Plot Data from HDF5 File

Here is a Python script that plots the data from the HDF5 output generated by the DemoPicoLoggingMeasurement class. This script uses the h5py library to read the HDF5 file and matplotlib to plot the data.

Script to Plot Data from HDF5 File

  1. Install Required Libraries: Make sure you have h5py and matplotlib installed. You can install them using pip:

    pip install h5py matplotlib

  2. Plotting Script: Save the following script to a .py file and run it to plot the data from the HDF5 file.

import h5py
import matplotlib.pyplot as plt

def plot_demo_pico_logging_data(h5_file_path):
    # Open the HDF5 file
    with h5py.File(h5_file_path, 'r') as h5f:
        # Navigate to the measurement group
        meas_group = h5f['demo_pico_logging']
        
        # Read the dataset
        pr_data = meas_group['pr_data'][:]
        
        # Extract time and pr values
        time_data = pr_data[:, 0]
        pr_values = pr_data[:, 1]
        
        # Plot the data
        plt.figure()
        plt.plot(time_data, pr_values, marker='o', linestyle='-', color='b', label='PR Value')
        plt.xlabel('Time (s)')
        plt.ylabel('PR Value')
        plt.title('Demo Pico Logging Measurement')
        plt.legend()
        plt.grid(True)
        plt.show()

# Path to the HDF5 file
h5_file_path = 'path/to/your/demo_pico_logging_output.h5'

# Call the function to plot data
plot_demo_pico_logging_data(h5_file_path)

Explanation

  1. Import Libraries:

    • h5py is used to read data from the HDF5 file.
    • matplotlib.pyplot is used to create the plot.

  2. Open the HDF5 File:

    • The script opens the HDF5 file in read mode using h5py.File.

  3. Read the Dataset:

    • The script navigates to the demo_pico_logging group in the HDF5 file and reads the pr_data dataset.

  4. Extract Data:

    • Time and PR values are extracted from the dataset. The first column is time, and the second column is PR value.

  5. Plot the Data:

    • The script creates a plot with time on the x-axis and PR values on the y-axis.
    • The plot includes markers and a line connecting the data points, labels, a title, a legend, and a grid for better readability.

  6. Path to the HDF5 File:

    • Update the h5_file_path variable with the path to your HDF5 file generated by the DemoPicoLoggingMeasurement.

Running the Script

  1. Save the script to a file, for example, plot_demo_pico_logging_data.py.
  2. Run the script from the command line:
    python plot_demo_pico_logging_data.py

Ensure the path to your HDF5 file is correct. The script will read the data from the HDF5 file and display the plot.