└── main.py


/main.py:
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 1 | import streamlit as st
 2 | import pandas as pd
 3 | import matplotlib.pyplot as plt
 4 | import numpy as np
 5 | 
 6 | df = pd.DataFrame({'x': [10, 20, 30, 40],
 7 |                    'y': [100, 200, 300, 400],
 8 |                    'name': ['alpha', 'beta', 'gamma', 'delta']})
 9 | 
10 | x_max = st.slider('Max value of x', float(df['x'].max()))
11 | st.title("My streamlit app")
12 | st.markdown("""
13 | Let's look at this fine dataframe
14 | """)
15 | 
16 | df[df['x'] <= x_max]
17 | 
18 | st.markdown(
19 |     """## Now let's draw something"""
20 | )
21 | a = st.slider('Amplitude', 0., 10.)
22 | b = st.slider('Frequency', 0., 10.)
23 | x = np.linspace(0, 10, 500)
24 | fig = plt.figure()
25 | plt.plot(x, a * np.sin(x * b))
26 | plt.ylim(-5, 5)
27 | st.pyplot(fig)
28 | uploaded_file = st.file_uploader("Upload some file")
29 | if uploaded_file is not None:
30 |     for i, line in enumerate(
31 |             uploaded_file.getvalue().decode('utf-8').splitlines()):
32 |         st.text(f"{i}. {line}".rstrip())
33 | 


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