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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 <img src=images/continuum_analytics_b&w.png align="left" width="15%" style="margin-right
Step1:  Exercise
Step2:  Exercise
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Python Code:
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()
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# 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
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