Closed leendertvanwolfswinkel closed 1 month ago
ipdb> results_admin.netcdf_file['time'][:]
array([ 0. , 1800.9608, 1801.9613, 1802.9617, 1803.9622, 1804.9626,
1805.963 , 1806.9634, 1807.9639, 1808.9642, 1809.9647, 1810.9652,
1811.9656, 1812.966 , 1813.9664, 1814.9668, 1815.9672, 1816.9677,
1817.9681, 1818.9685, 1819.969 , 1820.9695, 1821.9698, 1822.9705,
1823.9708, 1824.9712, 1825.9718, 1826.9722, 1827.9725, 1828.973 ,
1829.9735, 1860.9866, 1920.0111, 1980.0353, 2040.0598, 2100.084 ,
2160.108 , 2220.132 , 2280.1558, 2340.1794, 2400.2024, 2460.2246,
2520.2468, 2580.2693, 2640.2915, 2700.3137, 2760.3354, 2820.3572,
2880.378 , 2940.3984, 3000.42 , 3060.4404, 3120.4617, 3180.483 ,
3240.5044, 3300.526 , 3360.5474, 3420.5686, 3480.5903, 3540.6108],
dtype=float32
I will look into it
Same data as in #243
If I do
I would expect a list of values close to 60 (because that was the
hydro_output_time_step
I requested), but I get: