How can I work with small values on Y-axis, like 0.00001500 #426
Comments
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Those are really small values which I didn’t tested for. |
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@junedchhipa Thanks These are usual values for cryptocurrency. This feature will allow to create charts for cryptocurrency courses. |
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Thanks a lot. But I've found a new problem. Sometimes a candle goes outside the area.
Try this data [[1553250600000,[0.20419999999999999,0.2051,0.20399999999999999,0.2041]],[1553252400000,[0.2041,0.20419999999999999,0.20349999999999999,0.2039]],[1553254200000,[0.2039,0.20419999999999999,0.20330000000000001,0.20399999999999999]],[1553256000000,[0.2041,0.20549999999999999,0.20349999999999999,0.20480000000000001]],[1553257800000,[0.20469999999999999,0.20519999999999999,0.2031,0.20430000000000001]],[1553259600000,[0.20430000000000001,0.20569999999999999,0.2039,0.20469999999999999]],[1553261400000,[0.2046,0.20530000000000001,0.20369999999999999,0.20369999999999999]],[1553263200000,[0.20369999999999999,0.2049,0.20230000000000001,0.2044]],[1553265000000,[0.2044,0.20549999999999999,0.2039,0.2051]],[1553266800000,[0.20499999999999999,0.20699999999999999,0.20469999999999999,0.20680000000000001]],[1553268600000,[0.20680000000000001,0.20730000000000001,0.2059,0.20710000000000001]],[1553270400000,[0.20710000000000001,0.20860000000000001,0.2056,0.20699999999999999]],[1553272200000,[0.20699999999999999,0.2072,0.20630000000000001,0.20699999999999999]],[1553274000000,[0.2069,0.20830000000000001,0.20660000000000001,0.20780000000000001]],[1553275800000,[0.20780000000000001,0.20830000000000001,0.2069,0.2072]],[1553277600000,[0.2072,0.2074,0.20660000000000001,0.2069]],[1553279400000,[0.20699999999999999,0.20710000000000001,0.20619999999999999,0.20619999999999999]],[1553281200000,[0.20630000000000001,0.2072,0.20580000000000001,0.20649999999999999]],[1553283000000,[0.20660000000000001,0.20699999999999999,0.20549999999999999,0.20630000000000001]],[1553284800000,[0.20619999999999999,0.20669999999999999,0.20569999999999999,0.20660000000000001]],[1553286600000,[0.2064,0.2074,0.20599999999999999,0.20699999999999999]],[1553288400000,[0.20699999999999999,0.20799999999999999,0.20649999999999999,0.2072]],[1553290200000,[0.20699999999999999,0.20730000000000001,0.20599999999999999,0.20630000000000001]],[1553292000000,[0.20630000000000001,0.2069,0.2054,0.2059]],[1553293800000,[0.2059,0.20619999999999999,0.20519999999999999,0.20599999999999999]],[1553295600000,[0.20610000000000001,0.20630000000000001,0.20530000000000001,0.20549999999999999]],[1553297400000,[0.2054,0.2064,0.2054,0.2054]],[1553299200000,[0.2054,0.2059,0.2026,0.20280000000000001]],[1553301000000,[0.20280000000000001,0.2039,0.20250000000000001,0.20349999999999999]],[1553302800000,[0.2036,0.20399999999999999,0.20300000000000001,0.20349999999999999]],[1553304600000,[0.20369999999999999,0.20530000000000001,0.20349999999999999,0.20469999999999999]],[1553306400000,[0.20480000000000001,0.20519999999999999,0.20399999999999999,0.20499999999999999]],[1553308200000,[0.20519999999999999,0.20530000000000001,0.2031,0.2034]],[1553310000000,[0.2034,0.20369999999999999,0.19589999999999999,0.19989999999999999]],[1553311800000,[0.1996,0.20119999999999999,0.19839999999999999,0.20080000000000001]],[1553313600000,[0.20080000000000001,0.20200000000000001,0.19980000000000001,0.20080000000000001]],[1553315400000,[0.20100000000000001,0.20150000000000001,0.19939999999999999,0.2001]],[1553317200000,[0.20019999999999999,0.20130000000000001,0.19989999999999999,0.20119999999999999]],[1553319000000,[0.20119999999999999,0.20280000000000001,0.2011,0.20230000000000001]],[1553320800000,[0.20219999999999999,0.2024,0.19969999999999999,0.2011]],[1553322600000,[0.2011,0.20300000000000001,0.20080000000000001,0.2024]],[1553324400000,[0.2024,0.2026,0.2011,0.2016]],[1553326200000,[0.2019,0.20280000000000001,0.2016,0.2026]],[1553328000000,[0.2026,0.20300000000000001,0.20219999999999999,0.2024]],[1553329800000,[0.2024,0.2026,0.2019,0.20250000000000001]],[1553331600000,[0.20250000000000001,0.2026,0.2016,0.2016]],[1553333400000,[0.2016,0.20200000000000001,0.2014,0.2019]],[1553335200000,[0.2019,0.20200000000000001,0.19850000000000001,0.20069999999999999]],[1553337000000,[0.2006,0.2014,0.20000000000000001,0.20130000000000001]],[1553338800000,[0.20130000000000001,0.20130000000000001,0.2011,0.20130000000000001]]] |
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the same problem on other graph Area Charts > Datetime X-Axis my data: |
…arts#426 looks fine without it.
…arts#426 looks fine without it.
early due to cumulative precision errors in JS float representations. This is also the root cause of issue apexcharts#430, allowing the removal of the previous fix. Add NetBeans IDE config and ignore private resources. Exclude line and area chart from +/-5% range expansion that is applied to accommodate box and candlestick elements. Remove the unnecessary range expansion because the cited issue apexcharts#426 looks fine without it. Remove code from previous fixes for the following issues, as the examples provided with those issues display correctly with recent commits: Previous fix for issue apexcharts#492 is obsolete, possibly following commit #4562468 that fixed cases where the Y axis missed including the uppermost tick due to JS precision errors. NetBeans config, including to allow node.js builds from within NB. If the user defines options that are consistent amongst themselves, don't adjust them, apply them as-is. In computing the provisional nice step size, set magMsd to integer subdivisions of 10, i.e. magPow*[1,2,5,10], eliminating ugly values that are magPow*[3,4,6,7,8,9]. This can be overridden by setting stepSize and setting forceNiceScale: true. If the given stepSize is bigger than the range, or impractically small and resulting in excessive ticks, apply it after normalizing it the chart order of magnitude and checking again for consistency. E.g. if the range = 0.4 and user sets stepSize: 8 (or 8000 or 0.0008), then stepSize is obviously disproportionate and impractical. Normalize it to 0.08 or 0.008 depending on tickAmount etc. Root Cause Fix: getminYmaxY() not determining chart min and max according to series type, thus returning incorrect values. For example, e2e test "candlestick/candlestick-line.html" has chart.type "line" while the two series' have types "line" and "candlestick" respectively. The candlestick data min/max was being determined as for a "line" series. Modified unit tests: Brought into line with changes introduced in the current branch to prevent trivial failure reports. New sample to verify duplicate label removal by formatter. All working except for brush-charts, which are experimental and don't call niceScale yet. Add utility functions: getGCD() - return GCD of two numbers (not used in this version) getPrimeFactors() - return all prime factors of an integer mod() - a mod b: to overcome precision errors Reduce ticks nicely as chart size is reduced, if options allow. Multi series/multi yaxis charts: attempt to use consistent tickAmounts so they line up. Per series options override may override this. Adjust some tickAmount values in e2e samples now that users should expect to see that many ticks. Set default ticks back to 10. A default of 5 has the following undesirable effects: Most charts work with base 10 numbers, and 10/5=2, which tends to produce tick spacings of 0.2, 2, 20, etc. This tends to visually bunch graphs toward the centre of the axis range, leaving more of the chart area unused. Having 10 as the default reverses this tendency, bringing data points closer to the extremities of the range. defaults.js: remove the default tickAmount = 6 for polarArea charts. Let niceScale determine it if not user defined. radar-with-polygom-fill.xml: remove user defined tickAmount = 7. Let niceScale() determine it, otherwise 7 ticks are what will be drawn, which will produce a sub-optimal chart for the sample data.
Hello friends
I have got some problem with the charts.
Data array:
[[1553258700000,["0.00376920","0.00377250","0.00376560","0.00377210"]],[1553259000000,["0.00377210","0.00378620","0.00377180","0.00378140"]],[1553259300000,["0.00378140","0.00378260","0.00377190","0.00378020"]],[1553259600000,["0.00378020","0.00378660","0.00377520","0.00378520"]],[1553259900000,["0.00378500","0.00379520","0.00378290","0.00379490"]],[1553260200000,["0.00379490","0.00379760","0.00377910","0.00378170"]],[1553260500000,["0.00377980","0.00378630","0.00377690","0.00378250"]],[1553260800000,["0.00378260","0.00378450","0.00377110","0.00377970"]],[1553261100000,["0.00377900","0.00379910","0.00377900","0.00379900"]],[1553261400000,["0.00379900","0.00379920","0.00378880","0.00379600"]],[1553261700000,["0.00379590","0.00379680","0.00379080","0.00379340"]],[1553262000000,["0.00379340","0.00380000","0.00379200","0.00379600"]],[1553262300000,["0.00379690","0.00380090","0.00379270","0.00379980"]],[1553262600000,["0.00379900","0.00380240","0.00379200","0.00379210"]],[1553262900000,["0.00379210","0.00379390","0.00375610","0.00376010"]]]
You can see that very small values!
And it looks like this https://i.imgur.com/Qb5iI3I.png
I have tried to change a lot of options.
The last one:
max: 0.0001
forceNiceScale: true
tickAmount: 8
decimalsInFloat: 8
Could somebody help me?
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