Closed kinverarity1 closed 2 years ago
When trying to go from three arrays for MD, inclination and azimuth, to TVD, easting and northing, the documentation is misleading. It suggests:
dev = wp.deviation( md = md, inc = inc, azi = azi, ) tvd, northing, easting, dls = dev.mininum_curvature(course_length=30)
but the second line here results in an error - my code:
dev = wp.deviation(md=df.index, inc=df['TILT'], azi=df['AZIMUT']) tvd, northing, easting, dls = dev.minimum_curvature()
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Input In [35], in <cell line: 2>() 9 y = float(las.well.NORTHING.value) 10 dev = wp.deviation(md=df.index, inc=df['TILT'], azi=df['AZIMUT']) ---> 11 tvd, northing, easting, dls = dev.minimum_curvature() 12 dhs.append({ 13 "las": las, 14 "df": df, (...) 17 "y": y 18 }) 19 dh_df = pd.DataFrame(dhs) TypeError: cannot unpack non-iterable minimum_curvature object
The PR updates the docs example to reflect how the package appears to work instead.
When trying to go from three arrays for MD, inclination and azimuth, to TVD, easting and northing, the documentation is misleading. It suggests:
but the second line here results in an error - my code:
The PR updates the docs example to reflect how the package appears to work instead.