def test_celcius_to_kelvin():
assert_equal(sc.C2K([0, 0]), [273.15, 273.15])
def test_celsius_to_kelvin():
with suppress_warnings() as sup:
sup.filter(DeprecationWarning, "`C2K` is deprecated!")
assert_equal(sc.C2K([0, 0]), [273.15, 273.15])
def test_celcius_to_kelvin():
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
assert_equal(sc.C2K([0, 0]), [273.15, 273.15])
from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
from scipy import constants
from scipy.optimize import curve_fit
from scipy.integrate import quad, trapz
from textable import table
from uncertainties import ufloat
from uncertainties import unumpy as unp
from uncertainties.unumpy import exp
T1, I1 = np.genfromtxt('set1.txt', unpack=True)
T2, I2 = np.genfromtxt('set2.txt', unpack=True)
T1 = constants.C2K(T1)
T2 = constants.C2K(T2)
I1_cleaned, I2_cleaned = [], []
min1, max1 = 260, 285
min2, max2 = 250, 267
Ws = {'integrated': {}, 'approx': {}}
plotdir = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'../build/plots/')
texdir = os.path.join(plotdir, '../tex/')
# clear data
def linear_fit(T, A, B):
