I am trying to convert a set of local co ordinates into lat/long and vice versa and I have the code for it taken from this site itself , the issue is When I do these conversions they are not resulting the same.

converting local co ordinates to lat long:

import pyproj
import utm
x = -20509.2462745155
y = -125891.862952247
p = pyproj.Proj("+proj=tmerc +lat_0=34.863361375 +lon_0=138.273186441 +k_0=1.000008632 +a=6378137.0 +b=6356752.314200002 +x_0=-20737.317 +y_0=-126072.022 +units=m +no_defs")
lon, lat = p(x, y, inverse=True)
print(lat,lon)  = 34.864985295652794 138.27568068953587

I also tried the inverse of the above code and it is not working as well.

lat =34.864985295652794
lon= 138.27568068953587
p = pyproj.Proj("+proj=tmerc +lat_0=34.863361375 +lon_0=138.273186441 +k_0=1.000008632 +a=6378137.0 +b=6356752.314200002 +x_0=-20737.317 +y_0=-126072.022 +units=m +no_defs")
print(nx,ny) = 138.50356927081015 36.00068760121446

converting lat long into local coordinates using UTM package.

x, y, zone, ut = utm.from_latlon(34.864985295652794, 138.27568068953587)
print(x,y) = 250960.9300530484 3861456.658975485

as you can see the second piece of code is not exactly returning the X and Y values from the first code snippet.

I am not sure why this is happening , also I can notice that the first couple of values match. If this is not the proper way to perform this operation then , I would like to know how to approach this.

  • But you are using 2 different projections, what happens if you use p instead of utm
    – Ian Turton
    Jul 20, 2020 at 17:21
  • @IanTurton the How do I do that? I couldnt find a way in the UTM package for me to input the proj string
    – Anarach
    Jul 20, 2020 at 17:28
  • How about x, y = p(lat, lon) ?
    – Ian Turton
    Jul 20, 2020 at 18:42
  • @IanTurton Doesnt work Ian , I have edited the question.
    – Anarach
    Jul 21, 2020 at 4:53
  • but you don't want the inverse the 2nd time so set inverse=False
    – Ian Turton
    Jul 21, 2020 at 8:06

1 Answer 1


You are mixing and matching two distinct projections which why they don't match. You need to do something like this:

>>> import pyproj
>>> x = -20509.2462745155
>>> y = -125891.862952247
>>> lon, lat = p(x, y, inverse=True)
>>> print(lat,lon)
(34.864985295652794, 138.27568068953587)
>>> nx, ny = p(lon, lat, inverse=False)
>>> print(nx, ny)
(-20509.246274514833, -125891.8629522473)
>>> print (nx-x, ny-y)
(6.657501216977835e-10, -3.055902197957039e-10)

Which seems close enough to me.

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