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import streamlit as st
st.set_page_config(layout="wide")
import numpy as np
import pandas as pd
import time
from fuzzywuzzy import process
def load_file(upload):
if upload is not None:
try:
if upload.name.endswith('.csv'):
df = pd.read_csv(upload)
elif upload.name.endswith(('.xls', '.xlsx')):
df = pd.read_excel(upload)
else:
st.error('Please upload either a CSV or Excel file')
return None
export_df = df.copy()
return export_df, df
except Exception as e:
st.error(f'Error loading file: {str(e)}')
return None
return None
tab1, tab2 = st.tabs(["Data Load", "Manage Portfolio"])
with tab1:
if st.button('Clear data', key='reset1'):
st.session_state.clear()
st.subheader("Projections File")
st.info("upload a projections file that has Data oriented in the following format:")
# Create two columns for the uploader and template button
upload_col, template_col = st.columns([3, 1])
with upload_col:
projections_file = st.file_uploader("Upload Projections File (CSV or Excel)", type=['csv', 'xlsx', 'xls'])
with template_col:
# Create empty DataFrame with required columns
template_df = pd.DataFrame(columns=['player_names', 'position', 'team', 'salary', 'median', 'ownership', 'captain ownership'])
# Add download button for template
st.download_button(
label="Template",
data=template_df.to_csv(index=False),
file_name="projections_template.csv",
mime="text/csv"
)
if projections_file:
export_projections, projections = load_file(projections_file)
if projections is not None:
st.success('Projections file loaded successfully!')
st.dataframe(projections)
with tab2:
if st.button('Clear data', key='reset2'):
st.session_state.clear() |