I am plotting start/end locations for tornadoes. The csv file has the data such that:
TouchDownLat TouchDownLong LiftoffLat LiftoffLong
31.53 -97.15 31.74 -96.88
46.45 -100.67 46.67 -100.47
43.1 -83.85 43.17 -83.42
etc...
What I have done was taken each latitude and longitude and separated it into a numpy array as such:
import matplotlib.pyplot as plt
import csv
import numpy as np
from mpl_toolkits.basemap import Basemap
with open(fname, 'rb') as f:
w = csv.reader(f, delimiter = ',')
for i, line in enumerate (w):
if i == 0 or line[2][0:4] not in str(range(2007,2018)):
pass
else:
lat_td.append(line[27])
long_td.append(line[28])
lat_lift.append(line[29])
long_lift.append(line[30])
touchdown = np.array([[lat_td], [long_td]])
lift = np.array([[lat_lift], [long_lift]])
For the basemap, I am finding the max/min for all the lat/long so that it makes a map to cut out the states that didn't have a tornado (example: I don't want to see California when looking at EF-5 tornado locations)
m = Basemap(projection = 'merc', llcrnrlat=float(min(lat_td)) - 2,\
urcrnrlat=float(max(lat_lift)) + 2, llcrnrlon=float(max(long_td)) - 2,\
urcrnrlon=float(min(long_lift)) + 2,lat_ts=40,resolution='l')
m.drawcoastlines()
m.fillcontinents(color='white')
m.drawmapboundary(fill_color='white')
m.drawstates(color='black')
m.drawcountries(color='black')
plt.title("#wedgez")
So, now comes the question: I am looking to plot the track of the tornado using the lat/long in the numpy array. How would I go about doing so?
If I understand correctly, you are looking for a way to plot a path, given the coordinates of the path's points. Then, you can plot the path as follows:
m = Basemap(projection = 'merc', llcrnrlat=float(min(lat_td)) - 2,\
urcrnrlat=float(max(lat_lift)) + 2, llcrnrlon=float(max(long_td)) - 2,\
urcrnrlon=float(min(long_lift)) + 2,lat_ts=40,resolution='l')
lat = [the list of lat coordinates here]
lon = [the list of lon coordinates here]
x, y = m(lon, lat)
m.plot(x, y, 'o-', markersize=5, linewidth=1)
m.drawcoastlines()
m.fillcontinents(color='white')
m.drawmapboundary(fill_color='white')
m.drawstates(color='black')
m.drawcountries(color='black')
plt.title("#wedgez")
plt.show()
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With