Create data frame, add drop down option for each row and then allow user to add new rows

🎈 Using Streamlit
1

Instead of uploading a csv file, i want to create one form which will be converted into dataframe… i want that form to have drop down list for each row. once the user fills the information by using the drop down list, he should be able to add new row… I tried multiple ways but its not working… the closest I got is as below…

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when i’m clicking on add row, the app is refreshing and the earlier updated field is being removed…

I tried session state also but i’m getting errors.
Bellow is my code with session option

import streamlit as st

import pandas as pd

# Define column names for the empty dataframe

columns = [‘Person_name’, ‘Location’, ‘AAAA’, ‘BBBB’, ‘CCCC’, ‘DDDD’, ‘EEEE’, ‘FFFF’]

# Create an empty dataframe with the defined columns

empty_df = pd.DataFrame(columns=columns)

# Define a list of people to choose from

people = [‘John’, ‘Mary’, ‘Jane’, ‘Mark’, ‘Lucy’]

# Create an empty session state variable

session_state = st.session_state

# Check if the session state variable is already defined

if ‘df’ not in session_state:

# Assign the initial data to the session state variable

session_state.df = empty_df

session_state.row = pd.Series(index=columns)

# Create a selectbox for each column in the current row

for col in columns:

# Get unique values from the corresponding column in the resource_data dataframe

if col == ‘Person_name’:

values = people

else:

values = [‘Y’, ‘N’]

# Create a selectbox for the current column and add the selected value to the current row

session_state.row[col] = st.selectbox(col, values, key=col, index=values.index(session_state.row[col]))

# Add a button to add a new empty row to the dataframe and clear the values of the selectboxes for the current row

if st.button(‘Add Row’):

session_state.df = session_state.df.append(session_state.row, ignore_index=True)

session_state.row = pd.Series(index=columns)

# Display the resulting dataframe

st.dataframe(session_state.df)

Please somebody help me out

2

Hello @Ri_yaz, welcome to the forum!

When you post a code snippet, please post it as a code block, not as plain text – otherwise it’s very difficult to actually use the code and try to debug it. See this post for more: Using Streamlit: how to post a question in the Streamlit forum

If I correctly interpreted your code, the only issue was that setting the index of the selectbox was failing because the row wasn’t populated yet. I made a small tweak to default to 0 for the index, and it seems to work.

import pandas as pd
import streamlit as st

# Define column names for the empty dataframe
columns = ["Person_name", "Location", "AAAA", "BBBB", "CCCC", "DDDD", "EEEE", "FFFF"]
# Create an empty dataframe with the defined columns
empty_df = pd.DataFrame(columns=columns)
# Define a list of people to choose from
people = ["John", "Mary", "Jane", "Mark", "Lucy"]
# Create an empty session state variable
session_state = st.session_state
# Check if the session state variable is already defined
if "df" not in session_state:
    # Assign the initial data to the session state variable
    session_state.df = empty_df
    session_state.row = pd.Series(index=columns)

# Create a selectbox for each column in the current row
for col in columns:
    # Get unique values from the corresponding column in the resource_data dataframe
    if col == "Person_name":
        values = people
    else:
        values = ["Y", "N"]
    # Create a selectbox for the current column and add the selected value to the current row
    index = values.index(session_state.row[col]) if session_state.row[col] in values else 0

    session_state.row[col] = st.selectbox(col, values, key=col, index=index)

# Add a button to add a new empty row to the dataframe and clear the values of the selectboxes for the current row
if st.button("Add Row"):
    session_state.df = session_state.df.append(session_state.row, ignore_index=True)
    session_state.row = pd.Series(index=columns)

# Display the resulting dataframe
st.dataframe(session_state.df)
1 Like
3

Thank you very much. working perfectly fine…