import streamlit as st

import matplotlib.pyplot as plt

import numpy as np

import pandas as pd

def f1(t):

return np.exp(-t) * np.cos(2*np.pi*t)

def f2(t):

return np.cos(2*np.pi*t)

t = np.arange(0.0, 5.0, 0.1)

def table():

st.header('Tables')

c1, c2 = st.columns(2)

c1.write(pd.DataFrame([x for x in zip(t,f1(t))]))

c2.write(pd.DataFrame([x for x in zip(t,f2(t))]))

def plot():

plt.figure()

plt.subplot(2, 1, 1) # nrows, ncols, index

plt.plot(t, f1(t), 'bo', t, f1(t), 'k')

plt.subplot(212)

plt.plot(t, f2(t), 'r--')

st.header('Charts')

st.pyplot(plt)

st.title('Data Explorer')

st.sidebar.header('Settings')

actions = {'Tabulate': table, 'Plot': plot}

choices = st.sidebar.multiselect('Choose task:', ['Tabulate', 'Plot'])

for choice in choices:

result = actions[choice]()