November 2016
Beginner to intermediate
941 pages
21h 55m
English
book
Python: Real World Machine Learning
by Prateek Joshi, John Hearty, Bastiaan Sjardin, Luca Massaron, Alberto Boschetti
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Transforming data into the time series format
We will start by understanding how to convert a sequence of observations into time series data and visualize it. We will use a library called pandas to analyze time series data. Make sure that you install pandas before you proceed further. You can find the installation instructions at http://pandas.pydata.org/pandas-docs/stable/install.html.
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
- Let's define a function to read an input file that converts sequential observations into time-indexed data:
def convert_data_to_timeseries(input_file, column, verbose=False):
- We will use a text file consisting of four columns. ...
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