I Have a DF in which I am trying to convert the eastings/northings to long/lats. My df looks like this:
import pandas as pd import numpy as np import pyproj Postcode Eastings Northings 0 AB101AB 394235 806529 1 AB101AF 394181 806429 2 AB101AG 394230 806469 3 AB101AH 394371 806359 4 AB101AL 394296 806581
I am using a well know code block to convert the eastings and northings to long/lats and add those long/lats as new columns to the df:
def proj_transform(df): bng = pyproj.Proj("+init=EPSG:27700") wgs84 = pyproj.Proj("+init=EPSG:4326") lats = pd.Series() lons = pd.Series() for idx, val in enumerate(df['Eastings']): lon, lat = pyproj.transform(bng, wgs84, df['Eastings'][idx], df['Northings'][idx]) lats.set_value(idx, lat) lons.set_value(idx, lon) df['lat'] = lats df['lon'] = lons return df df_transform = proj_transform(my_df)
However, I keep getting the following error, "input must be an array, list, tuple or scalar". Does anyone have any insight into where I am going wrong here?