = "https://pypi.org/simple"
+verify_ssl = true
+
+[dev-packages]
+
+[packages]
+matplotlib = "*"
+cartopy = "*"
+scipy = "*"
+
+[requires]
+python_version = "3.7"

README.markdown

@@ -0,0 +1,17 @@
+Map of tornado historic tornado traces
+======================================
+
+Data from https://www.spc.noaa.gov/wcm
+
+
+## All US tornados 1950-20017
+
+![map of US with traces of tornado paths](tornados_us.png)
+
+
+### Dev
+
+Using pipenv
+
+    $ pipenv install
+    $ make

README.md

@@ -1,3 +0,0 @@
-# tornado-map
-
-Map of tornado historic tornado traces

tornados_us.py

@@ -0,0 +1,115 @@
+# -*- coding: utf-8 -*-
+
+import csv
+from dataclasses import dataclass
+from datetime import datetime
+
+import cartopy.crs as ccrs
+import matplotlib.pyplot as plt
+import cartopy.feature as cfeature
+from mpl_toolkits.axes_grid1.inset_locator import inset_axes
+from cartopy import geodesic
+import shapely.geometry as sgeom
+
+
+proj = ccrs.AlbersEqualArea(
+    central_longitude=-95,
+    central_latitude=40,
+)
+water_blue = "#7ebfd4"
+
+
+def phys(name, resolv):
+    return cfeature.NaturalEarthFeature('physical', name, resolv, facecolor="none")
+
+
+def cultural(name, resolv):
+    return cfeature.NaturalEarthFeature('cultural', name, resolv, facecolor="none")
+
+
+land = phys("land", "50m")
+rivers = phys("rivers_lake_centerlines", "50m")
+lakes = phys("lakes", "50m")
+countries = cultural("admin_0_countries", "50m")
+states = cultural("admin_1_states_provinces_lines", "50m")
+
+
+@dataclass
+class Tornado:
+    om: str
+    yr: str
+    mo: str
+    dy: str
+    date: str
+    time: str
+    tz: str
+    st: str
+    stf: str
+    stn: str
+    mag: str
+    inj: str
+    fat: str
+    loss: str
+    closs: str
+    slat: str
+    slon: str
+    elat: str
+    elon: str
+    len: str
+    wid: str
+    ns: str
+    sn: str
+    sg: str
+    f1: str
+    f2: str
+    f3: str
+    f4: str
+    fc: str
+
+    def __post_init__(self):
+        self.id = int(self.om)
+        self.dt = datetime.strptime(self.date, "%Y-%m-%d")
+        self.slon = float(self.slon)
+        self.slat = float(self.slat)
+        self.elon = float(self.elon)
+        self.elat = float(self.elat)
+
+    def __repr__(self):
+        return "<tornado {id} {date}>".format(id=self.id, date=self.dt)
+
+
+def read_data():
+    tornados = []
+    with open("1950-2017_actual_tornadoes.csv", newline='') as csvfile:
+        reader = csv.DictReader(csvfile)
+        for i, row in enumerate(reader):
+            tornados.append(Tornado(**row))
+    return tornados
+
+
+def draw_map(data):
+    fig = plt.figure(frameon=False)
+    ax = fig.add_subplot(111, projection=proj)
+    ax.background_patch.set_facecolor(water_blue)
+    ax.set_extent([-125, -65, 20, 50], ccrs.Geodetic())
+    ax.add_feature(land, facecolor="#f0f0f0")
+    ax.add_feature(rivers, edgecolor=water_blue)
+    ax.add_feature(lakes, facecolor=water_blue)
+
+    ax.add_feature(countries, edgecolor="grey", linewidth=0.2, alpha=0.6, dashes='--')
+    ax.add_feature(states, edgecolor="grey", linewidth=0.2, alpha=0.4, dashes='--')
+
+    for i, t in enumerate(data):
+        print(i)
+        if t.elon < 0:
+            ax.plot([t.slon, t.elon], [t.slat, t.elat], 'r', lw=0.3, transform=ccrs.Geodetic())
+        else:
+            ax.plot([t.slon, t.slon], [t.slat, t.slat], 'r', lw=0.3, transform=ccrs.Geodetic())
+
+    fig.tight_layout()
+    plt.savefig("tornados_us.png", dpi=320)
+
+
+if __name__ == '__main__':
+    ts = read_data()
+    draw_map(ts)