在角度7中，我想使用SVG外对象插入一些HTML代码。但是它不起作用。终端报告一个错误。角度无法识别HTML标签
<g id="peizhi" (click)="config()" style="width: 110px; height: 30px" transform="translate(181,0)">
<!-- <a (click)="config()" style="width: 110px;height: 30px">-->
<use xlink:href="#Rectangle" x="0" y="0"></use>
<text x="15" y="10" style="fill: rgba(245, 245, 245, 1);width: 24px;height: 27px;" font-size="12px">
配置
</text>
<polygon points="41 0, 47 0, 44 4" fill="rgba(216, 216, 216, 1)"/>
<foreignObject width="100" height="50"
requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility">
<!-- XHTML content goes here -->
<body xmlns="http://www.w3.org/1999/xhtml">
<p>Here is a paragraph that requires word wrap</p>
</body>
</foreignObject>
<!-- </a>-->
</g>
ERROR Error: Uncaught (in promise): Error: Template parse errors:
':svg:p' is not a known element:
1. If ':svg:p' is an Angular component, then verify that it is part of this module.
2. To allow any element add 'NO_ERRORS_SCHEMA' to the '@NgModule.schemas' of this component. (" <!-- XHTML content goes here -->
<body xmlns="http://www.w3.org/1999/xhtml">
[ERROR ->]<p>Here is a paragraph that requires word wrap</p>
</body>
</foreignObject>
"): ng:///OperateNavModule/EndmonitorNavComponent.html@49:8
':svg:body' is not a known element:
答案 0 :(得分：1)
<ng-template #nodeTemplate let-node>
<svg:g class="node">
<svg:foreignObject>
<div>Your HTML here</div>
</svg:foreignObject>
</svg:g>
</ng-template>
OR
<svg xmlns="http://www.w3.org/2000/svg" width="200px" height="100px">
<rect x="0" y="0" width="100%" height="100%" fill="yellow"/>
<foreignObject x="10" y="10" width="100px" height="50px" >
<xhtml:div xmlns="http://www.w3.org/1999/xhtml" style="background-color: aqua;">
foreign object
</xhtml:div>
</foreignObject>
</svg>
像这样，我们可以在角中使用foreigObject
答案 1 :(得分：0)
您需要将xhtml命名空间添加到段落中。像这样：
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.style.use('ggplot')
import seaborn as sns
data="""index,subject,treated_eye,visit_label,visit_date,bcva_OD,bcva_OS,refract_OD,refract_OS
108, 1101, OD, Visit 1 - Screening, 2016-01-07, 27.0, 41.0, + 5 + 0.75 X 27, + 5 + 1.75 X 45
115, 1101, OD, Visit 2 - Baseline, 2016-01-25, 35.0, 41.0, + 5 + 0.75 X 27, + 5.5 + 1.75 X 40
120, 1101, OD, Baseline - VA Session 2 ,2016-01-25, 35.0, 41.0, + 5 + 0.75 X 27, + 5.5 + 1.75 X 40
125, 1101, OD, Visit 4 - Day 1 ,2016-02-02, 32.0, 42.0, + 5 + 0.75 X 27, + 5 + 1.75 X 30
123, 1101, OD, Visit 5 - Day 7 ,2016-02-08, 40.0, 43.0, + 5 + 0.75 X 28, + 5 + 1.75 X 30
111, 1101, OD, Visit 6 - Day 14 ,2016-02-16,33.0, 44.0, + 5 + 0.75 X 27, + 5 + 1.75 X 40
124, 1101, OD, Unscheduled ,2016-02-24, 37.0, 44.0, + 4.5 + 1.25 X 30, + 5 + 1.75 X 40
118, 1101, OD, Visit 7 - Month 1 , 2016-02-29 , 37.0, 40.0, + 4.5 + 1.25 X 30, + 5 + 1.75 X 43
"""
## DataFrame cleanup
df=pd.read_csv(pd.compat.StringIO(data),sep=",",index_col=0)
df_obj = df.select_dtypes(['object'])
df[df_obj.columns] = df_obj.apply(lambda x: x.str.strip())
df['visit_date']=pd.to_datetime(df['visit_date'])
for subject, sub_df in df.groupby(by='subject'):
mask=(sub_df.visit_label == 'Visit 2 - Baseline')
bcva_OS_baseline=sub_df['bcva_OS'][mask].values
bcva_OD_baseline=sub_df['bcva_OD'][mask].values
fig,ax=plt.subplots()
# Plot fellow eye
ax.plot(sub_df['visit_date'], sub_df['bcva_OS'], marker='^',
label='OS (fellow) ', color=sns.xkcd_rgb['pale red'])
# Plot treated eye
ax.plot(sub_df['visit_date'], sub_df['bcva_OD'], marker='o',
label='OD (treated) ', color=sns.xkcd_rgb['denim blue'])
# Plot fellow eye
ax.plot_date(sub_df['visit_date'], sub_df['bcva_OS'],
marker='*', markersize=10,
label='BL (fellow) ', color=sns.xkcd_rgb['light pink'])
# Plot treated eye
ax.plot_date(sub_df['visit_date'], sub_df['bcva_OD'],
marker='*', markersize=10,
label='BL (treated) ', color=sns.xkcd_rgb['baby blue'])
# Plot baseline
ax.axhline(bcva_OS_baseline,color=sns.xkcd_rgb['pale red'],linestyle="dashed")
ax.axhline(bcva_OD_baseline,color=sns.xkcd_rgb['denim blue'],linestyle="dashed")
# Legend the old way
ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0)
# Display each chart separately
ax.set_title('subject {0}'.format(subject))
fig.autofmt_xdate()
plt.tight_layout()
plt.show()
您可以尝试here。