diff options
Diffstat (limited to 'lib/plotter.py')
| -rwxr-xr-x | lib/plotter.py | 30 |
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): |