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see in the shared example, the boxes are not centered. the are holding space for the other series.
Current Behavior
for each boxplot series, the chart holds a space in each grid column.
Expected Behavior
If a datasetIndex is used, I'D expect to use the complete space of the grid column like scatter points are doing it.
Also it would be good to use the complete grid for the selected categories in the legend, if not all are selected.
Environment
- OS: Win 11
- Browser: Chrome
- Framework: Vue3
Any additional comments?
No response
The text was updated successfully, but these errors were encountered:
echarts-botbot
changed the title
[Bug] boxplots are holding space for multiple series, while each series has a datasetIndex
[Bug] boxplots are holding space for multiple series, while each series has a datasetIndex
May 8, 2024
Current Behavior: for each boxplot series, the chart holds a space in each grid (X-category) column.
yes, correct, space is reserved because boxplots have horizontal width, unlike scatter points.
I think you found a good workaround with visualMap in #19911.
Version
5.5.0
Link to Minimal Reproduction
https://echarts.apache.org/examples/en/editor.html?code=PYBwLglsB2AEC8sDesCwAoWXYBMCGYeAzgKZgBcsA2httkrXdjhALYnRFSeU2ZN0A5AGUSAD0EAaRgKyCAktADGAVwBGBblJmyReViAA2JWPIAi2_rNh6Dx2ADl9JS9bkBBNWoBOJAG4QBCQ4sML6RiZO7K5uthGwACoAniAu0la6AGIQ9qJgjs4x1oKePv6BYMGw2blkBdHpbjYAMsAA7iTesG0AFhBEANadRboATACsAKSwAI4qeNCQxiMCggCywYHQK0yCAOxTs_OLOWk6qwCqIKldvf1D3jtCAPrAakQAtNCFjbIAur8BERgCpvEoSLxzkw-E05AAzEisPDLQGxACMAAYMbBWBBtqjihjggAWEgADjwcI-ADYAMx7WkfYlqOF4D54MlkkgfcZovD80YY2njDHjMlPXYARQAogAFNHPYQgCBDRTPUa0jEATjRxOeCtp0AA5uq9trdc9aWSeaMJUJhGi7dhBABhGBgbzAQxOuSZNGUGXyxXK1XQdWanV6g3G03mvVWm0-mx-pPjAB0ozRe11tOpWrFDKtowJsmpGepxMzdIx1LRtOJaNGxPGJYEZfGey11Ir9L2ZOJZPpxNbTDLWrJ-dFIonnMx1JHdDJaZrXeFaPXmOJGImC-dDqdAKhdBhsMECKRKKPu0x2Nx-KvQi1SlGJGJ1JIVPHe25xKUSjZeCjHgOAfHslJojg4xwnC4wvrau5yIGCpKiqJBqhqcbPHqew8jGoxmpGlrWrBd5JiItJkWEdhnBkxSZLSAZyshIZoWGGGEdhuEmvhmEJiReJkfRqZpmi4xaoK4ywaM0m0miWpaghsBloKozyWKOoYgyWLFg-2DtrqknUhixK0rSGFiYpY5ZvJowThq45answ66VgexpquwpmV21JmqMPmKeRB67ieTSCBeNGwjYN44gJAWyeMOAkNS4zEh8JDBOMTLaR8GhwkoNJkhicI4Go-HrnsahkUhwaoehEYWqMlp4QRFp8aMpEBcI8EuTYbqLJ63oBZkoyMUGKGhuGmGNYa3EtfGxHtbFPWCMNwnSTWDbSd2ZLjN2aKWRmtJapq3balqxLEns1I6bRpZprtm1kvhewSeVB2OeM9JyZJVr1k9ilLppDJkuu0kTjqTmdd1t10IeMPYCFsThWR0UdcttJKDgcIYnJVJKMSWoYkyHKjB8WpwvJPJwmoJCUmBtI4BMVVMTVE3sRa4zPDh4zNbxC1o_D9rEpR4SXoLzqZMSo3MbVbH1XqnPc7zhFtQLkUrcLinppmqnXTqwqcqpZIHX5515v2labo2B0dluxkTkDvJdu9x2NoTtZGapmkA8u3b0iKtm1i9ZmdZrulw9YEdMAAviWDDwyw7CcNwRCQuLIjiE6CjKOomgwFnVHxOYBei5EPy6SUXi-AEQQhIX9hRBFsT1yYySpFnNQmHk9RN8UpTVxUVSd6EdSNwXJBzBw4JZ34yIqL3uivO8Xzl_DUdAiCYIQtQumI8U57IgvxSo0t4tyESOCkhSVJ0gyTIsgBnLcry_KAUKIpiszY0sXVmHRrNfNEydUdAFPqHovSCX9LAaq41WKTUIv_WMKsFqQLIgANXkLKaUzQHAAHEADSSYly5h8uJN8n1CpHWNstfcu516yD3roA-Yt1Yn3vGfGwF8r6UhpPSRkzJWTsifjyPkAp36inFAFGBP85Z_yagA5BQCaEgOWmAgakDpaszgezKM8ikGtRQUNFRHDBDNGENg5oAAlIhIlzqE00mbXawoWzKKCrvZazCj66DYWRLh5IeG334Q_IRXIRGv0FMKCRX8ZZs3lvqPRPFFGwUosY9WaiIFGM0bA3-CCElzSIkokxKYArSnkAkdwzR3CymEAkNYhCfb-x2kKC2YM6TALceLRhqxPEoyxDFdh6s_HX14XfARj9QkvzEZEz-UiWbZNkbkma-j5qFPVrQ1R7p1GZOgXMmR8CLSIMSQY1Zp5inLUlAkNB7g0G4IwfUnqS4TL2J2rWNEnJRQ3TWaktw9CBBdN2D0gKPiApDICXw--giOQTNEW_aZkjzm7Nlvs3RSyjkrOSe00BmyMnLT9FkvZOj4movyW1VBAUqnyHkNchI1ifbSS9rqHy306SfNPOs8WvzoQeMRIfXpt5T6DJJP4m-4KxkhOfjCiJH94UmOkUiwlhySWGNcVi_qOKilQLlbEuRxLAEYtxd80KCQqWygqWg4Q9yOFLh1pWMSeZZKqXEpi8OwVuXIyBX0tWp5QUitGcEqFErwniJmQi7-8q4mKr1dDL5ZF0mDQNfi8NOrlbHP1RqsiAAJXB0o0EulNbggA6vg2UuDhBmGNcWswaDJSWsioDNSL1BwYjJEyiszqOWupMYC5awLlo-pGUEyFwjJmwuldErROSDl5KjSk2N2L40asTdqxZKb0XRtOYa5uLoHAumaHu2tsIlyYkzIVbMgoXrHRcSY9lTROXHjdbyj1_KBneqFcMwJELxmBqmWO2ZYbl1Tt1Uk9doUb2njjRonZ_7tERuncBsly1mjmulMIMtaDmiygPU0I9BMOzak5P2MUNZ223s7erbtJje0mKfC-N8H4yZkm_EyP8AEgIgTAnCCCUEYJwXHfM5FWEuZcWWQU_iL7QMUU6qXQSDEoMxJg5hTiPMFGpsWuJ2IQkApmIsbSh5vt-zNv7NdMSzZaSdUky69xXaeUsNPFR9WNHXzvk_Ixn8LH2RsdAuBSC0FYIkBA7ELVCmOJCeUyJ1WAq2UWevdJoasmguTr1Ep1dom1MybIqU8plTqm1Kw24Yhl0szUhbcVt50k9jmY6U0f5QgKOsM9ZF0Kjm6MuaY7-f8HngJec4z5nj_m-MEricllTa6vUSZFtRGTS7gsWmG-F_mjWNPRfVhSqlaCaU2N1E2Fl25ZLannDQ5bPyyOnjq3Zhr6nijNecwxtr7nAJdY41x3zvG_3ycS4JpWI3Utjebkd0DsXcXxcRQBpLoWUsRcu1kf7sRjVVLNRamxflGO_TzDmWs1Dr0w4EHehGD7bOhXs6ea79GvxuY6w99j3nuN-YC8UBLCzZvg--5Dyi2PdAtym3JidjOwdffmzaX7dF2erHcOUtBaxZRmFwZKTIeXrCA0bDWXaDjjJmWcljqrbgavOndT2i7ZF4qJWSqldKkEsrbhypSfKxWiolTKlmSqb2ecCemhDhbUPVhdTnWqhd6thrTY-27lnHvBJ090NpvdumrUiVOo5LEpkjrxShlr6wOu5B68owbuKoljcpTShlC3pNco28KsVUq2ZHcDaTYRYPAuxOUXD6sCDQ0Rrc_44SuvaKfuLbok33YmWKlVJqXUmxa4cacg7OOFKTqaH96wLjrA6ebCZ_q8-w3uekr57N5lO2xfrcFTtxX8qTvQ3vd5-qODqmhcc_n86FvuK28M9d1f0bvesh38Qs0eQNy0EOHl7INaslPmPWFuJqLbBVnPqngwstKvuduvjnglFvqboXnvlbnlIfuXg7hVNXqDpfkBtfu_l7p_r1POmHoHhfl3kqoLkQbsKtOSmYNLpYrKJkLKJKHckjhWGiHSLmFdBMCDBrmsnfovjvCYnAYTtnujJvibgXubmgSXpgfbpXjgc7h3nElQVGjfsQT7uAn7qck_iDjNnqBocBloXQSQQoLgrgvILgpcrKDctHnWmmD2GJKZMlJiJ2OOCnnQidqFOIeiJISYkbsgbIbvtlAobblgcoafrKoYUHq_j3p7rsN7qqroeQe3oNlNAkazq3mRPIAWmYM0NKAQkmMSGmP2IxsVp4TqA9FekIdAX8rAY-vrggejJjNjLjB8PjITMTE9GTBTFqFTDTHTHgAzEzKoZkYRIrMJt3jkTQmHDFpNkNFLBkTXhzMzvXmlssegmgoUWsO4BmvsRatKGPvmIxvJEZDjMKM2KHA0VymIc0Vnq0UEe0TjOTF0QTETMSCTP0ZTFBMMXCPTIzOMLgUYc8NMWFrMaHrcVJksbiisc_oShCe7jQUkUIJLGRO4IwbgswawewfIAAQINamKIbCKEZN2LyJAdegsaRlZurP4cfIEerBjFjG8XjJ8b0aTOTH8dTLTICaMcCaCR9siSHqiZRDSWyoDkUgiXERfiKZsWYeiRKaFGYMIA4A4M0LuhmpkA4LKI4bCOmNuJyKZAOOOBjoxjCZZmvCWLHFCPHNYInBwFwDAKnKIaBpnLuNnKoBoJAPnJ6S3KYBYP6aXD3FnP3OULXKECGWPMGdRIkCkF4uiacCPPkDGRXOGTXJUCEMPN3GmenK0B0LcH0IMMMJ6RMNMHMAsEsImc6BsCwAsFnAcBWccNWVnFcDcN0MWQ8FnEvJ8N8A0FeLjsCKCOCLwJyrabdPabII6cnC6WnO6RIJ6YoN6XnGiTYAGcXLGfEHmaFBmYPHXNGavADnGW3DWb6MmbmUebEHuZGTmaPFecUKIJPMoGeTYLPIYPPD2W8H2Q-UwEOZvKOdQOOXHFeDOc6TwG6c3B6RXMubnL6WuXEPYJuRXAGTudeVXBGVmVGXGWhY-SGaeR3BefeQOenDeVhXeamb-asAWZ0J2fcKWRXOWUcFWacFnHWVsI2YcJWScATroO2bRXcCWY8J6b2SvCRZHCOMOVvGOTaSBQnGwE6SnPOVBYuTBTnD6VoFuUhUGShYeeJehWUJmVUKhVRckfhQmYRbUJRfpX3BhUZdmURdZa-RnM-dPJ6e-Z-SJd-WJTWf-SOdvFQMBXaaBQpbORBTrhnKpenLBRpX6bpXGchenCZTZboGRcZXpc5QGQRZ6RRaGZ6WlQ5VZXlRXDRUWfRcJYxVxS2axZ6exQ2Z6U2cxTxc5fxWVUJV-cvP2b5ZJQBQFXSadjZq-XIHbP0ijF4EdIKNSDyDgF2EyNjFSIBEoNaBBAcF4CyCQGiCQEoEKRfnsPqBiCiQ3p1CCbCREIJOMBQQJntZiIdVsbiidT1NrLZClBdKZIxiDLWCbM9WaOriKI2JdDbKpBdNmNuMep9FSZFGOGZM2vWLZE2LmKZIpG5I5GaHWCjppJ5ApDQg9R2v1aFGdqFCNYqc6E2GoM2OMHgGoF0YzIMc2CZOyNBIyDgNSFjH-GoJ9ITDKurIiRGhiPqJCdQUdTQnsBNmdUNHsJdQqnzaJLdcTb6CLVrBmKbMZHWATOJL9CbC9N2BdBbFaBDbCO2IxhqHJFaF2OuNuC7NmA2BWNJHJGpHUYesuNmGZHsJ4Srk5JjmsgrVadVk0bxcUETbQUIOCNmGaIxjSK-D-H5mTFiFTSZk5NTD5EoLyDtQJmSPtbLUHXuNSKLf7VkNSJLXEunTdaKULUUjnYrVtKJJ2AcMac2AdhwspC9F7F2DqE2GKKyk0IbTjNtiZJWKpK7e9IbGbSaXrcRnpkKOaIxmAZQsVp1BXT7drn7UNTYIHWuXIDgLSICX2KZF0ZiGiEyDtKTHgHyFTWTfWMZNSHlEoGBKnQqgqDLaXXddelzZKXCUUmSIXX_A_QLZoVnb6K_U0OmJqEKE5M2jqMAVdA7V3YdBOM2J2A2HWFPtA24O2FuP2CpLBJtGKO9E8ldIOG-IKA2J7Y7ViLqHbVaLyLbFjS_XcQvrJcFfJUnOBa6RFaIFFaFDFauSXAlTpUlRlWGXZfudhduaZfaOZe3DlY5cVaRUI7edI7hRzhPPPC-TPHPM5aJV1RKH5dJZBWnvjivYIGvWNWoBNTWNNbNcSPNR5ktR8CteMGtQiJtdtRMWsdhBnU_XLeuTjWslKf7hdasXgddQdZ4__cmD46eBglgjgiUQ0tZDeB9EKFuPraBhExJXjbEATbEMY0CuNeJOYwlJY9Y4tctTgKtV4E41tXfXEsE5nevd47nYY5kAEzzZhLU6E_UytGk7EJHlYptvFBdBdMZpWG2tjXQ3jtZgyboDkz2nk5NRY1NVY0VDY6U-U-tc49U20x4wqWEyIN03he_f41_YRO0zs5080xlmUkPjlqPg0lJDxG8m-PmOuMdeM0vgY2RDM5RnMwUzNYs8U6MLY_Y44xtVU640E9s1CWKa86dXnasM08cxaKc1C2Xf41VN_r_v_ptgTPhBdFg7qIxig4-fs3-b4Zk4NZ80yXZj81NYU_88syU3Y2Uw4xU6Cy42fi7oSsi4Lc_WsiS17n46ci07KVdZCzy1410xlgAJoyjNBrAOBoKElMDI1mldj4SgHPNEsc78vYAiHL5ngUsBRfOsI0sLNzUMuAurMsvrNgsctqFbMl1nOUQ6viOHNCuIvuOOsou8tCsZbCBSvCBoJStBtKuLjljJR5hiSwTHRmZjM-EZP7yGvLTGvUumP5O0t_PmsLWWtMtrOVPsuxHQYfbct_2dPCAut7iCuhQIuBNgklumG7MXMBRoK7FysHFHH4InENJTjaiZhyRnQagwuL36MPFwu7ApuhSb3b2DiMhKD72H2wTsin05R92X3X233gtgnrj811OUSAPNxVsaaf21sfbbuP1OtDT7vFAFrCAFpWHCDNBZrCDVLyAZrCBYlS6WL6lNBlGlZcEUn1hUKdRXuksJu6BTOrATuxBTuu0zt704wLvH3Lvn1bhvjrt4CbMII_27vAeNOCTHutNYc7sdP4dkSlpmCSjuCUoJB9OK0OL5j2Qii5i8ixu0PxudLL2UvPHqwwc72zvzsDiLsn2U0rsX1od_gbt2uTEHLYcke4ewtNMEciv33EcXu4ogerDShrBmCWLSg0fmBXLftuBlEfVbh5hkM-TGQ0NrIae6sjhBUZD0LGBGgcA4CUAoDADeAQAcAUA2A9CecQAABe7oyIUgsAYAoAlAmosAE5dAYg7gYg_Q7nUIRARgEAYAzQeI28KARA_nbQlAHo88MXJYXVlAgg35nQs88FRAOwYACZZX_4lQRonnSQIwsX2ASQCXSXyAUIXVrQjX3AZXuIOAOAedpXNghgwARomIAAFJTSoNAPgC-QAJRteoikBeckCsOMPWB1epBldqDABiBGDABgASgQBuc2CHdiBbfsiLcfCCUPBEBE4CBTzACJTJfixiBleaNiMdfKWhSlV0XtUBRMXcWtkBR1WdONXg81XLStXA_dnsfWDtcCDjeCAvdMD4CECkBgCKCJTfewAYgMOTlXh7fbyCBECNeVAVXwwXdlcghgCGDefeDPdUsCDY_EBkD4_iCUD7RXhvcfc9dfc_feVaO7hJBlceU1mo9MDo-Y9YCy9YBTkCDk8HdHcndncjj09XdHe3cLAgSPedBECCjceyCC_Ze6SE-CC_cpUCCS96M9PtACVdkMUmJg_VVjtCBQ9kQw-e-GMI9G-0-0nwxK_YDo-m-jUjic-488-E-d3YBh8q9MBq82BU8EA0_neXflcqBM8s8m_s9Y8EBc94-Le8-wCsfWAW-fdNDW-2-vkO-CDS8Shh9YAR-F-K9yW7f1e6_HeTda9Xg6-CDXf6_3dB9EAgNR8C_KDveW8i82D19OgO_6tA9B9kQe8sVe-1mbD1XLR--b8B_XAu_lXjOt-wDo-T9mEx_c9l-E-CExxd-yCp-U_U9u_WBD-M_M_G-X-0HX-l8E-UAtWWAavsL1r6i9Oqf3LAI32b4jgz-F_DvsVx25P8e-w_DXv3yz7q8bunwA3g91d6s8oOdAEAcnwEB18xekA2AMv0QzO82qSPZaBv2apkQfeAUffgwICiB88Bp_EcOjwIHMBi-sfW_pQAboCAk-ZPFAenzACZ9te2fT_vnx4FYA_-cfSgCkyYBECre4An8nbyYDQD1GLfLgc4DK48DZeUcaOAAG4gAA
Steps to Reproduce
see in the shared example, the boxes are not centered. the are holding space for the other series.
Current Behavior
for each boxplot series, the chart holds a space in each grid column.
Expected Behavior
If a datasetIndex is used, I'D expect to use the complete space of the grid column like scatter points are doing it.
Also it would be good to use the complete grid for the selected categories in the legend, if not all are selected.
Environment
Any additional comments?
No response
The text was updated successfully, but these errors were encountered: