Want to show a rolling average to your data? Using the Sisense for Cloud Data Teams Python / R integration, we can accomplish this with a single line of Python code.
Here are the first few rows of our SQL output - a list of dates with the number of users created on a fictional gaming platform.
We now use the rolling() function from Python pandas, as shown below. Note that by changing the .mean() to a .sum(), we can now make this a rolling sum calculation. Neat, huh?
# SQL output is imported as a pandas dataframe variable called "df"
import pandas as pd
df["rolling"] = df["number_users"].rolling(10).mean()
# Use Sisense for Cloud Data Teams to visualize a dataframe or an image by passing data to periscope.output()
periscope.output(df)Now, we make this chart a line graph to visualize the rolling average line by itself!
Tip: If you want to display both the raw data and the rolling average, Sisense for Cloud Data Teams' built-in visualizations has a quick "Show Rolling Average" check box that you can toggle on.
