我的DataFrame列中包含DateTime索引，代表以下几个部分：
2000-03-31 00:00:00
如何将其转换为＆＃39; 2000q1＆＃39;？
我查看了文档，但他们只说DateTimeIndex.quarter 这里：http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DatetimeIndex.quarter.html
format='%Y%q'不起作用。选项on='%Y%q
Promises
答案 0 :(得分：12)
您可以使用xml_text = """<?xml version="1.0" encoding="UTF-8"?>
<slave>
<name>test.server</name>
<description></description>
<remoteFS>/var/lib/jenkins</remoteFS>
<numExecutors>1</numExecutors>
<mode>EXCLUSIVE</mode>
<retentionStrategy class="hudson.slaves.RetentionStrategy$Always"/>
<launcher class="hudson.plugins.sshslaves.SSHLauncher" plugin="ssh-slaves@1.10">
<host>test.server</host>
<port>7777</port>
<credentialsId>d0970a8f-d124</credentialsId>
<maxNumRetries>0</maxNumRetries>
<retryWaitTime>0</retryWaitTime>
</launcher>
<label>BuildServer</label>
<nodeProperties/>
<userId>test</userId>
</slave>
"""
import xml.etree.ElementTree
root = xml.etree.ElementTree.fromstring(xml_text)
# show only a particular tag
for name in root.findall('name'):
print(name.text)
# show all children at first level
for child in root:
print('%s: %s' % (child.tag, child.text))
# build a dict (will only get last of any duplicate tags, and no children)
slave = {child.tag: child.text for child in root}
# build a dict (will only get last of any duplicate tags)
def xml_todict(xml_node):
dict_ = {}
for child in xml_node:
dict_[child.tag] = xml_todict(child)
dict_.update(xml_node.attrib)
if not dict_:
return xml_node.text
if xml_node.text and 'text' not in dict_:
dict_['text'] = xml_node.text
return dict_
slave = xml_todict(root)
：
to_period("Q")df.index = df.index.to_period("Q")
要转换普通列import pandas as pd
df = pd.DataFrame({"y": [1,2,3]},
index=pd.to_datetime(["2000-03-31 00:00:00", "2000-05-31 00:00:00", "2000-08-31 00:00:00"]))
df.index = df.index.to_period("Q")
df
# y
#2000Q1 1
#2000Q2 2
#2000Q3 3
，请使用col访问该系列中的dt个对象：
Datetime