我对 Python 和 openstack ceilometer 有点陌生。我正在使用以下代码读取云高计数据:
import ceilometerclient.client
cclient = ceilometerclient.client.get_client(2, os_username="Ceilometeradmin", os_password="blahblah", os_tenant_name="blahblah", os_auth_url="http://xxx.xx.xx.x:5000/v2.0")
query = [dict(field='resource_id', op='eq', value='dd893564-85e5-43f8-a384-086417f1d82c')]
ls = cclient.meters.list(q=query)
(请看附件输出图片)
有谁知道如何将其转换为数据框？
我试过:ls2 = pandas.DataFrame(ls, columns=["user_id", "name", "resource_id", "source", "meter_id", "project_id", "type", "unit "])
但出现以下错误:
Traceback (most recent call last):
File "", line 1, in File "/usr/lib/python2.7/dist-packages/pandas/core/frame.py", line 250, in init copy=copy)
File "/usr/lib/python2.7/dist-packages/pandas/core/frame.py", line 363, in _init_ndarray return create_block_manager_from_blocks([values.T], [columns, index])
File "/usr/lib/python2.7/dist-packages/pandas/core/internals.py", line 3750, in create_block_manager_from_blocks construction_error(tot_items, blocks[0].shape[1:], axes, e)
File "/usr/lib/python2.7/dist-packages/pandas/core/internals.py", line 3732, in construction_error passed,implied))
ValueError: Shape of passed values is (1, 2), indices imply (8, 2)
如果有人能提供帮助，我们将不胜感激..
谢谢
最良好的祝愿
最佳答案
在一位同事的帮助下，我们设法找到了解决方案。 我发布它是为了防止它对任何试图将云高计数据转换为数据帧的人有用。
ls2 = str(ls)[8:-2]
tmp = ls2.replace("u'","'")
tmp = tmp.replace("<Meter","")
tmp = tmp.replace("}>","}")
tmp= "["+tmp+"]"
tmp = tmp.replace("'", "\"")
parsed = json.loads(tmp)
ls3 = pandas.DataFrame(parsed)
替换字符使其成为无效字典并转换为数据帧
关于python - 将云高仪输出转换为 python 数据帧，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/33420300/