def get_table(results, letter):
y = "Δ{}".format(letter)
df = Table(
RecursiveDict([("δ", results[0]), (y, results[1]),
(y + "ₑᵣᵣ", results[2])]))
x0, x1 = map(float, df["δ"].iloc[[0, -1]])
pad = 0.15 * (x1 - x0)
mask = (results[3] > x0 - pad) & (results[3] < x1 + pad)
x, fit = results[3][mask], results[4][mask]
df.set_index("δ", inplace=True)
df2 = pd.DataFrame(RecursiveDict([("δ", x), (y + " Fit", fit)]))
df2.set_index("δ", inplace=True)
cols = ["δ", y, y + "ₑᵣᵣ", y + " Fit"]
return (pd.concat([df, df2],
sort=True).sort_index().reset_index().rename(columns={
"index": "δ"
}).fillna("")[cols])
def get_table(results, letter):
y = 'Δ{}'.format(letter)
df = Table(RecursiveDict([
('δ', results[0]), (y, results[1]), (y+'ₑᵣᵣ', results[2])
]))
x0, x1 = map(float, df['δ'].iloc[[0,-1]])
pad = 0.15 * (x1 - x0)
mask = (results[3] > x0 - pad) & (results[3] < x1 + pad)
x, fit = results[3][mask], results[4][mask]
df.set_index('δ', inplace=True)
df2 = pd.DataFrame(RecursiveDict([
('δ', x), (y+' Fit', fit)
]))
df2.set_index('δ', inplace=True)
cols = ['δ', y, y+'ₑᵣᵣ', y+' Fit']
return pd.concat([df, df2], sort=True).sort_index().reset_index().rename(
columns={'index': 'δ'}).fillna('')[cols]
def get_table(results, letter):
y = 'Δ{}'.format(letter)
df = Table(
RecursiveDict([('δ', results[0]), (y, results[1]),
(y + 'ₑᵣᵣ', results[2])]))
x0, x1 = map(float, df['δ'].iloc[[0, -1]])
pad = 0.15 * (x1 - x0)
mask = (results[3] > x0 - pad) & (results[3] < x1 + pad)
x, fit = results[3][mask], results[4][mask]
df.set_index('δ', inplace=True)
df2 = pd.DataFrame(RecursiveDict([('δ', x), (y + ' Fit', fit)]))
df2.set_index('δ', inplace=True)
cols = ['δ', y, y + 'ₑᵣᵣ', y + ' Fit']
return pd.concat([df, df2],
sort=True).sort_index().reset_index().rename(columns={
'index': 'δ'
}).fillna('')[cols]