one more time

README.md

@@ -1,11 +1,11 @@
 ---
-title: Example for IS445
+title: In Class Example (Week 11)
 emoji: 🏢
-colorFrom: blue
+colorFrom: green
 colorTo: gray
 sdk: streamlit
-sdk_version: 1.36.0
-app_file: app.py
+sdk_version: 1.39.0
+app_file: inClass_script_week10.py
 pinned: false
 license: mit
 ---

inClass_script_week10.py

@@ -0,0 +1,51 @@
+# we will often times use an app.py instead of a workbook so here is just a placeholder for that kind of file as well!
+import streamlit as st
+
+st.title('This is my fancy app!')
+
+st.header("This is a header")
+st.subheader('This is a subheader')
+
+st.text('This is some text.')
+
+
+# 1. Layout elements
+col1,col2 = st.columns(2)
+col1.write('This is thing 1')
+col2.write('This is thing 2')
+
+# 2. Images
+st.subheader('Images')
+st.image('https://i.redd.it/on-a-scale-of-1-10-how-derpy-is-she-v0-z8gtdwu5n5zb1.jpg?width=3024&format=pjpg&auto=webp&s=345e7e1d5b45f20c733e497a9f746f4cbd3a61da',
+         width=200,
+         caption='A thinly veiled excuse for a cute corg!')
+
+
+import numpy as np
+
+img_data = np.random.random((200,200))
+st.image(img_data, 
+         caption='Random numpy data')
+
+st.header('Altair in Streamlit')
+import altair as alt
+
+mobility_url = 'https://raw.githubusercontent.com/UIUC-iSchool-DataViz/is445_data/main/mobility.csv'
+
+scatters = alt.Chart(mobility_url).mark_point().encode(
+    x = 'Mobility:Q',
+    y=alt.Y('Population:Q', scale=alt.Scale(type='log')),
+    color=alt.Color('Income:Q',
+                    scale=alt.Scale(scheme='sinebow'),
+                    bin=alt.Bin(maxbins=5))
+)
+scatters
+
+st.markdown("""Add in altair charts with layout elements
+ """)
+
+col1,col2 = st.columns([0.7, 0.25])
+col1.altair_chart(scatters, theme='streamlit',
+                  use_container_width=True)
+col2.markdown("Here is some text on the side of the plot.")
+col2.image('https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAXjp6mzNlkMEEiMomUfTEMiX8NHpopoyyXg&s')

requirements.txt

@@ -1,3 +1,5 @@
-streamlit
+streamlit==1.39.0
 altair
-vega_datasets
+numpy
+matplotlib
+pandas