Problem with pan and zoom in X Axis

[marcos-mv]

Hi. I'm using Nextjs with chartjs-zoom-plugin 1.2.1 and facing a problem when using the zoom and pan when the mode is 'xy'. Only the 'y' works normally, but when I add the 'x' axis and execute the zoom or pan command it only shows two points and the 'x' axis shows only the first value. The dataset is being parsed in the format as image below shows.

• This is a video with the problem.

Screencast.from.09-09-2022.01.19.29.webm

const options = {
    type: "line",
    bezierCurve: false,
    parsing: { xAxisKey: 'data', yAxisKey: 'valor' },
    elements: {
      line: {
        tension: 0.1,
        fill: true
      }
    },
    plugins: {
      zoom: {
          zoom: {
              wheel: {
                  enabled: true,
              },
              mode: 'xy'
          },
          pan: {
              enabled: true,
              mode: 'xy'
          }
      },
  },
  }

Complete code.

import React, { useEffect, useState, useCallback, useRef } from 'react';
import {
  Chart as ChartJS,
  CategoryScale,
  LinearScale,
  PointElement,
  LineElement,
  Title,
  Tooltip,
  Legend,

} from 'chart.js';

import { FiDownload } from 'react-icons/fi';

import { CSVLink } from "react-csv";

import { Line } from 'react-chartjs-2';

import { Box, IconButton, Image, Stack } from "@chakra-ui/react";

import zoomPlugin from "chartjs-plugin-zoom";

import { postAllData } from "../../api/api";

ChartJS.register(
  zoomPlugin,
  CategoryScale,
  LinearScale,
  PointElement,
  LineElement,
  Title,
  Tooltip,
  Legend
);

function getRandomColor() {
  var letters = '0123456789ABCDEF';
  var color = '#';
  for (var i = 0; i < 6; i++) {
    color += letters[Math.floor(Math.random() * 16)];
  }
  return color;
}

export default function Graph({ dataForm }: any) {

  const ref = useRef();
  const [listaVariaveis, setListaVariaveis] = useState([{}]);
  const [listaDados, setListaDados] = useState([{}]);


  useEffect(() => {
    const geraDadosGraficos = async () => {
      let listaRecebida = [];
      let listaDados = [];

      for (let i = 0; i < dataForm.variavel.length; i++) {
        let response;

        const bodyRequest = {
          variavel: dataForm.variavel[i],
          intervalo: dataForm.intervalo,
          startDate: dataForm.startDate,
          endDate: dataForm.endDate,
          granularity: dataForm.granularity
        };

        if (dataForm.intervalo !== 5) {
          response = await postAllData("filteredByPeriod", bodyRequest)
        } else {
          response = await postAllData("filtered", bodyRequest)
        }

        const dados = response.variavels.map((element: any) => { return {nome: dataForm.variavel[i], data: element.date, valor: Number(element.valor) } })
        const dataset = {
          label: dataForm.variavel[i],
          data: dados,
          lineTension: 0.5,
          backgroundColor: `${getRandomColor()}`,
        }

        //for-of para gerar os dados para o csv
        for (const element of dados) {
          listaDados.push([element.nome, element.data, element.valor]);
        }

        listaRecebida.push(dataset);

      }
      setListaVariaveis(listaRecebida);
      setListaDados(listaDados);
    }

    geraDadosGraficos()
  }, [dataForm])

  const data = {
    datasets: listaVariaveis,
  };
  console.log(data);
  const downloadImage = useCallback(() => {
    const link = document.createElement("a");
    link.download = "chart.png";
    link.href = ref.current.toBase64Image();
    link.click();
  }, []);


  const plugin = {
    beforeDraw: (chartCtx) => {
      const ctx = chartCtx.canvas.getContext('2d');
      ctx.save();
      ctx.globalCompositeOperation = 'destination-over';
      ctx.fillStyle = 'white';
      ctx.fillRect(0, 0, chartCtx.width, chartCtx.height);
      ctx.restore();
    }
  };

  const options = {
    type: "line",
    bezierCurve: false,
    parsing: { xAxisKey: 'data', yAxisKey: 'valor' },
    elements: {
      line: {
        tension: 0.1,
        fill: true
      }
    },
    plugins: {
      zoom: {
          zoom: {
              wheel: {
                  enabled: true,
              },
              mode: 'xy'
          },
          pan: {
              enabled: true,
              mode: 'xy'
          }
      },
  },
  }

  const getFileName = () => {
    let d = new Date();
    let dformat = d.toLocaleString('pt-BR').replace(/\D/g, "");
    return `${dformat}`;
  }



  return (

    <Box height="400px" w="100%">
      <Line plugins={[plugin]} ref={ref} className='Grafico' data={data} options={options} />
      <Stack borderRadius="5px" border="1px" p="5px" marginTop="1.5rem" direction='row' spacing={5}>
        <Box as='button'
          borderColor="#FFFFFF"
          border="1px"
          borderRadius='md'
          w='40px'
          h='40px'
          _hover={{ bg: "#b3b3cc"}}
          placeholder='Download'
          onClick={downloadImage}
        >
          <Image
            objectFit='cover' id='screenshot-icon' src='images/screenshot-icon.svg' />
        </Box>

          <CSVLink
            data={listaDados || []}
            filename={getFileName()}
            target="_blank"
            separator={";"}>
            <IconButton
              aria-label='download'
              borderColor="#000000"
              border="1px"
              _hover={{ bg: "#b3b3cc"}}
              size="md"
              icon={<FiDownload />}
              variant='outline'
            />
          </CSVLink>
      </Stack>
    </Box>
  );
};

• Image with my dataset format.

Does anyone have any suggestions on how I can resolve this issue? Thanks.

[TexPowerDat]

I had the same issue and managed to resolve it. Inside of options I had to add scales and then specify the type as linear like below.

[seikosantana]

Can confirm this works with latest react-chart-js and ChartJs

[NisuSan]

I got the "Error: "linear" is not a registered scale." error, when try your solution. Can you provide mere infirmation, please?

[TexPowerDat]

I got the "Error: "linear" is not a registered scale." error, when try your solution. Can you provide mere infirmation, please?

It's been a while but essentially the issue was I needed to set a scale type because the default scale type was incompatible with the data I was passing in. I would suggest starting with your scale type and go from there.