def test_load_vec():
fname = "Run000001.T000.D000.P000.H001.L.vec"
data = io.load_vec(os.path.join(path, "Insight", fname))
assert data["u"].shape == (63, 63, 1)
assert data["u"][0, 0, 0] == 0.0
assert np.allclose(data.coords["x"][0], 0.31248)
assert "t" in data.dims
def test_loadopenpivtxt():
data = io.load_vec(os.path.join(path, "openpiv", "exp1_001_b.txt"))
def test_quiver_openpiv_vec():
filename = pkg.resource_filename("pivpy", "data/openpiv/exp1_001_b.vec")
# load data
_d = io.load_vec(filename)
_d.piv.quiver()
from pivpy import io, graphics, pivpy
import pkg_resources as pkg
# f1 = 'Run000001.T000.D000.P000.H001.L.vec'
filename = pkg.resource_filename(
"pivpy", "data/Insight/Run000001.T000.D000.P000.H001.L.vec")
# load data
_d = io.load_vec(filename)
def test_showscal():
graphics.showscal(_d, property="ke")
def test_quiver():
graphics.quiver(_d)
_d.piv.quiver()
def test_xarray_plot():
_d.piv.vec2scal(property="curl")
_d["w"].isel(t=0).plot.pcolormesh()
def test_histogram():
graphics.histogram(_d)
def test_showf():
graphics.showf(_d)
def test_pan():
""" test a shift by dx,dy using pan method """
_a = io.load_vec(os.path.join(path, f1))
_c = _a.piv.pan(1.0, -1.0) # note the use of .piv.
assert np.allclose(_c.coords["x"][0], 1.312480)
assert np.allclose(_c.coords["y"][0], -1.31248)
def test_curl():
""" tests curl that is also vorticity """
_a = io.load_vec(os.path.join(path, f1))
_a.piv.vec2scal(property="curl")
assert _a.attrs["variables"][-1] == "vorticity"
# test_methods.py
from pivpy import io, pivpy
import numpy as np
import pkg_resources as pkg
import os
f1 = "Run000001.T000.D000.P000.H001.L.vec"
f2 = "Run000002.T000.D000.P000.H001.L.vec"
path = pkg.resource_filename("pivpy", "data/Insight")
_a = io.load_vec(os.path.join(path, f1))
_b = io.load_vec(os.path.join(path, f2))
def test_crop():
""" tests crop """
_c = _a.piv.crop([5, 15, -5, -15])
assert _c.u.shape == (32, 32, 1)
_c = io.create_sample_dataset()
_c = _c.sel(x=slice(35, 70), y=slice(30, 90))
assert _c.u.shape == (2, 2, 5) # note the last dimension is preserved
def test_pan():
""" test a shift by dx,dy using pan method """
_a = io.load_vec(os.path.join(path, f1))
_c = _a.piv.pan(1.0, -1.0) # note the use of .piv.
assert np.allclose(_c.coords["x"][0], 1.312480)
assert np.allclose(_c.coords["y"][0], -1.31248)