如何使用Pandas read_html从完整的DataFram中获取只选择的列

Question

我试图从html页面中提取特定的列，我的html数据如下所示。在

1) HTML DATA Format

            VM Name           User Name        Image Name                           Network  VCPUS  Memory(GB)  Disk(GB) Tenant     Region      KVM Host Power State                          URL               Created
0      dbsw-powerbi  anokhe@ezy.com           unknown   {u'VLAN181': [u'192.168.57.91']}      4          16       100    APP  DBS-AP-IN  dbs-appkvm03          On  https://compute.ezy.com  2018-08-02T10:30:07Z
1           pciedip  anokhe@ezy.com     dbsVDI-RHEL65   {u'VLAN181': [u'192.168.57.37']}      4          32       200    APP  DBS-AP-IN  dbs-appkvm01          On  https://compute.ezy.com  2018-04-18T06:39:38Z
2  dbs-spbdatasync1  anokhe@ezy.com    dbsVDI-RHEL510  {u'VLAN181': [u'192.168.57.156']}      1           8        50    APP  DBS-AP-IN     dbs-kvm13          On  https://compute.ezy.com  2018-04-05T09:51:29Z
3      dbsw-russian  anokhe@ezy.com  dbsVDI-WIN764-V1  {u'VLAN181': [u'192.168.57.216']}      1           4       100    APP  DBS-AP-IN  dbs-appkvm01          On  https://compute.ezy.com  2018-04-02T06:25:25Z
4   dbs-spbdatasync  anokhe@ezy.com    dbsVDI-RHEL510  {u'VLAN181': [u'192.168.57.233']}      1           8        50    APP  DBS-AP-IN     dbs-kvm13          On  https://compute.ezy.com  2018-04-02T05:03:03Z

我只是尝试pandas read_html来获取数据帧，但无法理解从数据帧中获取特定列。我需要从13列中选择['VM Name', 'User Name', 'Network', 'Region']列。在

2) code snippet

^{pr2}$

Answer 1

我在从已处理的read_html中选择DataFrame并使用基于多索引的方法选择所需列时得到了解决方案。多亏了Adrew对这件事的想法。。在

代码如下所示。。。可能对某人有帮助

import pandas as pd
##### Python pandas, widen output display to see more columns. ####
pd.set_option('display.height', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('expand_frame_repr', True)
###### Data Extraction ##################
'''
pd.read_html returns you a list with one element and that 
element is the pandas dataframe, i.e.
Data = pd.read_html('url') will produce a list
Data[0]  Will return a pandas DataFrame
'''
Data = pd.read_html('http://openstacksearch/vm_list.html', header=0, flavor='bs4')[0]
Data1 = Data[['VM Name', 'User Name', 'Network', 'Region']]
print(Data1)

Answer 2

选择可以使用的列的子集

Data = pd.read_html('http://openstacksearch/vm_list.html', header=0, flavor='bs4')
Data = Data[['VM Name', 'User Name', 'Network', 'Region']]