File size: 1,206 Bytes
40ad473
 
 
 
7a93088
 
40ad473
7a93088
232ffeb
40ad473
 
 
 
 
 
 
232ffeb
 
 
40ad473
 
232ffeb
 
40ad473
 
 
 
 
 
 
 
 
 
 
232ffeb
40ad473
 
 
 
 
 
 
 
 
 
 
 
 
 
 
232ffeb
5d98e02
 
232ffeb
40ad473
232ffeb
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
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
# import streamlit as st
# from repo_directory import Lap_Chart
# from repo_directory import button
# import pandas as pd


# Lap_Chart.get_latest_ergast()


# # select year
# race_names_df = pd.read_csv("ergast/races.csv")
# available_years = race_names_df.year.unique().tolist()
# available_years.sort(reverse=True)
# YEAR_SELECTED = st.selectbox(
#     'Select year',
#     available_years)



# # select race
# available_races = race_names_df[race_names_df.year == YEAR_SELECTED].name.tolist()


# RACE_SELECTED = st.selectbox(
#     'Select Race',
#     available_races)

# SELECTED_RACEID = race_names_df[
#     (race_names_df.year == YEAR_SELECTED) & (race_names_df.name == RACE_SELECTED)
# ].raceId.values[0]


# Lap_Chart.plot(SELECTED_RACEID, )


import streamlit as st
from repo_directory.v2 import Lap_Chart
from repo_directory import button
from repo_directory.v2 import utils

import pandas as pd


YEAR_SELECTED = st.selectbox(
    'Select Year',
    utils.get_years())

RACE_SELECTED =  st.selectbox(
    'Select Race',
    utils.get_events(YEAR_SELECTED))


SESSION_SELECTED = st.selectbox('Select Session', ('R','SR'))

_ = Lap_Chart.plot(YEAR_SELECTED, RACE_SELECTED, SESSION_SELECTED)