results.map(attributes => "name:"+attributes(0)+","+"age:"+attributes(1).show()) <console>:30: error: value show is not a member of Any results.map(attributes => "name:"+attributes(0)+","+"age:"+attributes(1).show())
时间: 2023-11-29 19:05:42 浏览: 29
这个错误是因为你尝试在一个字符串中使用 `show()` 方法,而 `show()` 方法只能在 DataFrame 类型上使用,而不能在字符串类型上使用。你需要将 `show()` 方法调用放在 DataFrame 上,然后将结果转换为字符串,再与其他字符串拼接。
例如,假设你要将 `results` 中的每一行数据转换为一个字符串,包含姓名和年龄信息,可以使用以下代码:
```scala
val resultStrings = results.map(attributes => s"name: ${attributes(0)}, age: ${attributes(1)}")
resultStrings.foreach(println)
```
这里使用了字符串插值(string interpolation)语法,使用 `${}` 将表达式嵌入到字符串中,可以方便地将 DataFrame 中的数据转换为字符串。然后使用 `foreach` 方法将每个字符串打印出来,或者将它们写入文件等。
相关问题
怎么生成以下xml格式<Annotations MicronsPerPixel="0.252000"> <Annotation ...> <Attributes> ... </Attributes> <Regions> <RegionAttributeHeaders> ... </RegionAttributeHeaders> <Region Id="2" Type="0" Zoom="5" Selected="0" ImageLocation="" ImageFocus="0" Length="126.0" Area="1049.3" LengthMicrons="31.8" AreaMicrons="66.6" Text="" NegativeROA="0" InputRegionId="0" Analyze="1" DisplayId="2"> <Attributes/> <Vertices> <Vertex X="96.400000" Y="70.800000"/> <Vertex X="96.600000" Y="71"/> ... </Vertices> </Region> <Region Id="3" ..> ... </Region> ... </Regions> <Plots/> </Annotation> </Annotations>
你可以使用Python的ElementTree模块来生成以上的XML格式,具体代码如下:
```python
import xml.etree.ElementTree as ET
# 创建根节点
annotations = ET.Element("Annotations", MicronsPerPixel="0.252000")
# 创建子节点Annotation
annotation = ET.SubElement(annotations, "Annotation")
# 创建子节点Attributes
attributes = ET.SubElement(annotation, "Attributes")
# 创建子节点Regions
regions = ET.SubElement(annotation, "Regions")
# 创建子节点RegionAttributeHeaders
region_attribute_headers = ET.SubElement(regions, "RegionAttributeHeaders")
# 创建子节点Region
region = ET.SubElement(regions, "Region", Id="2", Type="0", Zoom="5", Selected="0",
ImageLocation="", ImageFocus="0", Length="126.0", Area="1049.3",
LengthMicrons="31.8", AreaMicrons="66.6", Text="", NegativeROA="0",
InputRegionId="0", Analyze="1", DisplayId="2")
# 创建子节点Attributes
region_attributes = ET.SubElement(region, "Attributes")
# 创建子节点Vertices
vertices = ET.SubElement(region, "Vertices")
# 创建子节点Vertex
vertex1 = ET.SubElement(vertices, "Vertex", X="96.400000", Y="70.800000")
vertex2 = ET.SubElement(vertices, "Vertex", X="96.600000", Y="71")
# 创建子节点Region
region2 = ET.SubElement(regions, "Region", Id="3")
# 创建子节点Plots
plots = ET.SubElement(annotation, "Plots")
# 将XML格式输出到文件
tree = ET.ElementTree(annotations)
tree.write("annotations.xml", encoding="utf-8", xml_declaration=True)
```
你可以根据自己的需求修改节点的属性和值。最后,将生成的XML格式输出到文件"annotations.xml"中。
用python帮我把下面标签中的有效数据提取出来<annotation> <folder>converted/CMS/2D目标检测/filter</folder> <filename>converted/CMS/2D目标检测/filter_empty_target_img_after_hash2/0/20230401180910649_61.jpg</filename> <source> <database>Unknown</database> <annotation>Unknown</annotation> <image>Unknown</image> </source> <size> <width>1920</width> <height>1536</height> <depth></depth> </size> <segmented>0</segmented> <object> <name>二轮车</name> <truncated>0</truncated> <occluded>0</occluded> <difficult>0</difficult> <bndbox> <xmin>626.38</xmin> <ymin>808.12</ymin> <xmax>650.03</xmax> <ymax>852.04</ymax> </bndbox> <attributes> <attribute> <name>rotation</name> <value>0.0</value> </attribute> <attribute> <name>track_id</name> <value>6</value> </attribute> <attribute> <name>keyframe</name> <value>True</value> </attribute> </attributes> </object> <object> <name>行人</name> <truncated>0</truncated> <occluded>0</occluded> <difficult>0</difficult> <bndbox> <xmin>1612.74</xmin> <ymin>831.51</ymin> <xmax>1627.34</xmax> <ymax>873.8</ymax> </bndbox> <attributes> <attribute> <name>rotation</name> <value>0.0</value> </attribute> <attribute> <name>track_id</name> <value>8</value> </attribute> <attribute> <name>keyframe</name> <value>True</value> </attribute> </attributes> </object> <object> <name>行人</name> <truncated>0</truncated> <occluded>0</occluded> <difficult>0</difficult> <bndbox> <xmin>1469.0</xmin> <ymin>832.96</ymin> <xmax>1489.43</xmax> <ymax>865.8</ymax> </bndbox> <attributes> <attribute> <name>rotation</name> <value>0.0</value> </attribute> <attribute> <name>track_id</name> <value>9</value> </attribute> <attribute> <name>keyframe</name> <value>True</value> </attribute> </attributes> </object> </annotation>
你可以使用Python中的xml.etree.ElementTree库来解析XML数据并提取标签中的有效数据。以下是一个示例代码,演示如何提取出有效数据:
```python
import xml.etree.ElementTree as ET
# 定义XML字符串
xml_string = '''
<annotation>
<folder>converted/CMS/2D目标检测/filter</folder>
<filename>converted/CMS/2D目标检测/filter_empty_target_img_after_hash2/0/20230401180910649_61.jpg</filename>
<source>
<database>Unknown</database>
<annotation>Unknown</annotation>
<image>Unknown</image>
</source>
<size>
<width>1920</width>
<height>1536</height>
<depth></depth>
</size>
<segmented>0</segmented>
<object>
<name>二轮车</name>
<truncated>0</truncated>
<occluded>0</occluded>
<difficult>0</difficult>
<bndbox>
<xmin>626.38</xmin>
<ymin>808.12</ymin>
<xmax>650.03</xmax>
<ymax>852.04</ymax>
</bndbox>
<attributes>
<attribute>
<name>rotation</name>
<value>0.0</value>
</attribute>
<attribute>
<name>track_id</name>
<value>6</value>
</attribute>
<attribute>
<name>keyframe</name>
<value>True</value>
</attribute>
</attributes>
</object>
<object>
<name>行人</name>
<truncated>0</truncated>
<occluded>0</occluded>
<difficult>0</difficult>
<bndbox>
<xmin>1612.74</xmin>
<ymin>831.51</ymin>
<xmax>1627.34</xmax>
<ymax>873.8</ymax>
</bndbox>
<attributes>
<attribute>
<name>rotation</name>
<value>0.0</value>
</attribute>
<attribute>
<name>track_id</name>
<value>8</value>
</attribute>
<attribute>
<name>keyframe</name>
<value>True</value>
</attribute>
</attributes>
</object>
<object>
<name>行人</name>
<truncated>0</truncated>
<occluded>0</occluded>
<difficult>0</difficult>
<bndbox>
<xmin>1469.0</xmin>
<ymin>832.96</ymin>
<xmax>1489.43</xmax>
<ymax>865.8</ymax>
</bndbox>
<attributes>
<attribute>
<name>rotation</name>
<value>0.0</value>
</attribute>
<attribute>
<name>track_id</name>
<value>9</value>
</attribute>
<attribute>
<name>keyframe</name>
<value>True</value>
</attribute>
</attributes>
</object>
</annotation>
'''
# 解析XML数据
root = ET.fromstring(xml_string)
# 提取有效数据
folder = root.find('folder').text
filename = root.find('filename').text
width = int(root.find('size/width').text)
height = int(root.find('size/height').text)
objects = []
for obj in root.findall('object'):
name = obj.find('name').text
xmin = float(obj.find('bndbox/xmin').text)
ymin = float(obj.find('bndbox/ymin').text)
xmax = float(obj.find('bndbox/xmax').text)
ymax = float(obj.find('bndbox/ymax').text)
objects.append({
'name': name,
'xmin': xmin,
'ymin': ymin,
'xmax': xmax,
'ymax': ymax
})
# 打印提取的有效数据
print("Folder:", folder)
print("Filename:", filename)
print("Width:", width)
print("Height:", height)
print("Objects:")
for obj in objects:
print(obj)
```
运行这段代码,它将解析XML字符串并提取出标签中的有效数据。你可以根据需要对提取出的数据进行进一步处理或存储。