#!/usr/bin/env python
# coding: utf-8

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title = "Stock Time Series"


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import datetime

import numpy as np
import pandas as pd
import pandas_datareader.data as web

import plotly.graph_objects as go


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start = datetime.datetime(2015, 1, 1)
end = datetime.datetime(2019, 12, 1)


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df_1 = web.DataReader("AAPL", "yahoo", start, end).reset_index()
df_2 = web.DataReader("MSFT", "yahoo", start, end).reset_index()
df_3 = web.DataReader("AMZN", "yahoo", start, end).reset_index()


# ### Apple

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margin = go.layout.Margin(l=20, r=20, b=20, t=30)


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fig = go.Figure([go.Scatter(x=df_1['Date'], y=df_1['Close'])])
fig.update_layout(margin=margin)
fig


# ### Microsoft

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fig = go.Figure([go.Scatter(x=df_2['Date'], y=df_2['Close'])])
fig.update_layout(margin=margin)
fig


# ### Amazon

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fig = go.Figure([go.Scatter(x=df_3['Date'], y=df_3['Close'])])
fig.update_layout(margin=margin)
fig


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