I have a data in csv as show below
Batch,Job,Date,RunTime
Startofday,Job1,2021-10-01,20
Startofday,Job1,2021-10-02,22
Startofday,Job1,2021-10-03,19
Startofday,Job2,2021-10-01,20
Startofday,Job2,2021-10-02,30
Startofday,Job3,2021-10-01,20
Startofday,Job3,2021-10-02,50
Startofday,Job4,2021-10-01,60
Startofday,Job4,2021-10-02,20
Multiselect option enabled for column Date, based on the selection I need to display multiple data frame grouped by date & chart to the display.
import streamlit as st
import pandas as pd
st.date_input("Input Date")
df = pd.read_csv('JobTimes.csv')
unique_jobs = df['Date'].unique().tolist()
job_list = st.multiselect("Date",unique_jobs,default=unique_jobs)
mask = (df['Date'].isin(job_list))
selected_df = df[mask]
selected_unique_jobs = selected_df['Date'].unique().tolist()
st.title('JobGrouping')
st.write('Total selected columns : ',len(selected_unique_jobs))
cols = st.columns(len(selected_unique_jobs))
new = 0
for job in selected_unique_jobs:
mask1 = (df['Date'] == job)
cols[new].subheader('Selected date ::' + job)
cols[new].dataframe(df[mask1])
new += 1
Please help & provide light on the approach.