我想了解如何在 holoviews 1.12.7 版本中实现此代码。我在折旧版本中完成了

Question

我想了解如何使用 holoviews 1.12.7 版本来实现此代码。我正在使用折旧版本。这是我运行的示例代码

Chromosome = hv.Dimension('chromosome', unit='-', range=(AxesDF.loc['Min','Chr'],AxesDF.loc['Max','Chr']))
TraitIndex = hv.Dimension('trait index', unit='-', range=(AxesDF.loc['Min','Trait'],AxesDF.loc['Max','Trait']))
pP = hv.Dimension(r'$\mathsf{-log(p-value)}$', unit='-', range=(AxesDF.loc['Min','pP'],AxesDF.loc['Max','pP']))

SPlot_pP_Ch = holoviews.DFrame(GWASummaryStatisticsDF[['MHPos','pP-value']], dimensions={'MHPos':Chromosome,'pP-value':pP})

SPlot_Trait_Chr = holoviews.DFrame(GWASummaryStatisticsDF[['MHPos','TraitIndex','pP-value']],dimensions={'MHPos':Chromosome,'TraitIndex':TraitIndex,'pP-value':pP})

SPlot_Trait_Chr_pP = holoviews.DFrame(GWASummaryStatisticsDF[['MHPos','TraitIndex','pP-value']],dimensions={'MHPos':Chromosome,'TraitIndex':TraitIndex,'pP-value':pP})  

### Plots to Visualise: holoviews Scatter plots ##
### Example of Dataset in ***GWASummaryStatisticsDF dataframe*** ###
        MHPos   pP-value    TraitIndex
0   1.012324e+09    8.664141    1
1   1.738541e+09    7.485851    1
2   1.738436e+09    27.525929   1
3   1.738463e+09    56.837436   1
4   1.011689e+09    7.582362    1

Answer 1

好的，下面是一个如何创建带有全息视图的散点图的小示例。如果这与您拥有或需要的不同，请尝试在您的问题中尽可能清楚地解释您的数据是什么样的以及您在寻找什么。

.DFrame() 方法不存在，这就是您收到错误消息的原因。

# import libraries
import numpy as np
import pandas as pd

import holoviews as hv
hv.extension('bokeh')

# create example data
df = pd.DataFrame({
    'chromosome': np.random.rand(10),
    'trait_index': np.random.rand(10),
})

# create scatter plot
scatter_plot = hv.Scatter(
    data=df,
    kdims=['chromosome'],
    vdims=['trait_index'],
)

scatter_plot