pyecharts两个散点图类型相同长度不同的x轴合并为一张散点图

pyecharts两个散点图类型相同长度不同的x轴合并为一张散点图

编程小白鼠还希望高人可以在代码上帮我调整。我会非常感谢。

1.最后图上展示效果 c_x轴对应c_y的数据，cc_x轴对应cc_y的数据

2.就像图上展示的那样 一个时间坐标对应一个标注点

from pyecharts import options as opts
from pyecharts.charts import Scatter

time_x =['2020-09-03 01:00:00', '2020-09-03 12:00:00', '2020-09-10 01:00:00', '2020-09-13 03:00:00', '2020-09-21 09:00:00', '2020-09-22 07:00:00', '2020-09-24 22:00:00']
# 共享x轴
c_x = ['2020-09-03 01:00:00',  '2020-09-13 03:00:00', '2020-09-21 09:00:00', '2020-09-22 07:00:00', ]
c_y = [[10],  [30], [36], [70], ]
cc_x = ['2020-09-03 12:00:00', '2020-09-10 01:00:00', '2020-09-24 22:00:00']
cc_y = [[66], [79], [90], ]

c = (
    Scatter(init_opts=opts.InitOpts(height='870px',width='860px'))
    .add_xaxis(c_x)
    .add_yaxis(
        "商家A",
            # c_y,
        [list(z) for z in zip(c_y, c_x)],
    )
    .set_global_opts()
)#=========================
cc = (
    Scatter()
    .add_xaxis(cc_x)
    .add_yaxis(
        "商家b",
        [list(z) for z in zip(cc_y, cc_x)],
    )
)
c.overlap(cc)
c.render("hebing_sandiantu.html")

数据长度需要和x轴长度一致

from pyecharts import options as opts
from pyecharts.charts import Scatter
import numpy as np
time_x =['2020-09-03 01:00:00', '2020-09-03 12:00:00', '2020-09-10 01:00:00', '2020-09-13 03:00:00', '2020-09-21 09:00:00', '2020-09-22 07:00:00', '2020-09-24 22:00:00']
c = (
    Scatter(init_opts=opts.InitOpts(height='870px',width='860px'))
    .add_xaxis(time_x)
    .add_yaxis(
        "商家A",
        [10,  np.nan,np.nan,30, 36, 70,np.nan ],
    )
    .add_yaxis(
        "商家b",
       [np.nan,66, 79, np.nan,np.nan,np.nan,90 ],
    ))
c.render("hebing_sandiantu.html")

那是碰到什么问题了呢

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