The error OutOfRangeError: latitude out of range (must be between 80 deg S and 84 deg N)" appears when I use the utm.from latlon() function on a dataframe.
When I try it for a single lat/long, however, it returns the result. I'm not sure what's going on.
e.g. dataframe
Lat Lon
0 49.183630 -121.936812
1 43.901052 -78.939154
2 43.887452 -78.871573
3 42.882137 -82.445210
4 43.372565 -79.762019
My Lat/Long is not reversed, as I checked.
Let's say utm function is defined as:
def f(x,y):
return utm.from_latlon(x,y)
And I am calling the function as:
dataframe.apply(lambda row: f(row['Lat'], row['Lon']), axis=1)
Assuming you use utm package:
import pandas as pd
import utm
df = pd.read_csv('latlon.csv')
df['utm'] = df.apply(lambda row: utm.from_latlon(*row), axis=1)
utm_cols = ['easting', 'northing', 'zone_number', 'zone_letter']
for n, col in enumerate(utm_cols):
df[col] = df['utm'].apply(lambda location: location[n])
df = df.drop('utm', axis=1)
print(df)
output
Lat Lon easting northing zone_number zone_letter
0 49.183630 -121.936812 577477.332853 5.448413e+06 10 U
1 43.901052 -78.939154 665502.266670 4.862947e+06 17 T
2 43.887452 -78.871573 670968.577419 4.861574e+06 17 T
3 42.882137 -82.445210 381977.464091 4.748739e+06 17 T
4 43.372565 -79.762019 600294.444939 4.802933e+06 17 T