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Posted to commits@echarts.apache.org by GitBox <gi...@apache.org> on 2021/08/19 04:03:12 UTC

[GitHub] [echarts] NiantongDong opened a new issue #15558: Display negative value in Logarithmic axis

NiantongDong opened a new issue #15558:
URL: https://github.com/apache/echarts/issues/15558


   ### What problem does this feature solve?
   In real life, we can find some value that may break the limit of logarithmic value. In the current version, we cannot show any value in the log axis which is negative
   
   ### What does the proposed API look like?
   axis.min: negative
   
   <!-- This issue is generated by echarts-issue-helper. DO NOT REMOVE -->
   <!-- This issue is in English. DO NOT REMOVE -->


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[GitHub] [echarts] 100pah commented on issue #15558: Display negative value in Logarithmic axis

Posted by GitBox <gi...@apache.org>.
100pah commented on issue #15558:
URL: https://github.com/apache/echarts/issues/15558#issuecomment-904007638


   What the graph like do you expect when the value is negative on logarithmic axis?


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[GitHub] [echarts] echarts-bot[bot] commented on issue #15558: Display negative value in Logarithmic axis

Posted by GitBox <gi...@apache.org>.
echarts-bot[bot] commented on issue #15558:
URL: https://github.com/apache/echarts/issues/15558#issuecomment-901591522


   Hi! We've received your issue and please be patient to get responded. 🎉
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[GitHub] [echarts] NiantongDong commented on issue #15558: Display negative value in Logarithmic axis

Posted by GitBox <gi...@apache.org>.
NiantongDong commented on issue #15558:
URL: https://github.com/apache/echarts/issues/15558#issuecomment-904022244


   What I want to do is to use the log1p y-axis to represent the certain stock return rate. The rate may be negative and keep going down. If I use type 'log' in echarts, it will not show any value less than 0.  If I use type 'value', the graph is incorrect. The idea is that the rate is calculated by Math.log1p(x) and the y-axis value should also be calculated Math.exp(y) so that it can show the correct plot for each value. Here is an example graph I generated using Juptyer and matplotlib.
   ![download](https://user-images.githubusercontent.com/34298280/130501060-8533352a-31cc-4f3e-81e3-b736d9e3e9f9.png)
   


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