Extracting statistics from time series data
One of the main reasons that we want to analyze time series data is to extract interesting statistics from it. This provides a lot of information regarding the nature of the data. In this recipe, we will take a look at how to extract these stats.
How to do it…
- Create a new Python file, and import the following packages:
import numpy as np import pandas as pd import matplotlib.pyplot as plt from convert_to_timeseries import convert_data_to_timeseries
- We will use the same text file that we used in the previous recipes for analysis:
# Input file containing data input_file = 'data_timeseries.txt'
- Load both the data columns (third and fourth columns):
# Load data data1 = convert_data_to_timeseries(input_file, 2) ...