How to smoothen the graph using Python
In this video ECG signal values are used for graphical plot using Python programming.
According to your requirements, the data can be used to plot using python.
Here 4 libraries are used,
1. Matplotlib – Used for creating visualizations of data and graphical representations of data in python.
2. Pandas - It offers data structures and operations for manipulating numerical tables and time series.
3. NumPy - It is a python library used for working with arrays. It also has functions for working in domain of linear algebra, Fourier transform, and matrices.
4. SciPy - SciPy is a library that uses NumPy for more mathematical functions. Used for numerical integration (calculus), interpolation, optimization, linear algebra, and statistics.
Steps involved:
Step 1 – Data is read from excel file using pd.read_excel () method and stored in a list.
Step 2 – Indexes and data values are stored in individual lists.
Step 3 – Both the above list are stored as arrays using np.array () method.
Step 4 – np.linspace () method is used to create a evenly spaced sequence for index array.
Step 5 – Then interpolation is done using B-spline function for better curving of graph. Default degree is 3 that is cubic.
Step 6 – Final arrays are plotted using plot () method and smoothened graph is obtained.
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