Introducing the Publish function.

Publish.py

+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+import os
+import shutil
+import sys
+
+
+def Publish(src_datapath, dst_dirname):
+    """
+    Save plot, data and measuring script.
+
+    Parameters
+    ----------
+    src_datapath : string
+        Path to data that should be published.
+    dst_dirname : string
+        Name for the destination directory.
+
+    Returns
+    -------
+    None.
+
+    """
+    #parent_dir = os.getcwd()
+    #print(parent_dir)
+    # os.mkdir('data')
+    
+    # Copy data to folder
+    shutil.copytree(src_datapath, dst_dirname, dirs_exist_ok=True)
+    # Copy script that calls this function to folder
+    shutil.copy2(sys.argv[0], dst_dirname)
+    return

data/?test.py

+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jul 27 11:40:58 2021
+
+@author: Richter
+"""
+from matplotlib import pyplot as plt
+
+fig_size = (10, 5)
+f = plt.figure(figsize=fig_size)
+
+def plot_signal(time, signal, title='', xlab='', ylab='',
+                line_width=1, alpha=1, color='k',
+                subplots=False, show_grid=True, fig=f):
+
+    # Skipping a lot of other complexity here
+
+    axarr = f.add_subplot(1,1,1) # here is where you add the subplot to f
+    plt.plot(time, signal, linewidth=line_width,
+               alpha=alpha, color=color)
+    plt.set_xlim(min(time), max(time))
+    plt.set_xlabel(xlab)
+    plt.set_ylabel(ylab)
+    plt.grid(show_grid)
+    plt.title(title, size=16)
+    
+    return(f)
+
+time = [0:1:100]
+signal= [200:300:100]
+
+f = plot_signal(time, signal, fig=f)
\ No newline at end of file

data/FST_colors.py

+import matplotlib.pyplot as plt
+
+def set_FST_template(project_directory):
+    plt.style.use(f'{project_directory}\\Code\\''FST.mplstyle')
+
+class Colors():
+    def __init__(self):
+        self.rgb_colors = {
+            'blue' : (0, 0.31, 0.45),
+            'red' : (0.91, 0.31, 0.24),
+            'green' : (0.69, 0.8, 0.31),
+            'black' : (0, 0, 0),
+            'orange' : (0.93, 0.48, 0.20),
+            'petrol' : (0.31, 0.71, 0.58),
+            'grey' : (0.54, 0.54, 0.54),
+            'yellow' : (0.99, 0.79, 0)
+        }
+    def get_rgb(self, color_name):
+        if color_name in self.rgb_colors.keys():
+            return self.rgb_colors[color_name]
+        else:
+            print(f"Error: Color '{color_name}' does not exist.\nAvailable colors are: {list(self.rgb_colors.keys())}")
+    def get_color_names(self):
+        return list(self.rgb_colors.keys())
\ No newline at end of file

data/__init__.py

+ 

data/example.py

+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jul 20 12:22:33 2021
+example workflow for integrating plotIDs
+@author: Richter
+"""
+
+# %% Module einbinden
+import sys
+import numpy as np
+from numpy import random
+# import h5py as h5
+# import matplotlib
+import matplotlib.pyplot as plt
+from TagPlot import TagPlot
+from Publish import Publish
+from fcn_help.FST_colors import Colors
+plt.style.use('fcn_help/FST.mplstyle')
+# %matplotlib qt
+# %matplotlib inline
+# %% Pfade hinzufügen
+sys.path.append("fcn_core")
+sys.path.append("fcn_help")
+
+
+# %% Project ID
+ProjectID = "MR04"
+
+# %% Plot engine
+plot_engine = "matplotlib"
+
+# %% Create sample data
+x = np.linspace(0, 10, 100)
+y = random.rand(100) + 2
+y_2 = np.sin(x) + 2
+
+# %% Create figure
+# Colors
+colors = Colors()  # create instance from class
+color_list = colors.get_color_names()
+# Create plot
+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)
+
+# 2.Figure
+plt.clf  # Close figure
+fig2 = plt.figure()
+plt.plot(x, y, color=color2)
+plt.plot(x, y_2, color=color1)
+plt.clf  # Close figure
+
+fig = [fig1, fig2]
+
+
+# %% TagPlot
+[figs, ID] = TagPlot(fig, ProjectID, plot_engine, method='2', location='west')
+
+# %% Figure als tiff-Datei abspeichern
+for i, figure in enumerate(figs):
+    name = "Test"+str(i)+".tiff"
+    figure.savefig(name)
+    
+# %% Publish
+Publish('fcn_help', 'data')

example.py

@@ -13,6 +13,7 @@ from numpy import random
 # import matplotlib
 import matplotlib.pyplot as plt
 from TagPlot import TagPlot
+from Publish import Publish
 from fcn_help.FST_colors import Colors
 plt.style.use('fcn_help/FST.mplstyle')
 # %matplotlib qt
@@ -62,3 +63,6 @@ fig = [fig1, fig2]
 for i, figure in enumerate(figs):
     name = "Test"+str(i)+".tiff"
     figure.savefig(name)
+    
+# %% Publish
+Publish('fcn_help', 'data')