From d373f686deb58f767ae7d01b695a53b07e97b5c3 Mon Sep 17 00:00:00 2001 From: stephanbreimann Date: Mon, 25 Sep 2023 22:45:40 +0200 Subject: [PATCH] Improve code, interace for aa.plot_set_legend --- CONTRIBUTING.rst | 6 +- aaanalysis/__pycache__/utils.cpython-39.pyc | Bin 14975 -> 14998 bytes .../__pycache__/_utils_check.cpython-39.pyc | Bin 4212 -> 4551 bytes .../__pycache__/utils_cpp.cpython-39.pyc | Bin 10634 -> 10638 bytes aaanalysis/_utils/_utils_check.py | 64 ++-- .../cpp/__pycache__/cpp_plot.cpython-39.pyc | Bin 25887 -> 25891 bytes .../plot_set_legend_.cpython-39.pyc | Bin 4997 -> 9573 bytes aaanalysis/plotting/plot_set_legend_.py | 293 +++++++++++++----- aaanalysis/utils.py | 1 + docs/build/doctrees/api.doctree | Bin 26844 -> 26816 bytes docs/build/doctrees/environment.pickle | Bin 25721198 -> 25722307 bytes .../generated/aaanalysis.CPPPlot.doctree | Bin 170587 -> 170587 bytes .../generated/aaanalysis.plot_gcfs.doctree | Bin 5126 -> 5067 bytes 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Normal Cases Test Class: - Name: 'Test[TARGET FUNCTION NAME]'. - Objective: Test EACH parameter *INDIVIDUALLY*. - - Tests: For EACH parameter, at least 10 positive and 10 negative tests. + - Tests: Test EACH parameter, at least 10 positive and 10 negative tests for this class. 2. Complex Cases Test Class: - Name: 'Test[TARGET FUNCTION NAME]Complex'. @@ -400,3 +400,7 @@ or a custom testing template: Reminder: In Normal Cases, it's crucial to test parameters individually. " + +You can run this prompt multiple times or ask to continue. After copy-pasting all results into +your final testing script. 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check_cats(list_cat=None, dict_color=None, labels=None): +# Checking functios +def check_dict_colors(dict_color=None, list_cat=None, labels=None): """""" ut.check_dict(name="dict_color", val=dict_color, accept_none=False) - if labels is not None: - if list_cat is not None: + # If labels are provided + if labels: + # If list_cat is provided, check its length against labels + if list_cat: if len(list_cat) != len(labels): raise ValueError(f"Length of 'list_cat' ({len(list_cat)}) and 'labels' ({len(labels)}) must match") + # If list_cat isn't provided, check the length of dict_color against labels elif len(dict_color) != len(labels): raise ValueError(f"Length of 'dict_color' ({len(dict_color)}) and 'labels' ({len(labels)}) must match") - if list_cat is None: + # Default list_cat to the keys of dict_color if not provided + if not list_cat: list_cat = list(dict_color.keys()) - else: - raise ValueError("'list_cat' and 'dict_color' should not be None") return list_cat -# Helper functions -def _create_marker(color, category, shape, lw, edgecolor): - if shape is None: + +def check_x_y(x=None, y=None): + """""" + ut.check_number_val(name="x", val=x, accept_none=True, just_int=False) + ut.check_number_val(name="y", val=y, accept_none=True, just_int=False) + # Check if matching + if x is None and y is None: + return + if x is not None and y is not None: + return + raise ValueError(f"'x' ({x}) and 'y' ({y}) must either both be None or both given.") + + + +def _check_validity(item, valid_items, item_name, list_cat): + """General check validity function.""" + if item is None: + return [item] * len(list_cat) + item_is_list = isinstance(item, list) + if not item_is_list: + if item not in valid_items: + raise ValueError(f"'{item_name}' ('{item}') must be one of the following: {valid_items}") + else: + return [item] * len(list_cat) + else: + wrong_items = [x for x in item if x not in valid_items] + if len(wrong_items) != 0: + raise ValueError( + f"'{item_name}' contains wrong items ('{wrong_items}')! Must be one of the following: {valid_items}") + if len(item) != len(list_cat): + raise ValueError(f"Length of '{item_name}' ({item}) and categories ({list_cat}) must match!") + else: + return item + + +def check_marker(marker=None, list_cat=None, lw=0): + """Check validity of marker.""" + all_markers = list(mlines.Line2D.markers.keys()) + all_markers.append("-") # Allow '-' as a valid marker for a line + if marker == "-" and lw <= 0: + raise ValueError(f"If marker is '{marker}', 'lw' ({lw}) must be > 0.") + return _check_validity(marker, all_markers, 'marker', list_cat) + + +def check_linestyle(marker_linestyle=None, list_cat=None): + """Check validity of linestyle.""" + _lines = ['-', '--', '-.', ':'] + _names = ["solid", "dashed", "dashed-doted", "dotted"] + dict_names_lines = dict(zip(_names, _lines)) + # Names to line styles + if isinstance(marker_linestyle, str) and marker_linestyle in _names: + marker_linestyle = dict_names_lines[marker_linestyle] + elif isinstance(marker_linestyle, list): + marker_linestyle = [dict_names_lines.get(x, x) for x in marker_linestyle] + valid_linestyles = dict(zip(_lines, _names)) + return _check_validity(marker_linestyle, valid_linestyles, 'marker_linestyle', list_cat) + + +# Helper function +def _create_marker(color, category, marker, marker_size, lw, edgecolor, linestyle='-'): + """Create custom marker based on input.""" + if marker == "-": # If marker is '-', treat it as a line + return plt.Line2D([0, 1], [0, 1], color=color, linestyle=linestyle, lw=lw, label=category) + + if marker is None: args = {'facecolor': color, 'label': category, 'lw': lw} if edgecolor: args['edgecolor'] = edgecolor return mpl.patches.Patch(**args) - return plt.Line2D([0], [0], marker=shape, color='w', markerfacecolor=color, markersize=10, label=category) - + return plt.Line2D([0], [0], marker=marker, color='w', linestyle=linestyle, markerfacecolor=color, + markersize=marker_size, label=category) # II Main function -# TODO check, interface, doc, test def plot_set_legend(ax: Optional[plt.Axes] = None, + remove_legend: bool = True, handles: Optional[List] = None, + return_handles: bool = False, + # Color and Categories dict_color: Optional[Dict[str, str]] = None, list_cat: Optional[List[str]] = None, labels: Optional[List[str]] = None, - y: Optional[int] = None, - x: Optional[int] = None, + # Position and Layout + loc: str = "upper left", + loc_out: bool = False, + y: Optional[Union[int, float]] = None, + x: Optional[Union[int, float]] = None, ncol: int = 3, - fontsize: Optional[int] = None, + labelspacing: Union[int, float] = 0.2, + columnspacing: Union[int, float] = 1.0, + handletextpad: Union[int, float] = 0.8, + handlelength: Union[int, float] = 2, + # Font and Style + fontsize: Optional[Union[int, float]] = None, + fontsize_title: Optional[Union[int, float]] = None, weight: str = "normal", - lw: float = 0, + fontsize_weight: str = "normal", + # Line, Marker, and Area + lw: Union[int, float] = 0, edgecolor: Optional[str] = None, - return_handles: bool = False, - loc: str = "upper left", - labelspacing: float = 0.2, - columnspacing: int = 1, + marker: Optional[Union[str, int, list]] = None, + marker_size: Union[int, float] = 10, + marker_linestyle: Union[str, list] = "-", + # Title title: Optional[str] = None, - fontsize_legend: Optional[int] = None, title_align_left: bool = True, - fontsize_weight: str = "normal", - shape: Optional[str] = None, - **kwargs) -> Union[plt.Axes, Tuple[List, List[str]]]: + **kwargs + ) -> Union[plt.Axes, Tuple[List, List[str]]]: """ Set a customizable legend for a plot. + Legends can be flexbily adjusted based on ``handles`` or categories and colors provided in ``dict_color``. + This functions comprises the most convinient settings for ``func:`matplotlib.pyplot.legend``. + Parameters ---------- ax The axes to attach the legend to. If not provided, the current axes will be used. + remove_legend: + Remove legend of given or current axes. handles - Handles for legend items. If not provided, they will be generated based on `dict_color` and `list_cat`. + Handles for legend items. If not provided, they will be generated based on ``dict_color`` and ``list_cat``. + return_handles + Whether to return handles and labels. If ``True``, function returns ``handles``, ``labels`` instead of the axes. + dict_color A dictionary mapping categories to colors. list_cat - List of categories to include in the legend. + List of categories to include in the legend (keys of ``dict_color``). labels - Labels for legend items. + Labels for legend items corresponding to given categories. + loc + Location for the legend. + loc_out + If ``True``, sets automatically ``x=0`` and ``y=-0.25`` if they are ``None``. y The y-coordinate for the legend's anchor point. x The x-coordinate for the legend's anchor point. ncol Number of columns in the legend. + labelspacing + Vertical spacing between legend items. + columnspacing + Horizontal spacing between legend columns. + handletextpad + Horizontal spacing bewtween legend handle (marker) and label. + handlelength + Length of legend handle (marker). fontsize Font size for the legend text. + fontsize_title + Font size for the legend title. weight Weight of the font. + fontsize_weight + Font weight for the legend title. lw Line width for legend items. edgecolor Edge color for legend items. - return_handles - Whether to return handles and labels. If `True`, function returns `handles, labels` instead of the axes. - loc - Location for the legend. - labelspacing - Vertical spacing between legend items. - columnspacing - Horizontal spacing between legend columns. + marker + Marker shape for legend items. '-' is added to the :mod:`matplotlib` default options to use lines as markers. + marker_size + Marker size for legend items. + marker_linestyle + Marker linestyle of legend items. title Title for the legend. - fontsize_legend - Font size for the legend title. title_align_left Whether to align the title to the left. - fontsize_weight - Font weight for the legend title. - shape - Marker shape for legend items. Refer to `matplotlib.lines.Line2D` for available shapes. + **kwargs + Furhter key word arguments for :func:`matplotlib.axes.Axes.legend`. Returns ------- ax - The axes with the legend applied. If `return_handles=True`, it returns handles and labels instead. + The axes with the legend applied. If ``return_handles=True``, it returns ``handles`` and ``labels`` instead. Examples -------- - >>> import aaanalysis as aa - >>> aa.plot_set_legend(ax=ax, dict_color={'Cat1': 'red', 'Cat2': 'blue'}, shape='o') + .. plot:: + :include-source: + + >>> import matplotlib.pyplot as plt + >>> import seaborn as sns + >>> import aaanalysis as aa + >>> data = {'Classes': ['A', 'B', 'C'], 'Values': [23, 27, 43]} + >>> colors = aa.plot_get_cmap(name="CAT", n_colors=3) + >>> aa.plot_settings() + >>> sns.barplot(x='Classes', y='Values', data=data, palette=colors) + >>> sns.despine() + >>> dict_color = dict(zip(["Class A", "Class B", "Class C"], colors)) + >>> aa.plot_set_legend(dict_color=dict_color, ncol=1, marker="-", lw=10, loc_out=True) + >>> plt.tight_layout() + >>> plt.show() See Also -------- - matplotlib.pyplot.legend - For additional details on how the 'loc' parameter can be customized. - matplotlib.lines.Line2D - For details on the different types of marker shapes ('shape' parameter). + * `Matplotlib markers `. + * `Linestyles of markers ` + * :func:`matplotlib.lines.Line2D` for available marker shapes and line properties. + * :func:`matplotlib.axes.Axes`, which is the core object in matplotlib. + * :func:`matplotlib.pyplot.gca` to get the current Axes instance. """ - - # Check input + # Check basic input + ut.check_ax(ax=ax, accept_none=True) if ax is None: ax = plt.gca() - list_cat = check_cats(list_cat=list_cat, dict_color=dict_color, labels=labels) - args_float = {"y": y, "x": x, "lw": lw, "labelspacing": labelspacing, - "columnspacing": columnspacing} - for key in args_float: - ut.check_number_val(name=key, val=args_float[key], just_int=False) - ut.check_number_range(name="ncol", val=ncol, min_val=1, just_int=True, accept_none=True) + + ut.check_bool(name="remove_current_legend", val=remove_legend) ut.check_bool(name="return_handles", val=return_handles) ut.check_bool(name="title_align_left", val=title_align_left) + ut.check_bool(name="loc_out", val=loc_out) - # TODO check other args - # Generate legend items if not provided - if not handles and dict_color and list_cat: - handles = [_create_marker(dict_color[cat], cat, shape, lw, edgecolor) for cat in list_cat] + ut.check_number_range(name="ncol", val=ncol, min_val=1, accept_none=True, just_int=True) + args_float = {"labelspacing": labelspacing, "columnspacing": columnspacing, + "handletextpad": handletextpad, "handlelength": handlelength, + "fontsize": fontsize, "fontsize_legend": fontsize_title, + "lw": lw, "marker_size": marker_size} + for key in args_float: + ut.check_number_val(name=key, val=args_float[key], accept_none=True, just_int=False) + check_x_y(x=x, y=y) - # Return handles and labels if required - if return_handles: - return handles, labels if labels else list_cat - # Set up legend properties - labels = labels or list_cat - args = dict(prop={"weight": weight, "size": fontsize}, **kwargs) - if fontsize_legend: - args["title_fontproperties"] = {"weight": fontsize_weight, "size": fontsize_legend} + # Set y an x if legend should be outside + if loc_out: + x = x if x is not None else 0 + y = y if y is not None else -0.25 + + # Universal Legend Arguments + args = dict(loc=loc, + ncol=ncol, + fontsize=fontsize, + labelspacing=labelspacing, + columnspacing=columnspacing, + handletextpad=handletextpad, + handlelength=handlelength, + borderpad=0, # Fractional whitespace inside the legend border. + title=title, + edgecolor=edgecolor, + prop={"weight": weight, "size": fontsize}) + args.update(kwargs) + if fontsize_title: + args["title_fontproperties"] = {"weight": fontsize_weight, "size": fontsize_title} + if x is not None and y is not None: + args["bbox_to_anchor"] = (x, y) + + # Use default plt.legend if no dict_color provided + if dict_color is None: + plt.legend(handles=handles, labels=labels, **args) + return ax + + # Check if legend exists + if remove_legend: + if ax.get_legend() is not None and len(ax.get_legend().get_lines()) > 0: + ax.legend_.remove() + + # Adjust and check dict_colors and all arguments depending on it + list_cat = check_dict_colors(list_cat=list_cat, dict_color=dict_color, labels=labels) + marker = check_marker(marker=marker, list_cat=list_cat, lw=lw) + marker_linestyle = check_linestyle(marker_linestyle=marker_linestyle, list_cat=list_cat) + + # Generate legend items if not provided using dict_cat and list_cat + if not handles and dict_color and list_cat: + handles = [_create_marker(dict_color[cat], cat, marker[i], marker_size, lw, edgecolor, marker_linestyle[i]) + for i, cat in enumerate(list_cat)] + labels = list_cat if labels is None else labels # Create the legend - legend = ax.legend(handles=handles, labels=labels, bbox_to_anchor=(x, y), ncol=ncol, loc=loc, - labelspacing=labelspacing, columnspacing=columnspacing, borderpad=0, **args, title=title) + legend = ax.legend(handles=handles, labels=labels, **args) + # Align title if needed if title_align_left: legend._legend_box.align = "left" - return ax + + if return_handles: + return handles, labels if labels else list_cat + else: + return ax diff --git a/aaanalysis/utils.py b/aaanalysis/utils.py index 05a6b9bd..7731b4ce 100644 --- a/aaanalysis/utils.py +++ b/aaanalysis/utils.py @@ -11,6 +11,7 @@ from aaanalysis._utils._utils_check import (check_number_range, check_number_val, check_str, check_bool, check_dict, check_tuple, + check_ax, check_feat_matrix, check_col_in_df) from aaanalysis._utils._utils_output import (print_red, print_start_progress, print_progress, print_finished_progress) from aaanalysis._utils.utils_aaclust import (check_model, check_min_th, check_merge_metric, diff --git a/docs/build/doctrees/api.doctree b/docs/build/doctrees/api.doctree index 9320b6cdb4642167d4a25b2ed3b3d0e670f79f2f..125f540648aa4391fc797e105e348c3714130302 100644 GIT binary patch delta 83 zcmV-Z0IdJq(E-5G0R(^rm9?=1usjIt0RR9B3JMC7kXRU#)I5^2Z#@{v?MXvz`3n*J*c(e0H=^@!+9hm?C delta 123 zcmX?bk@3z&MwSNFsTVi0Y_Q?@%E-XL1q71~-GnC>IIvE>Vlzn~BQY-}C$(5dK~GOF zRud>$;I6uPlI<(D$=v*+lk0<7C;xWQn7q%0n;oihay-BE_t~2t9XhbJg O=qNztH(z&qsR#g2gDdd> diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle index 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