I have a list, each row contains 4 floats (should represent a bounding box)
[[7.426758, 47.398349, 7.850835593464796, 47.68617800490421],
[7.850835593464796, 47.398349, 8.274913186929592, 47.68617800490421],
[8.274913186929592, 47.398349, 8.698990780394388, 47.68617800490421]]
I would like to round each float to 6 decimal places. I tried to round the numbers using pandas, but it also didn't work.
{49: '7.850835593464796,49.12532302942521,8.274913186929592,49.413152034329414',
17: '7.850835593464796,47.9740070098084,8.274913186929592,48.26183601471261',
71: '10.395301154253572,49.70098103923361,10.819378747718368,49.988810044137814'}
CodePudding user response:
Try numpy.around
:
# lst is your list
np.around(lst, 6).tolist()
Output:
[[7.426758, 47.398349, 7.850836, 47.686178],
[7.850836, 47.398349, 8.274913, 47.686178],
[8.274913, 47.398349, 8.698991, 47.686178]]