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Upload app.py

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  1. app.py +36 -0
app.py ADDED
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+ import streamlit as st
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+ import pandas as pd
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+ import numpy as np
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+
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+ st.title('Uber pickups in NYC')
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+
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+ DATE_COLUMN = 'date/time'
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+ DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
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+ 'streamlit-demo-data/uber-raw-data-sep14.csv.gz')
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+
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+ @st.cache
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+ def load_data(nrows):
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+ data = pd.read_csv(DATA_URL, nrows=nrows)
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+ lowercase = lambda x: str(x).lower()
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+ data.rename(lowercase, axis='columns', inplace=True)
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+ data[DATE_COLUMN] = pd.to_datetime(data[DATE_COLUMN])
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+ return data
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+
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+ data_load_state = st.text('Loading data...')
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+ data = load_data(10000)
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+ data_load_state.text("Done! (using st.cache)")
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+
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+ if st.checkbox('Show raw data'):
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+ st.subheader('Raw data')
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+ st.write(data)
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+
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+ st.subheader('Number of pickups by hour')
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+ hist_values = np.histogram(data[DATE_COLUMN].dt.hour, bins=24, range=(0,24))[0]
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+ st.bar_chart(hist_values)
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+
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+ # Some number in the range 0-23
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+ hour_to_filter = st.slider('hour', 0, 23, 17)
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+ filtered_data = data[data[DATE_COLUMN].dt.hour == hour_to_filter]
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+
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+ st.subheader('Map of all pickups at %s:00' % hour_to_filter)
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+ st.map(filtered_data)