basic functionality to pull data uising requests and make a chart using Dash and plotly

1 files changed, 42 insertions, 0 deletions

diff --git a/app.py b/app.py
new file mode 100644
index 0000000..a2e9f07
--- /dev/null
+++ b/app.py
@@ -0,0 +1,42 @@
+from dash import Dash, dcc, html, Input, Output
+import plotly.graph_objects as go
+import json
+import datetime
+
+app = Dash(__name__)
+
+
+app.layout = html.Div([
+    html.H4('Interactive color selection with simple Dash example'),
+    html.P("Select color:"),
+    dcc.Dropdown(
+        id="dropdown",
+        options=['Gold', 'MediumTurquoise', 'LightGreen'],
+        value='Gold',
+        clearable=False,
+    ),
+    dcc.Graph(id="graph"),
+])
+
+# pull stock data from json files
+timestamps_file = open('timestamps.json', 'r')
+timestamps_file_data = timestamps_file.read()
+timestamps = json.loads(timestamps_file_data)
+timestamps = [datetime.datetime.fromtimestamp(t) for t in timestamps]
+
+prices_file = open('close_prices.json', 'r')
+prices = json.loads(prices_file.read())
+
+# print('timestamps:\t', timestamps, '\nprices:\t', prices)
+
+
+@app.callback(
+    Output("graph", "figure"),
+    Input("dropdown", "value"))
+def display_color(color):
+    fig = go.Figure(
+        data=go.Line(x=timestamps, y=prices, marker_color=color))
+    return fig
+
+
+app.run(debug=True)
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