add more plotting functions

1 files changed, 20 insertions, 10 deletions

diff --git a/lib/plotter.py b/lib/plotter.py
index 2ec635f..24e2197 100755
--- a/lib/plotter.py
+++ b/lib/plotter.py
@@ -80,10 +80,10 @@ def plot_substate_thresholds_p(model, aggregate):
     data = [aggregate[key]['sub_thresholds'] for key in keys]
     boxplot(keys, None, None, data, 'Zustand', '% Clipping')
 
-def plot_y(Y, ylabel = None, title = None):
-    plot_xy(np.arange(len(Y)), Y, ylabel = ylabel, title = title)
+def plot_y(Y, **kwargs):
+    plot_xy(np.arange(len(Y)), Y, **kwargs)
 
-def plot_xy(X, Y, xlabel = None, ylabel = None, title = None):
+def plot_xy(X, Y, xlabel = None, ylabel = None, title = None, output = None):
     fig, ax1 = plt.subplots(figsize=(10,6))
     if title != None:
         fig.canvas.set_window_title(title)
@@ -91,14 +91,21 @@ def plot_xy(X, Y, xlabel = None, ylabel = None, title = None):
         ax1.set_xlabel(xlabel)
     if ylabel != None:
         ax1.set_ylabel(ylabel)
-    plt.subplots_adjust(left = 0.05, bottom = 0.05, right = 0.99, top = 0.99)
-    plt.plot(X, Y, "rx")
-    plt.show()
+    plt.subplots_adjust(left = 0.1, bottom = 0.1, right = 0.99, top = 0.99)
+    plt.plot(X, Y, "bo", markersize=2)
+    if output:
+        plt.savefig(output)
+        with open('{}.txt'.format(output), 'w') as f:
+            print('X Y', file=f)
+            for i in range(len(X)):
+                print('{} {}'.format(X[i], Y[i]), file=f)
+    else:
+        plt.show()
 
 def _param_slice_eq(a, b, index):
     return (*a[1][:index], *a[1][index+1:]) == (*b[1][:index], *b[1][index+1:]) and a[0] == b[0]
 
-def plot_param(model, state_or_trans, attribute, param_idx, xlabel = None, ylabel = None, title = None, extra_function = None):
+def plot_param(model, state_or_trans, attribute, param_idx, xlabel = None, ylabel = None, title = None, extra_function = None, output = None):
     fig, ax1 = plt.subplots(figsize=(10,6))
     if title != None:
         fig.canvas.set_window_title(title)
@@ -106,7 +113,7 @@ def plot_param(model, state_or_trans, attribute, param_idx, xlabel = None, ylabe
         ax1.set_xlabel(xlabel)
     if ylabel != None:
         ax1.set_ylabel(ylabel)
-    plt.subplots_adjust(left = 0.05, bottom = 0.05, right = 0.99, top = 0.99)
+    plt.subplots_adjust(left = 0.1, bottom = 0.1, right = 0.99, top = 0.99)
 
     param_name = model.param_name(param_idx)
 
@@ -143,7 +150,7 @@ def plot_param(model, state_or_trans, attribute, param_idx, xlabel = None, ylabe
         v = by_other_param[k]
         v['X'] = np.array(v['X'])
         v['Y'] = np.array(v['Y'])
-        plt.plot(v['X'], v['Y'], "rx", color=cm(i))
+        plt.plot(v['X'], v['Y'], "ro", color=cm(i), markersize=3)
         YY2_legend.append(legend_sanitizer.sub('_', 'X_{}'.format(k)))
         YY2.append(v['X'])
         YY2_legend.append(legend_sanitizer.sub('_', 'Y_{}'.format(k)))
@@ -181,7 +188,10 @@ def plot_param(model, state_or_trans, attribute, param_idx, xlabel = None, ylabe
             print(' '.join(map(str, elem)), file=f)
 
     print(data_filename_base, function_filename)
-    plt.show()
+    if output:
+        plt.savefig(output)
+    else:
+        plt.show()
 
 
 def plot_param_fit(function, name, fitfunc, funp, parameters, datatype, index, X, Y, xaxis=None, yaxis=None):