File size: 898 Bytes
d4bd3c8
 
 
0877dd8
d4bd3c8
 
 
0877dd8
d4bd3c8
70a82e3
d4bd3c8
 
 
0877dd8
d4bd3c8
 
 
0877dd8
d4bd3c8
0877dd8
d4bd3c8
 
 
 
0877dd8
 
d4bd3c8
 
 
 
0877dd8
d4bd3c8
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
# import streamlit as st
# from repo_directory import Tyre_Degradation
# from repo_directory import button

# YEAR_SELECTED = st.selectbox(
#     'Select year',
#     (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))

# SESSION = st.selectbox(
#     'Select Session',
#     ('R', 'SQ'))

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

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


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

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