I have 2 coordinate variables lon and lat
(array([-50.940605, -37.424145, -41.501717, -37.98916 , -60.632664,
-38.158283, -58.0372 , -39.06596 , -60.815792, -49.303684,
-38.46074 , -50.979015, -38.479317, -58.656593, -38.40213 ,
-38.007423, -43.785126, -57.75844 , -42.781937, -74.90217 ,
-34.498913, -49.227158, -96.485504, -72.128716, -39.414085],
dtype=float32), array([-15.90009 , -15.913551 , -15.7658 , -16.47591 ,
-4.1940403 , -14.563205 , -6.032389 , -14.852597 ,
-4.24735 , 15.848547 , -14.71412 , -17.052591 ,
-14.079368 , -5.9365387 , -14.50551 , -16.48979 ,
-16.616753 , -0.23096395, -15.882113 , -5.0795455],
dtype=float32))
I want to short them and save as a .csv file like this:
-50.940605,-15.90009
-37.424145,-15.913551
-41.501717-15.7658
-37.98916,-16.47591
-60.632664-4.1940403
-38.158283-14.563205
.... and so on
I’m using the commands
coord_file = (flag_lon.data[0:100], flag_lat.data[0:100]) # they are variables extracted from a NetCDF fila
np.savetxt('coord_file.csv', coord_file, delimiter=",", fmt="%s")
print(open("coord_file.csv").read())
But it returns:
-50.940605,-37.424145,-41.501717,-37.98916,-60.632664,-38.158283,-58.0372,-39.06596,-60.815792,-49.303684,-38.46074,-50.979015,-38.479317,-58.656593,-38.40213,-38.007423,-43.785126
-15.90009,-15.913551,-15.7658,-16.47591,-4.1940403,-14.563205,-6.032389,-14.852597,-4.24735,15.848547,-14.71412,-17.052591,-14.079368,-5.9365387,-14.50551,-16.48979,-16.616753,-0.23096395,-15.882113,-5.0795455,-20.313402,15.771035,-7.3693175,-7.8538485,-14.27069,-16.976015,
How can I arrange them so that they are as pair lon,lat?
>Solution :
You can try like this
import numpy as np
lon = np.array([-50.940605, -37.424145, -41.501717, -37.98916, -60.632664])
lat = np.array([-15.90009, -15.913551, -15.7658, -16.47591, -4.1940403])
coords = np.column_stack((lon, lat))
np.savetxt('coordinates.csv', coords, delimiter=',', fmt='%.6f')