How to convert data from wide to long so values are plotted against time-CodePudding

I have a time series data set of multiple IDs and multiple variables, each variable has 3 time series entries - "baseline", "3 month", "6 month". The dataframe is structured like this, df =

import pandas as pd

data = {'Patient ID': [11111, 11111, 11111, 11111, 22222, 22222, 22222, 22222, 33333, 33333, 33333, 33333, 44444, 44444, 44444, 44444, 55555, 55555, 55555, 55555],
        'Lab Attribute': ['% Saturation- Iron', 'ALK PHOS', 'ALT(SGPT)', 'AST (SGOT)', '% Saturation- Iron', 'ALK PHOS', 'ALT(SGPT)', 'AST (SGOT)', '% Saturation- Iron', 'ALK PHOS', 'ALT(SGPT)', 'AST (SGOT)', '% Saturation- Iron', 'ALK PHOS', 'ALT(SGPT)', 'AST (SGOT)', '% Saturation- Iron', 'ALK PHOS', 'ALT(SGPT)', 'AST (SGOT)'],
        'Baseline': [46.0, 94.0, 21.0, 18.0, 46.0, 94.0, 21.0, 18.0, 46.0, 94.0, 21.0, 18.0, 46.0, 94.0, 21.0, 18.0, 46.0, 94.0, 21.0, 18.0],
        '3 Month': [23.0, 82.0, 13.0, 17.0, 23.0, 82.0, 13.0, 17.0, 23.0, 82.0, 13.0, 17.0, 23.0, 82.0, 13.0, 17.0, 23.0, 82.0, 13.0, 17.0],
        '6 Month': [34.0, 65.0, 10.0, 14.0, 34.0, 65.0, 10.0, 14.0, 34.0, 65.0, 10.0, 14.0, 34.0, 65.0, 10.0, 14.0, 34.0, 65.0, 10.0, 14.0]}
df = pd.DataFrame(data)

    Patient ID       Lab Attribute  Baseline  3 Month  6 Month
0        11111  % Saturation- Iron      46.0     23.0     34.0
1        11111            ALK PHOS      94.0     82.0     65.0
2        11111           ALT(SGPT)      21.0     13.0     10.0
3        11111          AST (SGOT)      18.0     17.0     14.0
4        22222  % Saturation- Iron      46.0     23.0     34.0
5        22222            ALK PHOS      94.0     82.0     65.0
6        22222           ALT(SGPT)      21.0     13.0     10.0
7        22222          AST (SGOT)      18.0     17.0     14.0
8        33333  % Saturation- Iron      46.0     23.0     34.0
9        33333            ALK PHOS      94.0     82.0     65.0
10       33333           ALT(SGPT)      21.0     13.0     10.0
11       33333          AST (SGOT)      18.0     17.0     14.0
12       44444  % Saturation- Iron      46.0     23.0     34.0
13       44444            ALK PHOS      94.0     82.0     65.0
14       44444           ALT(SGPT)      21.0     13.0     10.0
15       44444          AST (SGOT)      18.0     17.0     14.0
16       55555  % Saturation- Iron      46.0     23.0     34.0
17       55555            ALK PHOS      94.0     82.0     65.0
18       55555           ALT(SGPT)      21.0     13.0     10.0
19       55555          AST (SGOT)      18.0     17.0     14.0

What I'm trying to do is group by the ID and Lab Attribute and create a plot of each "Lab Attribute" - % Saturation- Iron, ALK PHOS, etc., that will include the time series for all of the Patient IDs.

So based on the example data there would be 4 plots - % Saturation- Iron, ALK PHOS, etc., that each would contain 5 traces (1 for each ID).

I tried using groupby per this article -