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import streamlit as st |
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import pandas as pd |
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st.title('AppMap') |
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st.markdown('This is a simple app to help you visualize your app\'s data.') |
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st.markdown('**Note:** This app is still in development. Please report any bugs or suggestions to [@napoles3D](https://twitter.com/napoles3D)') |
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filepath = 'https://raw.githubusercontent.com/napoles-uach/Pycon_cl_taller/main/meteorite-landings.csv' |
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@st.cache |
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def read_csv(file_path): |
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df = pd.read_csv(file_path) |
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return df |
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df = read_csv(filepath) |
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st.button('test') |
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df=df[(df['mass']>0 )] |
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df=df[abs(df['lat'])>0] |
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year_min=int(df['year'].min()) |
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year_max=int(df['year'].max()) |
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cols=list(df.columns) |
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col1,col2,col3 = st.columns([5,1,5]) |
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with col1.expander('widgets'): |
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year_range = st.slider('year range',year_min,year_max,[1800,1900],step=10) |
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vals=st.multiselect('',cols) |
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df1=df[(df['year']>=year_range[0] ) & (df['year']<=year_range[1] )] |
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df2=df1[vals] |
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with col1.expander('data'): |
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st.dataframe(df2) |
