我们从Python开源项目中，提取了以下3个代码示例，用于说明如何使用matplotlib.pyplot.get_backend()。
def plot_single_day_traffic(df): y_tj_l1 = df["tj_level1_count"] y_tj_l2 = df["tj_level2_count"] y_tj_l3 = df["tj_level3_count"] y_tj_l4 = df["tj_level4_count"] x_time = df["time"] x_district = df["district"] fig = plt.figure() ax = fig.add_subplot(111, projection='3d') ax.scatter(x_time, x_district, y_tj_l1, ) #ax.plot_surface(x_time, x_district, y_tj_l1) print(plt.get_backend()) plt.show() plt.savefig("plot_traffic.png")
def test_revert(): with patch('matplotlib.rcParams.update') as mock_update, \ patch('matplotlib.pyplot.switch_backend') as mock_switch: lp.latexify() lp.revert() mock_update.assert_called_with(dict(plt.rcParams)) mock_switch.assert_called_with(plt.get_backend())
def plot_alignment_errors(errors_position, rmse_pose, errors_orientation, rmse_orientation, blocking=True): assert np.array_equal(errors_position.shape, errors_orientation.shape) num_error_values = errors_position.shape[0] title_position = 1.05 fig = plt.figure() a1 = fig.add_subplot(2, 1, 1) fig.suptitle("Alignment Evaluation", fontsize='24') a1.set_title( "Red = Position Error Norm [m] - Black = RMSE", y=title_position) plt.plot(errors_position, c='r') plt.plot(rmse_pose * np.ones((num_error_values, 1)), c='k') a2 = fig.add_subplot(2, 1, 2) a2.set_title( "Red = Absolute Orientation Error [Degrees] - Black = RMSE", y=title_position) plt.plot(errors_orientation, c='r') plt.plot(rmse_orientation * np.ones((num_error_values, 1)), c='k') if plt.get_backend() == 'TkAgg': mng = plt.get_current_fig_manager() max_size = mng.window.maxsize() max_size = (max_size[0], max_size[1] * 0.45) mng.resize(*max_size) fig.tight_layout() plt.subplots_adjust(left=0.025, right=0.975, top=0.8, bottom=0.05) plt.show(block=blocking)
