Create app.py

app.py

@@ -0,0 +1,37 @@
+import streamlit as st
+import pandas as pd
+import numpy as np
+from datetime import datetime, timedelta
+from io import StringIO
+
+st.title('Cumulative Trend')
+
+uploaded_file = st.file_uploader("Choose a csv file including 'date' column.")
+
+if uploaded_file is not None:
+    df = pd.read_csv(uploaded_file, sep=",", usecols=["date"])
+    df = df.dropna(axis=0)
+
+    date_list = pd.to_datetime(df.squeeze()).dt.date.tolist()
+    date_list.sort()
+    start_date = date_list[0]
+    end_date = date_list[-1]
+    day_count = (end_date - start_date).days + 1
+    x = np.arange(start_date, end_date + timedelta(days=1), timedelta(days=1)).astype(datetime)
+    y = np.zeros(day_count)
+    for d in date_list:
+      y[(d - start_date).days] += 1
+
+    y_count = np.cumsum(y)
+    df = pd.DataFrame({'date': x, 'count': y_count})
+    
+    st.area_chart(df.set_index('date'))
+
+    col1, col2 = st.columns(2)
+    col1.metric("rows", len(date_list))
+    col2.metric("days", day_count)
+
+    col3, col4 = st.columns(2)
+    col3.metric("start", str(start_date))
+    col4.metric("end", str(end_date))
+