In this recipe, we'll be building on previous recipes, and you'll learn how to create and save your plots to be used in your Flask business intelligence dashboard. We're adding the ability to automatically run the analysis created in IPython Notebook, and then save the generated plots for use in our dashboard.
First, import the Python libraries that you need:
import pandas as pd import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt
Next, define a variable for the accidents data file, import the data, and view the top five rows:
accidents_data_file = '/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Data/Stats19-Data1979-2004/Accidents7904.csv' accidents = pd.read_csv(accidents_data_file, sep=',', header=0, index_col=False, parse_dates=True, ...