I would like to change from the vertical input to column input using streamlit also, columns have to be dynamic

🎈 Using Streamlit
1

Summary

I would like to change the vertical number input to column number input

Steps to reproduce

Code snippet:

import numpy as np
import streamlit as st
st.header('Input Data')
p = np.array([[4,3,6,2],[1,4,3,5],[2,5,2,3],[5,2,4,1],[3,6,1,4]])
st.dataframe(p)
t = []
tb = len(p)
st.subheader('Enter the T value into row for multiplication')
for i in range(tb):
  value = st.number_input(f'row{i}:', min_value=0, max_value=10, step=1)
  t.append(value)
t = np.array(t)
t = np.tile(t, (p.shape[1], 1)).T 
p_mod = np.multiply(p, t)
st.header('Output Data')
st.dataframe(p_mod)

Explain what you expect to happen when you run the code above.
Suppose If I run the above code I would get the number input in vertical order but I would like to have in horizontal order

Debug info

  • Streamlit version: 1.20.0
  • Python version: 3.9
  • Using Conda
  • OS version: WIndows 10

My output for the above program:

output2
output2522×622 9.66 KB

2

Use columns.

3

I tried, but it failed because I used a for loop in my program and had to specify the column size to be dynamic.

4

You can specify the number of columns.

5

but it had to be dynamic for my future work

6

Not sure what you mean by dynamic. If the number of columns changes, then the size of the columns will change too.

7

for the above program

cols = st.columns(len(p)) #len(p) is the column size

suppose if I add the another row in the input data p column size have to be increase automatically.

8

len(p) is the number of columns, not the column size.

If you add a row to p then len(p) will increase and the number of columns will increase too and the column size will decrease to accommodate more columns.