import pandas as pd
from bokeh.charts import TimeSeries, output_notebook, show

# Get data

# Process data

# Output option

# Create timeseries chart

# Show chart

"""
Explanation: <img src=images/continuum_analytics_b&w.png align="left" width="15%" style="margin-right:15%">
<h1 align='center'>Bokeh Tutorial</h1>

1.1 Charts - Timeseries
Exercise: Visualize the evolution of the temperature anomaly monthly average over time with a timeseries chart

Data: 'data/Land_Ocean_Monthly_Anomaly_Average.csv'

Tips:
import pandas as pd
pd.read_csv()
pd.to_datetime()
End of explanation
"""


# Style your timeseries chart 

# Show new chart

"""
Explanation: Exercise: Style your plot
Ideas:

Add a title
Add axis labels
Change width and height
Deactivate toolbox or customize available tools
Change line color

Charts arguments can be found: http://bokeh.pydata.org/en/latest/docs/user_guide/charts.html#generic-arguments
End of explanation
"""


# Compute moving average

# Create chart with moving average

# Show chart with moving average

"""
Explanation: Exercise: Add the moving annual average to your chart
Tips:
pd.rolling_mean()
End of explanation
"""


