Operating on time-series data
Pandas allows us to operate on time-series data efficiently and perform various operations like filtering and addition. You can simply set some conditions and Pandas will filter the dataset and return the right subset. You can add two time-series variables as well. This allows us to build various applications quickly without having to reinvent the wheel.
Create a new Python file and import the following packages:
import numpy as np import pandas as pd import matplotlib.pyplot as plt from timeseries import read_data
Define the input filename:
# Input filename input_file = 'data_2D.txt'
Load the third and fourth columns into separate variables:
# Load data x1 = read_data(input_file, 2) x2 = read_data(input_file, 3)
Create ...
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