test plottools

test.py

@@ -15,8 +15,36 @@ import functions as fu
 from scipy.optimize import curve_fit
 from scipy.signal import find_peaks
 from thunderfish.eventdetection import threshold_crossing_times, threshold_crossings, detect_peaks
+import helperFunctions as hF
+import models.smallModels as sM
+from stimuli.SinusoidalStepStimulus import SinusoidalStepStimulus
+from matplotlib import gridspec
+from plottools.axes import labelaxes_params
 
 
+def demo():
+    """ Run a demonstration of the axes module.
+    """
 
+    def afigure():
+        fig = plt.figure()
+        gs = gridspec.GridSpec(2, 3, width_ratios=[5, 1.5, 2.4])
+        gs.update(left=0.075, bottom=0.14, right=0.985, top=0.9, wspace=0.6, hspace=0.6)
+        ax1 = fig.add_subplot(gs[:, 0])
+        ax2 = fig.add_subplot(gs[0, 1:])
+        ax3 = fig.add_subplot(gs[1, 1])
+        ax4 = fig.add_subplot(gs[1, 2])
+        for ax in [ax1, ax2, ax3, ax4]:
+            ax.set_xlabel('xlabel')
+            ax.set_ylabel('ylabel')
+        return fig, (ax1, ax2, ax3, ax4)
 
+    labelaxes_params(xoffs='auto', yoffs=-1, labels='A', font=dict(fontweight='bold'))
 
+    fig, axs = afigure()
+    # axs[0].text(0.5, 0.5, 'fig.label_axes()', transform=axs[0].transAxes, ha='center')
+    # axs[0].text(0.0, 0.0, 'X', transform=fig.transFigure, ha='left', va='bottom')
+    fig.label_axes()
+    plt.show()
+
+demo()