File size: 1,015 Bytes
78d8b1c
 
 
0877dd8
78d8b1c
 
701aa67
0877dd8
78d8b1c
70a82e3
78d8b1c
 
701aa67
0877dd8
78d8b1c
 
8610172
0877dd8
78d8b1c
0877dd8
78d8b1c
 
 
 
0877dd8
78d8b1c
 
 
 
435b024
0877dd8
78d8b1c
 
 
 
0877dd8
78d8b1c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
import streamlit as st
from repo_directory import Tyre_Degradation
from repo_directory import button

YEAR_SELECTED = st.selectbox(
    'Select year',
    (2023, 2022, 2021, 2020, 2019, 2018))

colors_df = Tyre_Degradation.get_colors(YEAR_SELECTED)

RACE_SELECTED = st.selectbox(
    'Select Race',
    (1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23))

SESSION = st.selectbox(
    'Select Session',
    ('R', 'SQ', 'FP1', 'FP2', 'FP3', 'Q'))

laps, f1session, all_driver_compound, all_compounds_used, all_team_compound = Tyre_Degradation.get_laps(YEAR_SELECTED, RACE_SELECTED, SESSION)

DRIVERS_SELECTED = st.multiselect(
    'Select Driver and Tyre',
     all_driver_compound,
    )

TEAMS_SELECTED = st.multiselect(
    'Select Team and Tyre',
     all_team_compound,
    )


compounds_used = st.multiselect(
    'Select Tyres',
     all_compounds_used,
    all_compounds_used)

Tyre_Degradation.plot(DRIVERS_SELECTED,compounds_used, f1session, laps, colors_df, TEAMS_SELECTED)