def read_file(cls, filename, make_complex=True, property_to_vars=True, guess_unit=True, normalize=True, make_matrix=False, merge=True, verbose=False, multiple_files=True, hyper=False, encoding="cp1252", **kw): obj = cls(make_complex=make_complex, property_to_vars=property_to_vars, guess_unit=guess_unit, normalize=normalize, make_matrix=make_matrix, merge=merge, verbose=verbose, hyper=hyper, **kw) obj.filename = filename if multiple_files: if isinstance(filename, (list, tuple)): filenames = [] for f in filename: filenames.extend(glob(f)) else: filenames = glob(filename) else: filenames = [filename] filenames = [path(f) for f in filenames] objs = [] if not filenames: raise IOError("Pattern %r did not match any files" % filename) for idx, fname in enumerate(filenames): if verbose: print("\r%-80s\r" % fname.basename(), end="") with io.open(fname, encoding=encoding) as fil: res = obj.do_file(fil) if multiple_files: #res["FILEINDEX"] = DimPartial("FILEINDEX", [idx]) fname = py3.cast_unicode(fname) if "FILENAME" not in res: res["FILENAME"] = hfarray(fname) objs.append(res) if multiple_files: res = obj._merge(objs) else: res = objs if verbose: print("\r%80s\r" % "") return res
def setUp(self): self.db = db = DataBlock() fi = DimSweep("freq", [1e9, 2e9, 3e9, 4e9], unit="Hz") db.y = hfarray([1, 2, 3, 4], dims=(fi, ), unit="V") db.z = hfarray([1, 2, 3, 4 + 0j], dims=(fi, ), unit="Ohm") self.fig = plt.figure(1) self.ax = plt.subplot(111, projection=self.proj) self.lines = plt.plot(self.db.y) self.outpath = p = path(basepath / "savetest") if not p.exists(): # pragma: no cover p.makedirs()
def setUpClass(cls): p = path(testpath / "testdata/hdf5/v02/savetest") if not p.exists(): # pragma: no cover p.makedirs()
def tearDownClass(cls): p = path(testpath / "testdata/hdf5/v02/savetest") p.removedirs()
def tearDownClass(cls): p = path(testpath / "testdata/citi/savetest") p.removedirs()
def setUpClass(cls): p = path(testpath / "testdata/citi/savetest") if not p.exists(): # pragma: no cover p.makedirs()
Figur nummer, None anger aktiv figur. """ if fig is None: fig = pylab.get_current_fig_manager() else: fig = Gcf.figs[fig] wm_geom = fig.window.wm_geometry() (x, y) = map(int, _reg_split_wm_geometry.split(wm_geom))[2:] return x, y def get_figure_positions(): """Hamta position for alla figurer """ return [(i, get_current_figure_position(i)) for i in Gcf.figs.keys()] if __name__ == '__main__': from hftools import path from hftools.file_formats import read_data datapath = (path(hftools.__file__).dirname() / "../data/").normpath() fwd = read_data(datapath / "fwd.s2p") cold = read_data(datapath / "cold.s2p") active = read_data(datapath / "active.s2p") plt.clf() plt.subplot(111, projection="db") plt.plot(fwd.S[..., 0, 0])
#----------------------------------------------------------------------------- # Copyright (c) 2014, HFTools Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- import hftools.file_formats from hftools import path from hftools.testing import TestCase from hftools.file_formats.tests import base_test from hftools.dataset import DataBlock, hfarray, DimSweep from hftools.file_formats.common import Comments testpath = path(__file__).dirname() class TestInitSPdata_1(base_test.Test_1): readfun = [hftools.file_formats.read_data] basepath = testpath dirname = "sp-data" extension = ".txt" readpars = dict(verbose=False) class TestInitSPdata_1b(base_test.Test_1): readfun = [hftools.file_formats.read_data] basepath = testpath dirname = "sp-data" extension = ".txt" filename = "test1b"
def tearDownClass(cls): p = path(basepath / "savetest") for f in p.glob("*"): # pragma: no cover f.unlink() p.removedirs()
import matplotlib.pyplot as plt from matplotlib.ticker import FormatStrFormatter, EngFormatter import hftools import hftools.utils as utils import hftools.testing as testing import hftools.plotting.helper as plthelp from hftools import path from hftools.dataset import hfarray, DataBlock, DimSweep from hftools.testing import TestCase, make_load_tests, expectedFailure #import warnings #warnings.filterwarnings(action='error', category=DeprecationWarning) #utils.reset_hftools_warnings() #load_tests = make_load_tests(utils) basepath = path(__file__).dirname() class Test_db_axes(TestCase): proj = "db" def setUp(self): self.db = db = DataBlock() fi = DimSweep("freq", [1e9, 2e9, 3e9, 4e9], unit="Hz") db.y = hfarray([1, 2, 3, 4], dims=(fi, ), unit="V") db.z = hfarray([1, 2, 3, 4 + 0j], dims=(fi, ), unit="Ohm") self.fig = plt.figure(1) self.ax = plt.subplot(111, projection=self.proj) self.lines = plt.plot(self.db.y) self.outpath = p = path(basepath / "savetest") if not p.exists(): # pragma: no cover
d = hftools.file_formats.merge_blocks(out) else: d = read_single_muwave_matlabdata(filenames[0], drop_empty=drop_empty) order = [d.ivardata[dim] for dim in ["freq", "Index", "Index2"] if dim in d.S.dims] d.S = d.S.reorder_dimensions(*order) if drop_empty: for k in d.vardata.keys(): if np.all("" == d[k]): del d[k] return d if __name__ == "__main__": p = path("ColdSource-muwave") p1 = path("ColdSource-muwave/ColdSource_Vg_m2.mat") p2 = path("ColdSource-muwave/ColdSource_Vg_m2_5.mat") d = read_muwave_matlabdata(p / "*.mat") figure(1) clf() subplot(221, projection="smith") plot(d.S11) subplot(224, projection="smith") plot(d.S22) figure(2) clf() subplot(111, projection="db")
order = [ d.ivardata[dim] for dim in ["freq", "Index", "Index2"] if dim in d.S.dims ] d.S = d.S.reorder_dimensions(*order) if drop_empty: for k in d.vardata.keys(): if np.all("" == d[k]): del d[k] return d if __name__ == "__main__": p = path("ColdSource-muwave") p1 = path("ColdSource-muwave/ColdSource_Vg_m2.mat") p2 = path("ColdSource-muwave/ColdSource_Vg_m2_5.mat") d = read_muwave_matlabdata(p / "*.mat") figure(1) clf() subplot(221, projection="smith") plot(d.S11) subplot(224, projection="smith") plot(d.S22) figure(2) clf() subplot(111, projection="db")
def tearDownClass(cls): p = path(testpath / "testdata/hdf5/v02/savetest") for f in p.glob("*"): # pragma: no cover f.unlink() p.removedirs()
#----------------------------------------------------------------------------- # Copyright (c) 2014, HFTools Development Team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file COPYING.txt, distributed with this software. #----------------------------------------------------------------------------- import hftools.file_formats import hftools.file_formats.tests.base_test as base_test from hftools.file_formats.common import Comments from hftools import path from hftools.testing import TestCase import hftools.file_formats.config as hfconfig import datetime testpath = path(__file__).dirname() datapath = testpath / "testdata/config" class TestLexical(TestCase): def test1(self): cfg = hfconfig.LexicalConfig(datapath / "lexical_1.yaml") self.assertEqual(cfg["VNA"]["gpib"], 16) self.assertEqual(cfg["VNA"]["ifbw"], 100) self.assertEqual(cfg["VNA"]["ifbw"].unit, "Hz") self.assertEqual(cfg["VNA"]["timespan"], datetime.timedelta(0, 72000)) self.assertEqual(cfg["VNA"]["date"], datetime.datetime(2010, 10, 10, 8, 30)) now = datetime.datetime.now() tomorrow = datetime.datetime.now() + datetime.timedelta(1, 0) self.assertEqual(cfg["VNA"]["datelong"],