import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import timest.write("## Here's our first attempt at using data to create a table:")
st.write(pd.DataFrame({
'first column': [1, 2, 3, 4],
'second column': [10, 20, 30, 40]
}))st.dataframe(dataframe)
st.table(dataframe)
chart_data = pd.DataFrame(
np.random.randn(20, 3),
columns=['a', 'b', 'c'])
st.line_chart(chart_data)
map_data = pd.DataFrame(
np.random.randn(1000, 2) / [50, 50] + [37.76, -122.4],
columns=['lat', 'lon'])
st.map(map_data)x = st.slider('x') # 👈 this is a widget
st.write(x, 'squared is', x * x)
x = st.button('x') # 👈 this is a widget
x = st.checkbox('x') # 👈 this is a widget
st.text_input("Your name", key="name")
# You can access the value at any point with:
st.write(f'The name is {st.session_state.name}')if st.checkbox('Show dataframe'):
chart_data = pd.DataFrame(
np.random.randn(20, 3),
columns=['a', 'b', 'c'])
st.write(chart_data)left_column, right_column = st.columns(2)
# You can use a column just like st.sidebar:
left_column.button('Press me!')
with left_column:
fig, ax = plt.subplots()
ax.plot([1, 2, 3], [1, 10, 5])
st.pyplot(fig)
# Or even better, call Streamlit functions inside a "with" block:
with right_column:
chosen = st.radio(
'Sorting hat',
("Gryffindor", "Ravenclaw", "Hufflepuff", "Slytherin"))
st.write(f"You are in {chosen} house!")'Starting a long computation...'
# Add a placeholder
latest_iteration = st.empty()
bar = st.progress(0)
for i in range(100):
# Update the progress bar with each iteration.
latest_iteration.text(f'Iteration {i + 1}')
bar.progress(i + 1)
time.sleep(0.1)
'...and now we\'re done!'@st.cache
def slow_func():
# Add a placeholder
latest_iteration = st.empty()
bar = st.progress(0)
for i in range(100):
# Update the progress bar with each iteration.
latest_iteration.text(f'Iteration {i + 1}')
bar.progress(i + 1)
time.sleep(0.1)Add folder pages.
Insert there more .py files.
Done.