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import streamlit as st | |
st.set_option('deprecation.showPyplotGlobalUse', False) | |
#st.markdown() | |
st.title("Document Title") | |
st.header("Article header") | |
st.subheader("Article subheader") | |
st.code("y = mx + c") | |
st.latex("\ int a y^2 \ , dy") | |
st.text("This is a chair!") | |
st.markdown('Staying hydrated is **_very_ cool**.') | |
students = ["Amelia Kami", "Antoinne Mark", "Peter Zen", "North Kim"] | |
marks = [82, 76, 96, 68] | |
import pandas as pd | |
df = pd.DataFrame() | |
df["Student Name"] = students | |
df["Marks"] = marks | |
#save to dataframe | |
df.to_csv("students.csv", index = False) | |
#display | |
st.dataframe(df) | |
#Static table | |
st.table(df) | |
#Metrics | |
st.metric("KPI", 56, 3) | |
#Json | |
st.json(df.to_dict()) | |
#Code | |
#average of a list | |
code = '''def cal_average(numbers): | |
sum_number = 0 | |
for t in numbers: | |
sum_number = sum_number + t | |
average = sum_number / len(numbers) | |
return average''' | |
st.code(code, language='python') | |
#progress bar | |
import streamlit as st | |
import time | |
# Sample Progress bar | |
#bar_p = st.progress(0) | |
#for percentage_complete in range(100): | |
#time.sleep(0.1) | |
#bar_p.progress(percentage_complete + 1) | |
#with st.spinner('Please wait...'): | |
#time.sleep(5) | |
#st.write('Complete!') | |