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20 changes: 19 additions & 1 deletion pygmt/src/grdvolume.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,8 @@
use_alias,
)

__doctest_skip__ = ["grdvolume"]


@fmt_docstring
@use_alias(
Expand Down Expand Up @@ -74,7 +76,23 @@ def grdvolume(grid, output_type="pandas", outfile=None, **kwargs):
``outfile``)
- :class:`pandas.DataFrame` or :class:`numpy.ndarray` if ``outfile``
is not set (depends on ``output_type`` [Default is
class:`pandas.DataFrame`])
:class:`pandas.DataFrame`])

Example
-------
>>> import pygmt
>>> # Load a grid of @earth_relief_30m data, with an x-range of 10 to 30
>>> # degrees, and a y-range of 15 to 25 degrees
>>> grid = pygmt.datasets.load_earth_relief(
... resolution="30m", region=[10, 30, 15, 25]
... )
>>> # Create a numpy ndarray that contains the contour, area, volume, and
>>> # maximum mean height above the plane specified by the given contour
>>> # and below the surface; set the minimum contour z-value to 200, the
>>> # maximum to 400, and the interval to 50.
>>> output_array = pygmt.grdvolume(
... grid=grid, contour=[200, 400, 50], output_type="numpy"
... )
"""
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Ideally, we would have nice column names like in grdhisteq:

>>> bins = pygmt.grdhisteq.compute_bins(grid=grid, divisions=5)
>>> print(bins)
start stop
bin_id
0 179.0 397.5
1 397.5 475.5
2 475.5 573.5
3 573.5 710.5
4 710.5 2103.0

But for the sake of time, and just finish this inline example, let's go with this:

Suggested change
"""
>>> print(output_dataframe)
0 1 2 3
0 200 2.144285e+12 7.972228e+14 371.789489
1 250 2.104042e+12 6.908183e+14 328.329232
2 300 2.014978e+12 5.877195e+14 291.675420
3 350 1.892109e+12 4.897545e+14 258.840510
4 400 1.744792e+12 3.988316e+14 228.584026
"""

if output_type not in ["numpy", "pandas", "file"]:
raise GMTInvalidInput(
Expand Down