Data set examples

Basic example

Source code :

# -*- coding: utf-8 -*-

import guidata
import guidata.dataset as gds

# Note: the following line is not required if a QApplication has already been created
_app = guidata.qapplication()


class Processing(gds.DataSet):
    """Example"""

    a = gds.FloatItem("Parameter #1", default=2.3)
    b = gds.IntItem("Parameter #2", min=0, max=10, default=5)
    type = gds.ChoiceItem("Processing algorithm", ("type 1", "type 2", "type 3"))


param = Processing()
param.edit()
print(param)  # Showing param contents
param.b = 4  # Modifying item value
param.view()

# Alternative way for creating a DataSet instance:
param = Processing.create(a=7.323, b=4)
print(param)

Other examples

A lot of examples are available in the guidata test module

from guidata import tests
tests.run()

The two lines above execute the guidata test launcher :

All guidata items demo

import atexit
import datetime
import shutil
import tempfile

import numpy as np

import guidata.dataset as gds
from guidata.env import execenv
from guidata.qthelpers import qt_app_context

# Creating temporary files and registering cleanup functions
TEMPDIR = tempfile.mkdtemp(prefix="test_")
atexit.register(shutil.rmtree, TEMPDIR)
FILE_ETA = tempfile.NamedTemporaryFile(suffix=".eta", dir=TEMPDIR)
atexit.register(FILE_ETA.close)
FILE_CSV = tempfile.NamedTemporaryFile(suffix=".csv", dir=TEMPDIR)
atexit.register(FILE_CSV.close)


class Parameters(gds.DataSet):
    """
    DataSet test
    The following text is the DataSet 'comment': <br>Plain text or
    <b>rich text<sup>2</sup></b> are both supported,
    as well as special characters (α, β, γ, δ, ...)
    """

    dir = gds.DirectoryItem("Directory", TEMPDIR)
    fname = gds.FileOpenItem("Open file", ("csv", "eta"), FILE_CSV.name)
    fnames = gds.FilesOpenItem("Open files", "csv", FILE_CSV.name)
    fname_s = gds.FileSaveItem("Save file", "eta", FILE_ETA.name)
    string = gds.StringItem("String")
    text = gds.TextItem("Text")
    float_slider = gds.FloatItem(
        "Float (with slider)", default=0.5, min=0, max=1, step=0.01, slider=True
    )
    integer = gds.IntItem("Integer", default=5, min=3, max=16, slider=True).set_pos(
        col=1
    )
    dtime = gds.DateTimeItem("Date/time", default=datetime.datetime(2010, 10, 10))
    date = gds.DateItem("Date", default=datetime.date(2010, 10, 10)).set_pos(col=1)
    bool1 = gds.BoolItem("Boolean option without label")
    bool2 = gds.BoolItem("Boolean option with label", "Label")
    _bg = gds.BeginGroup("A sub group")
    color = gds.ColorItem("Color", default="red")
    choice = gds.ChoiceItem(
        "Single choice 1",
        [("16", "first choice"), ("32", "second choice"), ("64", "third choice")],
    )
    mchoice2 = gds.ImageChoiceItem(
        "Single choice 2",
        [
            ("rect", "first choice", "gif.png"),
            ("ell", "second choice", "txt.png"),
            ("qcq", "third choice", "file.png"),
        ],
    )
    _eg = gds.EndGroup("A sub group")
    floatarray = gds.FloatArrayItem(
        "Float array", default=np.ones((50, 5), float), format=" %.2e "
    ).set_pos(col=1)
    mchoice3 = gds.MultipleChoiceItem(
        "MC type 1", [str(i) for i in range(12)]
    ).horizontal(4)
    mchoice1 = (
        gds.MultipleChoiceItem(
            "MC type 2", ["first choice", "second choice", "third choice"]
        )
        .vertical(1)
        .set_pos(col=1)
    )
    dictionary = gds.DictItem(
        "Dictionary",
        default={
            "lkl": 2,
            "tototo": 3,
            "zzzz": "lklk",
            "bool": True,
            "float": 1.234,
            "list": [1, 2.5, 3, "str", False, 5, {"lkl": 2, "l": [1, 2, 3]}],
        },
        help="This is a dictionary",
    )


def test_all_items():
    """Test all DataItem objects"""
    with qt_app_context():
        prm = Parameters()

        prm.floatarray[:, 0] = np.linspace(-5, 5, 50)
        execenv.print(prm)
        if prm.edit():
            execenv.print(prm)
        prm.view()
        execenv.print("OK")


if __name__ == "__main__":
    test_all_items()

All (GUI-related) guidata features demo

import atexit
import shutil
import tempfile

import numpy as np

import guidata.dataset as gds
from guidata.dataset.qtitemwidgets import DataSetWidget
from guidata.dataset.qtwidgets import DataSetEditLayout, DataSetShowLayout
from guidata.env import execenv
from guidata.qthelpers import qt_app_context

# Creating temporary files and registering cleanup functions
TEMPDIR = tempfile.mkdtemp(prefix="test_")
atexit.register(shutil.rmtree, TEMPDIR)
FILE_ETA = tempfile.NamedTemporaryFile(suffix=".eta", dir=TEMPDIR)
atexit.register(FILE_ETA.close)
FILE_CSV = tempfile.NamedTemporaryFile(suffix=".csv", dir=TEMPDIR)
atexit.register(FILE_CSV.close)


class SubDataSet(gds.DataSet):
    dir = gds.DirectoryItem("Directory", TEMPDIR)
    fname = gds.FileOpenItem("Single file (open)", ("csv", "eta"), FILE_CSV.name)
    fnames = gds.FilesOpenItem("Multiple files", "csv", FILE_CSV.name)
    fname_s = gds.FileSaveItem("Single file (save)", "eta", FILE_ETA.name)


class SubDataSetWidget(DataSetWidget):
    klass = SubDataSet


class SubDataSetItem(gds.ObjectItem):
    klass = SubDataSet


DataSetEditLayout.register(SubDataSetItem, SubDataSetWidget)
DataSetShowLayout.register(SubDataSetItem, SubDataSetWidget)


class Parameters(gds.DataSet):
    """
    DataSet test
    The following text is the DataSet 'comment': <br>Plain text or
    <b>rich text<sup>2</sup></b> are both supported,
    as well as special characters (α, β, γ, δ, ...)
    """

    dict_ = gds.DictItem(
        "dict_item",
        {
            "strings_col": ["a", "b", "c"],
            "_col": [1, 2.0, 3],
            "float_col": 1.0,
        },
    )
    string = gds.StringItem("String")
    string_regexp = gds.StringItem("String", regexp=r"^[a-z]+[0-9]$", default="abcd9")
    password = gds.StringItem("Password", password=True)
    text = gds.TextItem("Text")
    _bg = gds.BeginGroup("A sub group")
    float_slider = gds.FloatItem(
        "Float (with slider)", default=0.5, min=0, max=1, step=0.01, slider=True
    )
    fl1 = gds.FloatItem(
        "Current", default=10.0, min=1, max=30, unit="mA", help="Threshold current"
    )
    fl2 = gds.FloatItem("Float (col=1)", default=1.0, min=1, max=1).set_pos(col=1)
    fl3 = gds.FloatItem("Not checked float").set_prop("data", check_value=False)
    bool1 = gds.BoolItem("Boolean option without label")
    bool2 = gds.BoolItem("Boolean option with label", "Label").set_pos(col=1, colspan=2)
    color = gds.ColorItem("Color", default="red")
    choice1 = gds.ChoiceItem(
        "Single choice (radio)",
        [(16, "first choice"), (32, "second choice"), (64, "third choice")],
        radio=True,
    ).set_pos(col=1, colspan=2)
    choice2 = gds.ChoiceItem(
        "Single choice (combo)",
        [(16, "first choice"), (32, "second choice"), (64, "third choice")],
    ).set_pos(col=1, colspan=2)
    _eg = gds.EndGroup("A sub group")
    floatarray = gds.FloatArrayItem(
        "Float array", default=np.ones((50, 5), float), format=" %.2e "
    ).set_pos(col=1)
    g0 = gds.BeginTabGroup("group")
    mchoice1 = gds.MultipleChoiceItem(
        "MC type 1", ["first choice", "second choice", "third choice"]
    ).vertical(2)
    mchoice2 = (
        gds.ImageChoiceItem(
            "MC type 2",
            [
                ("rect", "first choice", "gif.png"),
                ("ell", "second choice", "txt.png"),
                ("qcq", "third choice", "html.png"),
            ],
        )
        .set_pos(col=1)
        .set_prop("display", icon="file.png")
        .set_prop("display", size=(32, 32))
    )
    mchoice3 = gds.MultipleChoiceItem(
        "MC type 3", [str(i) for i in range(10)]
    ).horizontal(2)
    eg0 = gds.EndTabGroup("group")
    integer_slider = gds.IntItem(
        "Integer (with slider)", default=5, min=-50, max=50, slider=True
    )
    integer = gds.IntItem("Integer", default=5, min=3, max=6).set_pos(col=1)


def test_all_features():
    """Test all guidata item/group features"""
    with qt_app_context():
        prm1 = Parameters()
        prm1.floatarray[:, 0] = np.linspace(-5, 5, 50)
        execenv.print(prm1)

        if prm1.edit():
            prm1.edit()
            execenv.print(prm1)
        prm1.view()

        prm2 = Parameters.create(integer=10101010, string="Using create class method")
        print(prm2)

        execenv.print("OK")


if __name__ == "__main__":
    test_all_features()

Embedding guidata objects in GUI layouts

import numpy as np
from qtpy.QtWidgets import QMainWindow, QSplitter

import guidata.dataset as gds
from guidata.configtools import get_icon
from guidata.dataset.qtwidgets import DataSetEditGroupBox, DataSetShowGroupBox
from guidata.env import execenv
from guidata.qthelpers import (
    add_actions,
    create_action,
    get_std_icon,
    qt_app_context,
    win32_fix_title_bar_background,
)
from guidata.tests.dataset.test_activable_dataset import Parameters
from guidata.widgets import about


class AnotherDataSet(gds.DataSet):
    """
    Example 2
    <b>Simple dataset example</b>
    """

    param0 = gds.ChoiceItem("Choice", ["deazdazk", "aeazee", "87575757"])
    param1 = gds.FloatItem("Foobar 1", default=0, min=0)
    a_group = gds.BeginGroup("A group")
    param2 = gds.FloatItem("Foobar 2", default=0.93)
    param3 = gds.FloatItem("Foobar 3", default=123)
    _a_group = gds.EndGroup("A group")


class ExampleMultiGroupDataSet(gds.DataSet):
    """Example DS with multiple groups"""

    choices = gds.MultipleChoiceItem("Choices", ["a", "b", "c", "d", "e"])
    dictionary = gds.DictItem("Dictionary", {"a": 1, "b": 2, "c": 3})
    param0 = gds.ChoiceItem("Choice", ["deazdazk", "aeazee", "87575757"])
    param1 = gds.FloatItem("Foobar 1", default=0, min=0)
    t_group = gds.BeginTabGroup("T group")
    a_group = gds.BeginGroup("A group")
    param2 = gds.FloatItem("Foobar 2", default=0.93)
    dir1 = gds.DirectoryItem("Directory 1")
    file1 = gds.FileOpenItem("File 1")
    _a_group = gds.EndGroup("A group")
    b_group = gds.BeginGroup("B group")
    param3 = gds.FloatItem("Foobar 3", default=123)
    param4 = gds.BoolItem("Boolean")
    _b_group = gds.EndGroup("B group")
    c_group = gds.BeginGroup("C group")
    param5 = gds.FloatItem("Foobar 4", default=250)
    param6 = gds.DateItem("Date").set_prop("display", format="dd.MM.yyyy")
    param7 = gds.ColorItem("Color")
    _c_group = gds.EndGroup("C group")
    _t_group = gds.EndTabGroup("T group")


class OtherDataSet(gds.DataSet):
    """Another example dataset"""

    title = gds.StringItem("Title", default="Title")
    icon = gds.ChoiceItem(
        "Icon",
        (
            ("python.png", "Python"),
            ("guidata.svg", "guidata"),
            ("settings.png", "Settings"),
        ),
    )
    opacity = gds.FloatItem("Opacity", default=1.0, min=0.1, max=1)
    transform = gds.FloatArrayItem("Transform", default=np.array([1, 2, 3, 4, 5, 6]))


class MainWindow(QMainWindow):
    """Main window"""

    def __init__(self):
        QMainWindow.__init__(self)
        win32_fix_title_bar_background(self)
        self.setWindowIcon(get_icon("python.png"))
        self.setWindowTitle("Application example")

        # Instantiate dataset-related widgets:
        self.groupbox1 = DataSetShowGroupBox(
            "Activable dataset", Parameters, comment=""
        )
        self.groupbox2 = DataSetShowGroupBox(
            "Standard dataset", AnotherDataSet, comment=""
        )
        self.groupbox3 = DataSetEditGroupBox(
            "Standard dataset", OtherDataSet, comment=""
        )
        self.groupbox4 = DataSetEditGroupBox(
            "Standard dataset", ExampleMultiGroupDataSet, comment=""
        )
        self.groupbox3.SIG_APPLY_BUTTON_CLICKED.connect(self.update_window)
        self.update_groupboxes()

        splitter = QSplitter(self)
        splitter.addWidget(self.groupbox1)
        splitter.addWidget(self.groupbox2)
        splitter.addWidget(self.groupbox3)
        splitter.addWidget(self.groupbox4)
        self.setCentralWidget(splitter)
        self.setContentsMargins(10, 5, 10, 5)

        # File menu
        file_menu = self.menuBar().addMenu("File")
        quit_action = create_action(
            self,
            "Quit",
            shortcut="Ctrl+Q",
            icon=get_std_icon("DialogCloseButton"),
            tip="Quit application",
            triggered=self.close,
        )
        add_actions(file_menu, (quit_action,))

        # Edit menu
        edit_menu = self.menuBar().addMenu("Edit")
        editparam1_action = create_action(
            self, "Edit dataset 1", triggered=self.edit_dataset1
        )
        editparam2_action = create_action(
            self, "Edit dataset 2", triggered=self.edit_dataset2
        )
        editparam4_action = create_action(
            self, "Edit dataset 4", triggered=self.edit_dataset4
        )
        ro_param4_action = create_action(
            self, "Dataset 4: read-only", toggled=self.ro_dataset4
        )
        add_actions(
            edit_menu,
            (editparam1_action, editparam2_action, editparam4_action, ro_param4_action),
        )

        # ? menu
        help_menu = self.menuBar().addMenu("?")
        about_action = create_action(
            self,
            "About guidata",
            icon=get_std_icon("MessageBoxInformation"),
            triggered=about.show_about_dialog,
        )
        add_actions(help_menu, (about_action,))

    def update_window(self):
        """Update window"""
        dataset = self.groupbox3.dataset
        self.setWindowTitle(dataset.title)
        self.setWindowIcon(get_icon(dataset.icon))
        self.setWindowOpacity(dataset.opacity)

    def update_groupboxes(self):
        """Update groupboxes"""
        self.groupbox1.dataset.set_activable(False)  # This is an activable dataset
        self.groupbox1.get()
        self.groupbox2.get()
        self.groupbox4.get()

    def ro_dataset4(self, readonly: bool):
        self.groupbox4.dataset.set_readonly(readonly)
        self.groupbox4.get()

    def edit_dataset1(self):
        """Edit dataset 1"""
        self.groupbox1.dataset.set_activable(True)  # This is an activable dataset
        if self.groupbox1.dataset.edit(self):
            self.update_groupboxes()

    def edit_dataset2(self):
        """Edit dataset 2"""
        if self.groupbox2.dataset.edit(self):
            self.update_groupboxes()

    def edit_dataset4(self):
        """Edit dataset 4"""
        if self.groupbox4.dataset.edit(self):
            self.update_groupboxes()


def test_editgroupbox():
    """Test editgroupbox"""
    with qt_app_context(exec_loop=True):
        window = MainWindow()
        window.show()
        execenv.print("OK")


if __name__ == "__main__":
    test_editgroupbox()

Data item groups and group selection

import guidata.dataset as gds
from guidata.env import execenv
from guidata.qthelpers import qt_app_context

prop1 = gds.ValueProp(False)
prop2 = gds.ValueProp(False)


class Parameters(gds.DataSet):
    """
    Group selection test
    <b>Group selection example:</b>
    """

    g1 = gds.BeginGroup("group 1")
    enable1 = gds.BoolItem(
        "Enable parameter set #1",
        help="If disabled, the following parameters will be ignored",
        default=False,
    ).set_prop("display", store=prop1)
    prm11 = gds.FloatItem("Prm 1.1", default=0, min=0).set_prop("display", active=prop1)
    prm12 = gds.FloatItem("Prm 1.2", default=0.93).set_prop("display", active=prop1)
    _g1 = gds.EndGroup("group 1")
    g2 = gds.BeginGroup("group 2")
    enable2 = gds.BoolItem(
        "Enable parameter set #2",
        help="If disabled, the following parameters will be ignored",
        default=True,
    ).set_prop("display", store=prop2)
    prm21 = gds.FloatItem("Prm 2.1", default=0, min=0).set_prop("display", active=prop2)
    prm22 = gds.FloatItem("Prm 2.2", default=0.93).set_prop("display", active=prop2)
    _g2 = gds.EndGroup("group 2")


def test_bool_selector():
    """Test bool selector"""
    with qt_app_context():
        prm = Parameters()
        prm.edit()
        execenv.print(prm)
        execenv.print("OK")


if __name__ == "__main__":
    test_bool_selector()

Activable data sets

class Parameters(gds.ActivableDataSet):
    """
    Example
    <b>Activable dataset example</b>
    """

    def __init__(self, title=None, comment=None, icon=""):
        gds.ActivableDataSet.__init__(self, title, comment, icon)

    enable = gds.BoolItem(
        "Enable parameter set",
        help="If disabled, the following parameters will be ignored",
        default=False,
    )
    param0 = gds.ChoiceItem("Param 0", ["choice #1", "choice #2", "choice #3"])
    param1 = gds.FloatItem("Param 1", default=0, min=0)
    param2 = gds.FloatItem("Param 2", default=0.93)
    color = gds.ColorItem("Color", default="red")


Parameters.active_setup()


def test_activable_dataset():
    """Test activable dataset"""
    with qt_app_context():
        prm = Parameters()
        prm.set_activable(True)
        prm.edit()
        prm.set_activable(False)
        prm.edit()
        prm.set_readonly()
        prm.edit()
        prm.set_readonly(False)
        prm.edit()
        execenv.print("OK")


if __name__ == "__main__":
    test_activable_dataset()

Data set groups

from guidata.dataset import DataSetGroup
from guidata.env import execenv
from guidata.qthelpers import qt_app_context
from guidata.tests.dataset.test_all_features import Parameters


def test_dataset_group():
    """Test DataSetGroup"""
    with qt_app_context():
        e1 = Parameters("DataSet #1")
        e2 = Parameters("DataSet #2")

        g = DataSetGroup([e1, e2], title="Parameters group")
        g.edit()
        execenv.print(e1)
        g.edit()
        execenv.print("OK")

        g = DataSetGroup([e1, e2], title="Parameters group in table mode")
        g.edit(mode="table")
        execenv.print(e1)
        g.edit()
        execenv.print("OK")

        g.edit()
        execenv.print(e1)
        g.edit()
        execenv.print("OK")


if __name__ == "__main__":
    test_dataset_group()

Utilities

Update/restore a dataset from/to a dictionary

import numpy as np

from guidata.dataset.conv import restore_dataset, update_dataset
from guidata.tests.dataset.test_all_items import Parameters


def test_update_restore_dataset():
    """Test update/restore dataset from/to another dataset or dictionary"""
    dataset = Parameters()
    dsdict = {
        "integer": 1,
        "float_slider": 1.0,
        "bool1": True,
        "string": "test",
        "floatarray": np.array([1, 2, 3]),
        "dictionary": {"a": 1, "b": 2},
    }
    # Update dataset from dictionary
    update_dataset(dataset, dsdict)
    # Check dataset values
    assert dataset.integer == dsdict["integer"]
    assert dataset.float_slider == dsdict["float_slider"]
    assert dataset.bool1 == dsdict["bool1"]
    assert dataset.string == dsdict["string"]
    assert np.all(dataset.floatarray == dsdict["floatarray"])
    assert dataset.dictionary == dsdict["dictionary"]
    # Update dataset from another dataset
    dataset2 = Parameters()
    update_dataset(dataset2, dataset)
    # Check dataset values
    assert dataset2.integer == dataset.integer
    assert dataset2.float_slider == dataset.float_slider
    assert dataset2.bool1 == dataset.bool1
    assert dataset2.string == dataset.string
    assert np.all(dataset2.floatarray == dataset.floatarray)
    assert dataset2.dictionary == dataset.dictionary
    # Restore dataset from dictionary
    restore_dataset(dataset, dsdict)
    # Check dataset values
    assert dataset.integer == dsdict["integer"]
    assert dataset.float_slider == dsdict["float_slider"]
    assert dataset.bool1 == dsdict["bool1"]
    assert dataset.string == dsdict["string"]
    assert np.all(dataset.floatarray == dsdict["floatarray"])
    assert dataset.dictionary == dsdict["dictionary"]


if __name__ == "__main__":
    test_update_restore_dataset()

Create a dataset class from a function signature

from __future__ import annotations

import numpy as np

from guidata.dataset import create_dataset_from_func
from guidata.env import execenv


def func_ok(
    a: int, b: float, c: str = "test", d: dict[str, int] = {"x": 1, "y": 3}
) -> None:
    """A function with type annotations"""
    pass


def func_no_type(a, b, c="test"):
    """A function without type annotations"""
    pass


def func_no_default(a: int, b: float, c: str, data: np.ndarray) -> None:
    """A function without default values"""
    pass


def test_dataset_from_func():
    """Test generate dataset class from function"""
    for func in (func_ok, func_no_default):
        execenv.print(func.__name__)
        dataset = create_dataset_from_func(func)
        execenv.print(dataset)
        execenv.print(dataset.create(a=1, b=2.0))
        execenv.print("")
    func = func_no_type
    try:
        create_dataset_from_func(func)
        assert False, "Should have raised a ValueError"
    except ValueError:
        # This is expected
        pass


if __name__ == "__main__":
    test_dataset_from_func()

Create a dataset class from a function dictionary

import numpy as np

from guidata.dataset import create_dataset_from_dict
from guidata.env import execenv

TEST_DICT1 = {
    "a": 1,
    "b": 2.0,
    "c": "test",
    "d": {"x": 1, "y": 3},
    "data": np.array([1, 2, 3]),
}
TEST_DICT2 = {
    "a": 1,
    "unsupported": [2.0, 3.0],
}


def test_dataset_from_dict():
    """Test generate dataset class from a dictionary"""
    for dictionary in (TEST_DICT1,):
        execenv.print(dictionary)
        dataset = create_dataset_from_dict(dictionary)
        execenv.print(dataset)
        execenv.print(dataset.create())
        execenv.print("")
    try:
        create_dataset_from_dict(TEST_DICT2)
        assert False, "Should have raised a ValueError"
    except ValueError:
        # This is expected
        pass


if __name__ == "__main__":
    test_dataset_from_dict()

Data set HDF5 serialization/deserialization

import os

from guidata.dataset.io import HDF5Reader, HDF5Writer
from guidata.env import execenv
from guidata.qthelpers import qt_app_context
from guidata.tests.dataset.test_all_items import Parameters


def test_loadsave_hdf5():
    """Test HDF5 I/O"""
    fname = "test.h5"
    with qt_app_context():
        if os.path.exists(fname):
            os.unlink(fname)

        e = Parameters()
        if execenv.unattended or e.edit():
            writer = HDF5Writer(fname)
            e.serialize(writer)
            writer.close()

            e = Parameters()
            reader = HDF5Reader(fname)
            e.deserialize(reader)
            reader.close()
            e.edit()
            os.unlink(fname)
        execenv.print("OK")


if __name__ == "__main__":
    test_loadsave_hdf5()

Data set JSON serialization/deserialization

import os

from guidata.dataset.io import JSONReader, JSONWriter
from guidata.env import execenv
from guidata.qthelpers import qt_app_context
from guidata.tests.dataset.test_all_items import Parameters


def test_loadsave_json():
    """Test JSON I/O"""
    fname = "test.json"
    with qt_app_context():
        if os.path.exists(fname):
            os.unlink(fname)

        e = Parameters()
        if execenv.unattended or e.edit():
            writer = JSONWriter(fname)
            e.serialize(writer)
            writer.save()

            e = Parameters()
            reader = JSONReader(fname)
            e.deserialize(reader)
            e.edit()
            os.unlink(fname)
        execenv.print("OK")


if __name__ == "__main__":
    test_loadsave_json()