Update app.py

app.py

@@ -8,6 +8,7 @@ DATE_COLUMN = 'date/time'
 DATA_URL = ('https://s3-us-west-2.amazonaws.com/'
          'streamlit-demo-data/uber-raw-data-sep14.csv.gz')
 
+@st.cache_data
 def load_data(nrows):
     data = pd.read_csv(DATA_URL, nrows=nrows)
     lowercase = lambda x: str(x).lower()
@@ -20,4 +21,14 @@ data_load_state = st.text('Loading data...')
 # Load 10,000 rows of data into the dataframe.
 data = load_data(10000)
 # Notify the reader that the data was successfully loaded.
-data_load_state.text('Loading data...done!')
+data_load_state.text('Loading data...done!')
+data_load_state.text("Done! (using st.cache_data)")
+
+st.subheader('Raw data')
+st.write(data)
+
+st.subheader('Number of pickups by hour')
+
+hist_values = np.histogram(
+    data[DATE_COLUMN].dt.hour, bins=24, range=(0,24))[0]
+st.bar_chart(hist_values)