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import React, {useEffect, useRef, useState} from 'react';
import { Switch, Flex, Text } from '@chakra-ui/react';
import UplotReact from 'uplot-react';
import { toast } from 'react-toastify';
import 'uplot/dist/uPlot.min.css';


const colors = [
    '#007BFF',
    '#FFA62B', 

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import React from 'react';
import UplotReact from 'uplot-react';
import 'uplot/dist/uPlot.min.css';

export default function SelectBrushTimeSeries(props) {
    let data = [props.data[0], props.data[3]];
    let initXmin = props.data[0][0];
    let initXmax = props.data[0][Math.max(10, Math.floor(props.data[0].length / 10))];

    let series = [{},

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from typing import Union, Iterable

import numpy as np


# Linear Discriminant Analysis.
# Can be used for linear classification or supervised dimension reduction.
# Assumes same class covariances.
# Just binary implementation.
# Saves ordered transformation matrix.

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# Python 3.6.5.
# Numpy 1.16.0.
# Matplotlib 3.0.2.
import numpy as np
import matplotlib.pyplot as plt


def sortnode(val):
    return val[2]

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import numpy as np
import matplotlib.pyplot as plt


class DBSCAN(object):

    def __init__(self, radius=1.0, minpoints=50, tree=None):
        # Pass variables
        if tree is not None:
            self._tree = tree