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CONTRIBUTING.md

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  • Code owners
    Assign users and groups as approvers for specific file changes. Learn more.
    After you've reviewed these contribution guidelines, you'll be all set to contribute to this project.
    example.py 1.48 KiB
    # -*- coding: utf-8 -*-
    """
    Created on Tue Jul 20 12:22:33 2021
    example workflow for integrating plotIDs
    @author: Richter
    """
    #%% Code und Konsole aufräumen
    %reset
    %matplotlib
    %clear
    #%% Module einbinden
    import sys
    import numpy as np
    from numpy import random
    import h5py as h5
    import matplotlib.pyplot as plt
    plt.style.use('fcn_help/FST.mplstyle')
    %matplotlib qt  
    #%matplotlib inline
    from FST_colors import Colors
    from TagPlot import TagPlot
    #%% Pfade hinzufügen
    sys.path.append("fcn_core")
    sys.path.append("fcn_help")
                    
    
    #%% Project ID
    ProjectID= "MR01"
    
    #%% Daten erzeugen
    x = np.linspace(0,10,100)
    y= random.rand(100) + 2
    y_2 = np.sin(x) +2 
    
    #%% Daten speichern
    dataset1 = "test_data.npy"
    np.save(dataset1, x,y, y_2)
    
    #%% figure erstellen
    # Farben
    colors = Colors() # create instance from class
    color_list = colors.get_color_names()
    # Plot erstellen
    color1 = colors.get_rgb('black')
    color2 = colors.get_rgb('yellow')
    #1.Figure
    fig1 = plt.figure()
    plt.plot(x,y, color=color1)
    plt.plot(x,y_2, color= color2)
    plt.draw()
    # 2.Figure
    plt.clf #Figure schließen 
    fig2 = plt.figure()
    plt.plot(x,y, color=color2)
    plt.plot(x,y_2, color= color1)
    plt.draw()
    
    fig = [fig1, fig2]
    
    #print(type(Figure1))
    
    [figs, ID] = TagPlot(fig, ProjectID)
    
    #figs.show()
    
    # numbers = plt.get_fignums()
    # labels = plt.get_figlabels()
    # print(numbers)
    # print(labels)
    
    # plt.draw()
    
    
    # plot taggen
    
    #%% Figure als tiff-Datei abspeichern
    for i in range(len(figs)):
        name = "Test"+str(i)+".tiff"
        figs[i].savefig(name)