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import streamlit as st
import pandas as pd
import numpy as np
import time
st.write("Here's our first attempt at using data to create a table:")
# df = pd.DataFrame({
# 'first column': [1, 2, 3, 4],
# 'second column': [10, 20, 30, 40]
# })
# df
# st.write(df)
# dataframe = pd.DataFrame(
# np.random.randn(10, 20),
# columns=('col %d' % i for i in range(20)))
# st.dataframe(dataframe)
# st.dataframe(dataframe.style.highlight_max(axis=0))
# 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)
# st.text_input("Your name", key="name")
# # You can access the value at any point with:
# st.session_state.name
# if st.checkbox('Show dataframe'):
# chart_data = pd.DataFrame(
# np.random.randn(20, 3),
# columns=['a', 'b', 'c'])
# chart_data
# df = pd.DataFrame({
# 'first column': [1, 2, 3, 4],
# 'second column': [10, 20, 30, 40]
# })
# option = st.selectbox(
# 'Which number do you like best?',
# df['first column'])
# 'You selected: ', option
# # Add a selectbox to the sidebar:
# add_selectbox = st.sidebar.selectbox(
# 'How would you like to be contacted?',
# ('Email', 'Home phone', 'Mobile phone')
# )
# # Add a slider to the sidebar:
# add_slider = st.sidebar.slider(
# 'Select a range of values',
# 0.0, 100.0, (25.0, 75.0)
# )
# left_column, right_column = st.columns(2)
# # You can use a column just like st.sidebar:
# left_column.button('Press me!')
# # 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_data
# def long_running_function(param1, param2):
# return … |