labplot  2.8.2
About: LabPlot is an application for plotting and analysis of 2D and 3D functions and data. It is a complete rewrite of LabPlot1 and lacks in the first release a lot of features available in the predecessor. On the other hand, the GUI and the usability is more superior.
  Fossies Dox: labplot-2.8.2.tar.gz  ("unofficial" and yet experimental doxygen-generated source code documentation)  

nsl_smooth_check Namespace Reference

Variables

 x = np.array([2, 2, 5, 2, 1, 0, 1, 4, 9])
 
int m = 5
 
int order = 2
 
 precision
 
 mode
 

Variable Documentation

◆ m

◆ mode

nsl_smooth_check.mode

Definition at line 39 of file nsl_smooth_check.py.

Referenced by Column.calculateStatistics(), MainWin.cartesianPlotMouseModeChanged(), Worksheet.cartesianPlotMouseModeChangedSlot(), AbstractFileFilter.columnMode(), ColumnPrivate.ColumnPrivate(), MatrixModel.data(), RandomValuesDialog.generate(), AddSubtractValueDialog.generateForColumns(), AddSubtractValueDialog.generateForMatrices(), AbstractColumn.iconForMode(), ImportFileDialog.importTo(), ImportSQLDatabaseDialog.importTo(), Column.indexForValue(), DateTime2StringFilter.inputAcceptable(), AbstractColumn.isNumeric(), AbstractColumn.isPlottable(), Column.maximum(), SpreadsheetView.maxRowToExport(), Column.minimum(), SpreadsheetView.normalizeSelectedColumns(), nsl_smooth_moving_average(), nsl_smooth_moving_average_lagged(), nsl_smooth_percentile(), nsl_smooth_savgol(), JsonFilterPrivate.parseColumnModes(), SpreadsheetView.pasteIntoSelection(), XYInterpolationCurveDock.pointsModeChanged(), AsciiFilterPrivate.prepareDeviceToRead(), Matrix.prepareImport(), AsciiFilterPrivate.previewValue(), HDF5FilterPrivate.readCurrentDataSet(), NetCDFFilterPrivate.readCurrentVar(), AsciiFilterPrivate.readDataFromDevice(), HDF5FilterPrivate.readDataFromFile(), ImageFilterPrivate.readDataFromFile(), NetCDFFilterPrivate.readDataFromFile(), HDF5Filter.readDataFromFile(), NetCDFFilter.readDataFromFile(), XYFitCurvePrivate.recalculate(), ImportSQLDatabaseWidget.refreshPreview(), ColumnPrivate.replaceModeData(), Spreadsheet.resize(), MaskValuesTask.run(), DropValuesTask.run(), Worksheet.setCartesianPlotActionMode(), WorksheetView.setCartesianPlotActionMode(), Worksheet.setCartesianPlotCursorMode(), WorksheetView.setCartesianPlotCursorMode(), ColumnPrivate.setColumnMode(), Column.setColumnMode(), Column.setColumnModeFast(), AddSubtractValueDialog.setColumns(), ColumnDock.setColumns(), MatrixModel.setData(), QxtSpanSlider.setHandleMovementMode(), AddSubtractValueDialog.setMatrices(), ColumnDock.updateTypeWidgets(), and MQTTClient.updateWillMessage().

◆ order

◆ precision

◆ x

nsl_smooth_check.x = np.array([2, 2, 5, 2, 1, 0, 1, 4, 9])

Definition at line 32 of file nsl_smooth_check.py.

Referenced by XYCurvePrivate.activateCurve(), tree< T, tree_node_allocator >.append_child(), Origin::Variant.asgString(), XYAnalysisCurve.copyData(), LabelWidget.customPositionXChanged(), ImageEditor.discretizeForeground(), ImageEditor.discretizeHue(), ImageEditor.discretizeIntensity(), ImageEditor.discretizeSaturation(), ImageEditor.discretizeValue(), ImageEditor.discretizeValueForeground(), HistogramView.drawBackground(), WorksheetView.drawBackgroundItems(), ExpressionParser.evaluateCartesian(), ExpressionParser.evaluateParametric(), Faddeeva_Dawson(), Faddeeva_Dawson_re(), Faddeeva_erf(), Faddeeva_erf_re(), Faddeeva_erfc(), Faddeeva_erfc_re(), Faddeeva_erfcx_re(), Faddeeva_erfi_re(), Faddeeva_w(), Faddeeva_w_im(), ImageEditor.findBackgroundColor(), Segments.finishRun(), func_df(), func_f(), func_fdf(), MatrixFunctionDialog.generate(), CartesianPlotDock.geometryChanged(), AbstractColumn.indexForValue(), Column.indexForValue(), tree< T, tree_node_allocator >.insert(), tree< T, tree_node_allocator >.insert_after(), CartesianPlotPrivate.itemChange(), XYFitCurve.load(), Segments.makeSegments(), CartesianCoordinateSystem.mapLogicalToScene(), CartesianCoordinateSystem.mapSceneToLogical(), Segments.matchRunsToSegments(), CartesianPlotPrivate.mouseReleaseEvent(), nsl_conv_standard_kernel(), nsl_diff_deriv_first_equal(), nsl_diff_fifth_deriv(), nsl_diff_fifth_deriv_second_order(), nsl_diff_first_deriv(), nsl_diff_first_deriv_avg(), nsl_diff_first_deriv_fourth_order(), nsl_diff_first_deriv_second_order(), nsl_diff_fourth_deriv(), nsl_diff_fourth_deriv_first_order(), nsl_diff_fourth_deriv_third_order(), nsl_diff_second_deriv(), nsl_diff_second_deriv_first_order(), nsl_diff_second_deriv_second_order(), nsl_diff_second_deriv_third_order(), nsl_diff_sixth_deriv(), nsl_diff_sixth_deriv_first_order(), nsl_diff_third_deriv(), nsl_diff_third_deriv_second_order(), nsl_filter_gain_bessel(), nsl_fit_map_bound(), nsl_fit_map_unbound(), nsl_fit_model_algebraic_sigmoid_param_deriv(), nsl_fit_model_atan_param_deriv(), nsl_fit_model_beta_param_deriv(), nsl_fit_model_chi_square_param_deriv(), nsl_fit_model_erf_param_deriv(), nsl_fit_model_exp_pow_param_deriv(), nsl_fit_model_exponential_param_deriv(), nsl_fit_model_exponentialn_param_deriv(), nsl_fit_model_fdist_param_deriv(), nsl_fit_model_fourier_param_deriv(), nsl_fit_model_frechet_param_deriv(), nsl_fit_model_gamma_param_deriv(), nsl_fit_model_gaussian_param_deriv(), nsl_fit_model_gaussian_tail_param_deriv(), nsl_fit_model_gompertz_param_deriv(), nsl_fit_model_gudermann_param_deriv(), nsl_fit_model_gumbel1_param_deriv(), nsl_fit_model_gumbel2_param_deriv(), nsl_fit_model_hill_param_deriv(), nsl_fit_model_inverse_exponential_param_deriv(), nsl_fit_model_landau_param_deriv(), nsl_fit_model_laplace_param_deriv(), nsl_fit_model_levy_param_deriv(), nsl_fit_model_logistic_param_deriv(), nsl_fit_model_lognormal_param_deriv(), nsl_fit_model_lorentz_param_deriv(), nsl_fit_model_maxwell_param_deriv(), nsl_fit_model_pareto_param_deriv(), nsl_fit_model_poisson_param_deriv(), nsl_fit_model_polynomial_param_deriv(), nsl_fit_model_power1_param_deriv(), nsl_fit_model_power2_param_deriv(), nsl_fit_model_pseudovoigt1_param_deriv(), nsl_fit_model_rayleigh_param_deriv(), nsl_fit_model_rayleigh_tail_param_deriv(), nsl_fit_model_sech_dist_param_deriv(), nsl_fit_model_sech_param_deriv(), nsl_fit_model_sigmoid_param_deriv(), nsl_fit_model_students_t_param_deriv(), nsl_fit_model_tanh_param_deriv(), nsl_fit_model_voigt_param_deriv(), nsl_fit_model_weibull_param_deriv(), nsl_int_rectangle(), nsl_int_simpson(), nsl_int_simpson_3_8(), nsl_int_trapezoid(), nsl_interp_ratint(), nsl_sf_acot(), nsl_sf_acoth(), nsl_sf_acsc(), nsl_sf_acsch(), nsl_sf_airy_Ai(), nsl_sf_airy_Aid(), nsl_sf_airy_Aids(), nsl_sf_airy_Ais(), nsl_sf_airy_Bi(), nsl_sf_airy_Bid(), nsl_sf_airy_Bids(), nsl_sf_airy_Bis(), nsl_sf_asec(), nsl_sf_asech(), nsl_sf_bessel_ils(), nsl_sf_bessel_In(), nsl_sf_bessel_Ins(), nsl_sf_bessel_jl(), nsl_sf_bessel_Jn(), nsl_sf_bessel_kls(), nsl_sf_bessel_Kn(), nsl_sf_bessel_Kns(), nsl_sf_bessel_yl(), nsl_sf_bessel_Yn(), nsl_sf_conicalP_cylreg(), nsl_sf_conicalP_sphreg(), nsl_sf_cot(), nsl_sf_coth(), nsl_sf_csc(), nsl_sf_csch(), nsl_sf_dawson(), nsl_sf_ellint_Ec(), nsl_sf_ellint_Kc(), nsl_sf_ellint_Pc(), nsl_sf_ellint_RC(), nsl_sf_ellint_RD(), nsl_sf_ellint_RF(), nsl_sf_ellint_RJ(), nsl_sf_erfcx(), nsl_sf_erfi(), nsl_sf_exprel_n(), nsl_sf_fermi_dirac_int(), nsl_sf_gegenpoly_n(), nsl_sf_harmonic(), nsl_sf_hyperg_1F1i(), nsl_sf_hyperg_Ui(), nsl_sf_im_w_of_x(), nsl_sf_laguerre_n(), nsl_sf_ldexp(), nsl_sf_legendre_Pl(), nsl_sf_legendre_Plm(), nsl_sf_legendre_Ql(), nsl_sf_legendre_sphPlm(), nsl_sf_log2_int(), nsl_sf_log2_int0(), nsl_sf_log2_int2(), nsl_sf_log2_longlong(), nsl_sf_log2p1_int(), nsl_sf_poly_bessel_y(), nsl_sf_poly_chebyshev_T(), nsl_sf_poly_chebyshev_U(), nsl_sf_poly_interp_lagrange_0_int(), nsl_sf_poly_interp_lagrange_1(), nsl_sf_poly_interp_lagrange_1_absint(), nsl_sf_poly_interp_lagrange_1_deriv(), nsl_sf_poly_interp_lagrange_1_int(), nsl_sf_poly_interp_lagrange_2(), nsl_sf_poly_interp_lagrange_2_deriv(), nsl_sf_poly_interp_lagrange_2_deriv2(), nsl_sf_poly_interp_lagrange_2_int(), nsl_sf_poly_interp_lagrange_3(), nsl_sf_poly_interp_lagrange_3_deriv(), nsl_sf_poly_interp_lagrange_3_deriv2(), nsl_sf_poly_interp_lagrange_3_deriv3(), nsl_sf_poly_interp_lagrange_3_int(), nsl_sf_poly_interp_lagrange_4(), nsl_sf_poly_interp_lagrange_4_deriv(), nsl_sf_poly_interp_lagrange_4_deriv2(), nsl_sf_poly_interp_lagrange_4_deriv3(), nsl_sf_poly_interp_lagrange_4_deriv4(), nsl_sf_poly_interp_lagrange_6_deriv4(), nsl_sf_poly_interp_lagrange_6_deriv5(), nsl_sf_poly_interp_lagrange_6_deriv6(), nsl_sf_poly_optimal_legendre_L(), nsl_sf_poly_reversed_bessel_theta(), nsl_sf_powint(), nsl_sf_pseudovoigt(), nsl_sf_pseudovoigt1(), nsl_sf_psin(), nsl_sf_sec(), nsl_sf_sech(), nsl_sf_sgn(), nsl_sf_taylorcoeff(), nsl_sf_theta(), nsl_sf_voigt(), ImagePrivate.positionFromItemPosition(), TextLabelPrivate.positionFromItemPosition(), CustomPointDock.positionXChanged(), CustomPointDock.positionXDateTimeChanged(), SpreadsheetView.powerTransformSelectedColumns(), tree< T, tree_node_allocator >.prepend_child(), ImageEditor.processedPixelIsOn(), XYFitCurvePrivate.recalculate(), XYInterpolationCurvePrivate.recalculate(), tree< T, tree_node_allocator >.replace(), ImagePrivate.retransform(), TextLabelPrivate.retransform(), DiscretizeTask.run(), GenerateValueTask.run(), tree< T, tree_node_allocator >.set_head(), WorksheetPrivate.setContainerRect(), CartesianPlot.setType(), CartesianPlot.shift(), sinc(), sinh_taylor(), sqr(), tree< T, tree_node_allocator >.tree(), WorksheetPrivate.updateLayout(), XYCurvePrivate.updateLines(), XYCurvePrivate.updateValues(), ImageEditor.uploadHistogram(), HistogramPrivate.verticalHistogram(), w_im_y100(), tree< T, tree_node_allocator >.wrap(), XYFitCurvePrivate.writeSolverState(), XYCurve.y(), XYCurve.yDateTime(), and CartesianPlot.zoom().