Vapor supports a variety of scientific data formats. This notebook shows how to open a dataset and query its metadata.
import example_utils
from vapor import session, renderer, dataset, camera---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 1
----> 1 import example_utils
2 from vapor import session, renderer, dataset, camera
File ~/work/vapor-python-cookbook/vapor-python-cookbook/notebooks/example_utils.py:20
16 sys.path.append('..')
19 from inspect import signature
---> 20 import numpy as np
21 from math import sin
23 def SampleFunctionOnRegularGrid(f, ext=None, shape=None):
ModuleNotFoundError: No module named 'numpy'print("Supported dataset types:", dataset.Dataset.GetDatasetTypes())ses = session.Session()
data = example_utils.OpenExampleDataset(ses)
# Examples of opening real data
#
# data = ses.OpenDataset(dataset.WRF, ["data/wrf_out.0001", "data/wrf_out.0002"])
# data = ses.OpenDataset(dataset.VDC, ["master.vdc"])
# data = ses.OpenDataset(dataset.MPAS, ["x1.static.nc", "diag.2021-03-04_10.30.00.nc"])Dump the dataset metadata¶
dataRender the first 2D variable as a wireframe¶
ren = data.NewRenderer(renderer.WireFrameRenderer)
ren.SetVariableName(data.GetDataVarNames(2)[0]) # Set to first 2D data variable
ses.GetCamera().ViewAll()
ses.Show()