什么'；HoloViews Python代码中的VDIM有什么问题？

下面的代码产生一个错误

display(df_top5_frac.head())

以下是错误：

---

错误原因：
vdim应该是您希望在y轴上显示的列的名称，但列名称“分数”不存在，因此您会得到错误。

这里有一个可能的解决方案：
当您将小时设置为索引时，您可以指定：

kdim='hour'

和

vdim='blocked\u driveway'

，但在这种情况下，您并不真正需要它们，可以将它们省略：

%opts Overlay [width=800 height=600 legend_position='top_right'] Curve

hv.Curve((df_top5_frac['Blocked Driveway'])      , kdims = ['Hour'], vdims = ['Fraction'], label = 'Blocked Driveway') *\
hv.Curve((df_top5_frac['HEAT/HOT WATER'])        , kdims = ['Hour'], vdims = ['Fraction'], label = 'HEAT/HOT WATER') *\
hv.Curve((df_top5_frac['Illegal Parking'])       , kdims = ['Hour'], vdims = ['Fraction'], label = 'Illegal Parking') *\
hv.Curve((df_top5_frac['Street Condition'])      , kdims = ['Hour'], vdims = ['Fraction'], label = 'Street Condition') *\
hv.Curve((df_top5_frac['Street Light Condition']), kdims = ['Hour'], vdims = ['Fraction'], label = 'Street Light Condition')

替代和较短的解决方案：
但在这种情况下，我将使用构建在HoloView之上的库。
它具有更简单的语法，并且您需要更少的代码来获得所需的绘图：

# import libraries
import numpy as np
import pandas as pd
import holoviews as hv
hv.extension('bokeh')

# create sample data
data = {'hour': ['00', '01', '02'],
        'blocked_driveway': np.random.uniform(size=3),
        'illegal_parking': np.random.uniform(size=3),
        'street_condition': np.random.uniform(size=3),}

# create dataframe and set hour as index
df = pd.DataFrame(data).set_index('hour')

# create curves: 
# in this case the index is automatically taken as kdim
# and the series variable, e.g. blocked_driveway is taken as vdim
plot1 = hv.Curve(df['blocked_driveway'], label='blocked_driveway')
plot2 = hv.Curve(df['illegal_parking'], label='illegal_parking')
plot3 = hv.Curve(df['street_condition'], label='street_condition')

# put plots together
(plot1 * plot2 * plot3).opts(legend_position='top', width=600, height=400)

结果图：

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还可以重新标记y轴过程

ylabel='Your custom label'

作为

方法或hvPlot调用的选项。
import hvplot.pandas

# you don't have to set hour as index this time, but you could if you'd want to.
df.hvplot.line(
    x='hour', 
    y=['blocked_driveway', 
       'illegal_parking',
       'street_condition'],
)