File size: 1,334 Bytes
7852820 ba217a9 7852820 ba217a9 90a4822 ba217a9 9d66c9c ba217a9 9d66c9c 7852820 cb4a863 cee1912 7852820 |
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 |
import streamlit as st
import numpy as np
import pandas as pd
import time
from fuzzywuzzy import process
import re
def load_dk_fd_file(lineups, csv_file):
df = csv_file.copy()
try:
name_dict = dict(zip(df['Name + ID'], df['Name']))
except:
name_dict = dict(zip(df['Id'], df['Nickname']))
# Now load and process the lineups file
try:
clean_name = re.sub(r' \(\d+\)', '', lineups.name)
print(clean_name)
print(lineups.name)
if clean_name.endswith('.csv'):
lineups_df = pd.read_csv(lineups)
elif clean_name.endswith(('.xls', '.xlsx')):
lineups_df = pd.read_excel(lineups)
else:
st.error('Please upload either a CSV or Excel file for lineups')
return None, None
print(lineups_df)
try:
lineups_df = lineups_df.drop(columns=['Entry ID', 'Contest Name', 'Contest ID', 'Entry Fee'])
except:
pass
export_df = lineups_df.copy()
# Map the IDs to names
for col in lineups_df.columns:
lineups_df[col] = lineups_df[col].map(name_dict)
return export_df, lineups_df
except Exception as e:
st.error(f'Error loading lineups file: {str(e)}')
return None, None |