Visualization_Project/matplot.py at main · priyadivya24/Visualization_Project · GitHub

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import os
import pandas as pd
import matplotlib.pyplot as plt
from ipywidgets import interact, Dropdown
import time


# read parquet files
def read_parquet_files(folder_path):
    df_list = []
    for root, dirs, files in os.walk(folder_path):
        for file in files:
            if file.endswith('.parquet'):
                file_path = os.path.join(root, file)
                df = pd.read_parquet(str(file_path))
                df_list.append(df)
    return pd.concat(df_list)


#  create dashboard
def create_dashboard(main1_folder_path):
    # update plot based on dropdown selection
    # update plot based on dropdown selection
    def update_plot(selected_xtin_folder, selected_xhexp_folder, selected_actu_folder, selected_cont_folder):
        start_time = time.time()  # Start the timer

        xtin_folder_data = read_parquet_files(
            os.path.join(main1_folder_path, 'LASER.LOCK.XLO', 'XTIN.MLO1', selected_xtin_folder))
        xhexp_folder_data = read_parquet_files(
            os.path.join(main1_folder_path, 'LASER.LOCK.XLO', 'XHEXP1.SLO1', selected_xhexp_folder))
        actu_folder_data = read_parquet_files(
            os.path.join(main1_folder_path, 'LINK.LOCK', 'XTIN.AMC8.ACTUATOR', selected_actu_folder))
        cont_folder_data = read_parquet_files(
            os.path.join(main1_folder_path, 'LINK.LOCK', 'XTIN.AMC8.CONTROLLER', selected_cont_folder))

        # plot for each folder
        plt.figure(figsize=(10, 8))

        plt.subplot(2, 2, 1)
        plt.plot(xtin_folder_data['timestamp'], xtin_folder_data['data'])
        plt.title('MLO1')
        plt.xlabel('Time')
        plt.ylabel('Data')

        plt.subplot(2, 2, 2)
        plt.plot(xhexp_folder_data['timestamp'], xhexp_folder_data['data'])
        plt.title('SLO1')
        plt.xlabel('Time')
        plt.ylabel('Data')

        plt.subplot(2, 2, 3)
        plt.plot(actu_folder_data['timestamp'], actu_folder_data['data'])
        plt.title('Actuator')
        plt.xlabel('Time')
        plt.ylabel('Data')

        plt.subplot(2, 2, 4)
        plt.plot(cont_folder_data['timestamp'], cont_folder_data['data'])
        plt.title('Controller')
        plt.xlabel('Time')
        plt.ylabel('Data')

        plt.tight_layout()
        plt.show()

        end_time = time.time()  # End the timer
        print("Time taken to load data and display the plot:", end_time - start_time, "seconds")

    # dropdown
    xtins_folder_path = os.path.join(main_folder_path, 'LASER.LOCK.XLO', 'XTIN.MLO1')
    xhexps_folder_path = os.path.join(main_folder_path, 'LASER.LOCK.XLO', 'XHEXP1.SLO1')
    actus_folder_path = os.path.join(main_folder_path, 'LINK.LOCK', 'XTIN.AMC8.ACTUATOR')
    conts_folder_path = os.path.join(main_folder_path, 'LINK.LOCK', 'XTIN.AMC8.CONTROLLER')

    subfolders_xtin = os.listdir(xtins_folder_path)
    subfolders_xhexp = os.listdir(xhexps_folder_path)
    subfolders_actu = os.listdir(actus_folder_path)
    subfolders_cont = os.listdir(conts_folder_path)

    interact(update_plot, selected_xtin_folder=Dropdown(options=subfolders_xtin),
             selected_xhexp_folder=Dropdown(options=subfolders_xhexp),
             selected_actu_folder=Dropdown(options=subfolders_actu),
             selected_cont_folder=Dropdown(options=subfolders_cont))


# main folder path
main_folder_path = 'XFEL.SYNC'

# Create dashboard
create_dashboard(main_folder_path)