Package modules

• helpers module
  • ask_dir_create()
  • check_dflist_ncols()
  • delete_dir_contents()
  • filename_no_ext()
  • flatten_list()
  • group_vals_by_key()
  • is_all_numeric()
  • is_list_sorted()
  • list_files_with_ext()
  • rename_dflist_columns()
  • yes_no()
• fileio module
  • load_csvs()
  • merge_csvs()
  • spc2csv()
• numpyfuncs module
  • baseline_correct()
  • crop()
  • despike()
  • differentiate()
  • get_index()
  • integrate()
  • interpolate()
  • normalize()
  • smooth()
• dffuncs module
  • PyfasmaAccessor
    • PyfasmaAccessor.baseline_correct()
    • PyfasmaAccessor.crop()
    • PyfasmaAccessor.despike()
    • PyfasmaAccessor.differentiate()
    • PyfasmaAccessor.integrate()
    • PyfasmaAccessor.interpolate()
    • PyfasmaAccessor.normalize()
    • PyfasmaAccessor.smooth()
  • merge_df_list()
• plotting module
  • annotate_points()
  • confidence_ellipse()
  • multiple_lineplots_from_lists()
  • single_lineplot_from_lists()
  • single_lineplot_with_error_from_lists()
• modeling module
  • PCA
    • PCA.loadings_df
    • PCA.loadings_multiple_plots()
    • PCA.loadings_single_plot()
    • PCA.scores_2d_kde_plot()
    • PCA.scores_df
    • PCA.scores_kde_plot()
    • PCA.scores_plot()
    • PCA.scree_plot()
    • PCA.summary_plot()
    • PCA.variance_df
  • PLSDA
    • PLSDA.coef_df
    • PLSDA.confusion_matrix()
    • PLSDA.confusion_matrix_components_df
    • PLSDA.confusion_matrix_df()
    • PLSDA.confusion_matrix_plot()
    • PLSDA.cv_metrics_df
    • PLSDA.plot_cv_metrics()
    • PLSDA.predict()
    • PLSDA.prediction_df
    • PLSDA.prediction_metrics_df
    • PLSDA.prediction_plot()
    • PLSDA.roc_all_ovr_plot()
    • PLSDA.roc_ovr_plot()
    • PLSDA.x_loadings_df
    • PLSDA.x_rotations_df
    • PLSDA.x_scores_df
    • PLSDA.x_scores_plot()
    • PLSDA.x_variance_df
    • PLSDA.x_weights_df
    • PLSDA.y_loadings_df
    • PLSDA.y_pred_bin_df
    • PLSDA.y_pred_df
    • PLSDA.y_rotations_df
    • PLSDA.y_scores_df
    • PLSDA.y_scores_plot()
    • PLSDA.y_test_bin_df
    • PLSDA.y_test_df
    • PLSDA.y_weights_df
• deconvolution module
  • FitGaussian
    • FitGaussian.model
  • FitLorentzian
    • FitLorentzian.model
  • FitVoigt
    • FitVoigt.model
  • MultiGaussianModel()
  • MultiLorentzianModel()
  • MultiVoigtModel()
  • gaussian_profile()
  • lorentzian_profile()
  • multi_gaussian_profile()
  • multi_lorentzian_profile()
  • multi_voigt_profile()
  • voigt_profile()