def test_readGamry():
f, Z = readGamry(os.path.join(directory, example_files['gamry']))
f_abort, Z_abort = readGamry(
os.path.join(directory, example_files['gamry_abort']))
assert (f == f_gamry).all() and (Z == Z_gamry).all()
assert (f_abort == f_gamry).all() and (Z_abort == Z_gamry).all()
def file_select(
): #Allows the user to select EIS data to load in the calculator. Exports real and imaginary impedence
filename = filedialog.askopenfilename(filetypes=[("BioLogic or Gamry",
".mpr .DTA")])
if ".mpr" in filename:
mpr_file = BioLogic.MPRfile(filename)
df = pd.DataFrame(mpr_file.data)
freq = df.iloc[:, 0]
real_imp = df.iloc[:, 1]
img_imp = df.iloc[:, 2]
Z = []
for i in range(len(real_imp)):
Z.append(complex(float(real_imp[i]), -1 * float(img_imp[i])))
Z = np.array(Z)
freq = np.array(freq)
if ".DTA" in filename:
freq, Z = preprocessing.readGamry(filename)
return Z, freq
def test_readGamry():
f, Z = readGamry('./data/Chalco-in-buffer-50mV.DTA')
assert (f == f_gamry).all() and (Z == Z_gamry).all()