Add decimator support for chart mode="none"

[arcanaxion]

Description Chart mode="none" is useful for stacked area charts, as shown in the docs. It would be great if decimators could be used with this mode.

Also, it seems that decimators do not recompute on zoom for mode="lines".

from taipy.gui import Gui
from taipy.gui.data import MinMaxDecimator
import pandas as pd
import numpy as np

N_OUT = 200
decimator = MinMaxDecimator(n_out=N_OUT, threshold=N_OUT)

n = 5000
df = pd.DataFrame({
    # "date": pd.date_range("2020-01-01", periods=n),
    "date": np.arange(n),
    "a": np.sin(np.linspace(0, 100, n)),
    "b": np.sin(np.linspace(0, 100, n)),
    "c": np.sin(np.linspace(0, 100, n)),
})
df1 = df
df2 = df
df3 = df

properties = {
    "x": "date",
    "y": ["a", "b", "c"],
    "decimator[1]": "decimator",
    "decimator[2]": "decimator",
    "decimator[3]": "decimator",
    "options": dict(stackgroup="first_group", fill="tonexty"),
}

page = """
<|{df1}|chart|properties=properties|mode=lines+markers|>

<|{df2}|chart|properties=properties|mode=lines|>

<|{df3}|chart|properties=properties|mode=none|>
"""

def on_change(state, var_name, var_value):
    print(var_name, type(var_value), var_value)

Gui(page).run(use_reloader=True)

Acceptance Criteria

• [ ] Ensure new code is unit tested, and check code coverage is at least 90%
• [ ] Propagate any change on the demos and run all of them to ensure there is no breaking change
• [ ] Ensure any change is well documented

[jrobinAV]

@dinhlongviolin1, you self-assigned this ticket. Should you move it to the sprint backlog? What are the priorities and the estimates?

[jrobinAV]

@dinhlongviolin1 If we want to implement it, we need to have a sampling algorithm working on all dimensions of the dataset.

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