jthielen

#!/usr/bin/env python

from itertools import product
from multiprocessing import Pool, Process

import numpy as np
import xarray as xr
import metpy.calc as mpcalc

from datetime import datetime

jthielen

============================= test session starts ==============================
platform linux -- Python 3.7.3, pytest-4.6.2, py-1.8.0, pluggy-0.12.0
Matplotlib: 3.0.2
Freetype: 2.6.1
Dependencies: Matplotlib (3.0.2), NumPy (1.17.0), Pandas (0.24.2), Pint (0.10.dev0), SciPy (1.3.0), Xarray (0.14.0+5.g408807c6)
rootdir: /home/jon/dev/MetPy, inifile: setup.cfg
plugins: flake8-1.0.4, cov-2.7.1, mpl-0.10
collected 123 items

tests/calc/test_thermo.py ..............FF............FFFFFFFFFFFFF..... [ 37%]

jthielen

class StringPreprocessor(object):
    """Constructor for a extensible unit expression string preprocessor."""

    # List of default replacement pairs
    _default_replacements = [(",", ""),
                             (" per ", "/"),
                             ("^", "**")]

    # List of default regex substitution pairs.
    _default_subs_re = [('\N{DEGREE SIGN}', " degree"),

jthielen

diff --git a/metpy_constants_pint_0_9.txt b/metpy_constants_pint_0_10.txt
index e9af145..0558c33 100644
--- a/metpy_constants_pint_0_9.txt
+++ b/metpy_constants_pint_0_10.txt
@@ -11,10 +11,10 @@ earth_avg_radius
 6371200.0 meter
 
 G
-6.673840000000001e-11 meter ** 3 / kilogram / second ** 2
+6.6743e-11 meter ** 3 / kilogram / second ** 2

jthielen

============================= test session starts ==============================
platform linux -- Python 3.7.3, pytest-4.6.2, py-1.8.0, pluggy-0.12.0
Matplotlib: 3.0.2
Freetype: 2.6.1
Dependencies: Matplotlib (3.0.2), NumPy (1.16.4), Pint (0.10.dev0), SciPy (1.3.0)
rootdir: /home/jon/dev/MetPy, inifile: setup.cfg
plugins: flake8-1.0.4, cov-2.7.1, mpl-0.10
collected 878 items

metpy/calc/tests/test_basic.py ............................FF.F.....F... [  4%]

jthielen

from wrf import getvar
from netCDF4 import Dataset
import xarray as xr
import pyproj

# Extract the variables of interest at time index 17
ds = Dataset('../wrfout_d02_2015-07-12_1200.nc')
variables = [getvar(ds, var, 17) for var in ('z', 'dbz', 'pressure', 'ter', 'ua',
                                             'va', 'wa', 'temp', 'rh')]
data = xr.merge(variables)

jthielen

import numpy as np
import pyproj
import xarray as xr

# Generate LCC Grid
def generate_lcc_grid(nx = 532, ny = 532, dx = 3000., dy = 3000.,
                      central_latitude = 39.05, central_longitude = -95.68,
                      standard_parallels = 39.05,
                      globe_kwargs = {'a': 6370000, 'b': 6370000}):
    # Inputs default to Squiteri and Gallus (2016) WRF grid