Extracting Data from XML in Python
I have XML file containing data from multiple sources which I am trying to extract for analysis. But I am not able to extract the data.
Could anyone enlighten me on the procedure to extract the data while keeping the heading and unit of the data?
The file is attached xml file.
The snap of the data is also attached here:

The only output I can get is the header and I couldn't load the data into python for further analysis. Any help is very much appreciated.
python xml
add a comment |
I have XML file containing data from multiple sources which I am trying to extract for analysis. But I am not able to extract the data.
Could anyone enlighten me on the procedure to extract the data while keeping the heading and unit of the data?
The file is attached xml file.
The snap of the data is also attached here:

The only output I can get is the header and I couldn't load the data into python for further analysis. Any help is very much appreciated.
python xml
add a comment |
I have XML file containing data from multiple sources which I am trying to extract for analysis. But I am not able to extract the data.
Could anyone enlighten me on the procedure to extract the data while keeping the heading and unit of the data?
The file is attached xml file.
The snap of the data is also attached here:

The only output I can get is the header and I couldn't load the data into python for further analysis. Any help is very much appreciated.
python xml
I have XML file containing data from multiple sources which I am trying to extract for analysis. But I am not able to extract the data.
Could anyone enlighten me on the procedure to extract the data while keeping the heading and unit of the data?
The file is attached xml file.
The snap of the data is also attached here:

The only output I can get is the header and I couldn't load the data into python for further analysis. Any help is very much appreciated.
python xml
python xml
edited Nov 23 '18 at 12:02
petezurich
3,50581734
3,50581734
asked Nov 23 '18 at 6:11
Abhishek Kumar
358
358
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
A simple way would be to use xmltodict:
with open("00001.xml", "r") as file:
raw = file.read()
import xmltodict
data = xmltodict.parse(raw)
print(data)
This prints out:
OrderedDict([('logs',
OrderedDict([('@xmlns', 'http://www.witsml.org/schemas/1series'),
('@xmlns:xsi',
'http://www.w3.org/2001/XMLSchema-instance'),
('@version', '1.4.1.1'),
('log',
OrderedDict([('@uidWell', 'W-508420'),
('@uidWellbore', 'B-508420'),
('@uid', 'L-508421-Time'),
('nameWell', '15/9-F-5'),
('nameWellbore',
'15/9-F-5 - Main Wellbore'),
('name', 'Real Time SLB - Time Log'),
('serviceCompany', 'Schlumberger'),
('creationDate',
'2007-12-18T13:28:58.000Z'),
You get an ordered dict which values you can access like any other dicts values.
If you want to get tabular data I suggest to use pandas:
import pandas as pd
df = pd.DataFrame(data["logs"])
df.head()
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
1
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
A simple way would be to use xmltodict:
with open("00001.xml", "r") as file:
raw = file.read()
import xmltodict
data = xmltodict.parse(raw)
print(data)
This prints out:
OrderedDict([('logs',
OrderedDict([('@xmlns', 'http://www.witsml.org/schemas/1series'),
('@xmlns:xsi',
'http://www.w3.org/2001/XMLSchema-instance'),
('@version', '1.4.1.1'),
('log',
OrderedDict([('@uidWell', 'W-508420'),
('@uidWellbore', 'B-508420'),
('@uid', 'L-508421-Time'),
('nameWell', '15/9-F-5'),
('nameWellbore',
'15/9-F-5 - Main Wellbore'),
('name', 'Real Time SLB - Time Log'),
('serviceCompany', 'Schlumberger'),
('creationDate',
'2007-12-18T13:28:58.000Z'),
You get an ordered dict which values you can access like any other dicts values.
If you want to get tabular data I suggest to use pandas:
import pandas as pd
df = pd.DataFrame(data["logs"])
df.head()
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
1
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
add a comment |
A simple way would be to use xmltodict:
with open("00001.xml", "r") as file:
raw = file.read()
import xmltodict
data = xmltodict.parse(raw)
print(data)
This prints out:
OrderedDict([('logs',
OrderedDict([('@xmlns', 'http://www.witsml.org/schemas/1series'),
('@xmlns:xsi',
'http://www.w3.org/2001/XMLSchema-instance'),
('@version', '1.4.1.1'),
('log',
OrderedDict([('@uidWell', 'W-508420'),
('@uidWellbore', 'B-508420'),
('@uid', 'L-508421-Time'),
('nameWell', '15/9-F-5'),
('nameWellbore',
'15/9-F-5 - Main Wellbore'),
('name', 'Real Time SLB - Time Log'),
('serviceCompany', 'Schlumberger'),
('creationDate',
'2007-12-18T13:28:58.000Z'),
You get an ordered dict which values you can access like any other dicts values.
If you want to get tabular data I suggest to use pandas:
import pandas as pd
df = pd.DataFrame(data["logs"])
df.head()
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
1
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
add a comment |
A simple way would be to use xmltodict:
with open("00001.xml", "r") as file:
raw = file.read()
import xmltodict
data = xmltodict.parse(raw)
print(data)
This prints out:
OrderedDict([('logs',
OrderedDict([('@xmlns', 'http://www.witsml.org/schemas/1series'),
('@xmlns:xsi',
'http://www.w3.org/2001/XMLSchema-instance'),
('@version', '1.4.1.1'),
('log',
OrderedDict([('@uidWell', 'W-508420'),
('@uidWellbore', 'B-508420'),
('@uid', 'L-508421-Time'),
('nameWell', '15/9-F-5'),
('nameWellbore',
'15/9-F-5 - Main Wellbore'),
('name', 'Real Time SLB - Time Log'),
('serviceCompany', 'Schlumberger'),
('creationDate',
'2007-12-18T13:28:58.000Z'),
You get an ordered dict which values you can access like any other dicts values.
If you want to get tabular data I suggest to use pandas:
import pandas as pd
df = pd.DataFrame(data["logs"])
df.head()
A simple way would be to use xmltodict:
with open("00001.xml", "r") as file:
raw = file.read()
import xmltodict
data = xmltodict.parse(raw)
print(data)
This prints out:
OrderedDict([('logs',
OrderedDict([('@xmlns', 'http://www.witsml.org/schemas/1series'),
('@xmlns:xsi',
'http://www.w3.org/2001/XMLSchema-instance'),
('@version', '1.4.1.1'),
('log',
OrderedDict([('@uidWell', 'W-508420'),
('@uidWellbore', 'B-508420'),
('@uid', 'L-508421-Time'),
('nameWell', '15/9-F-5'),
('nameWellbore',
'15/9-F-5 - Main Wellbore'),
('name', 'Real Time SLB - Time Log'),
('serviceCompany', 'Schlumberger'),
('creationDate',
'2007-12-18T13:28:58.000Z'),
You get an ordered dict which values you can access like any other dicts values.
If you want to get tabular data I suggest to use pandas:
import pandas as pd
df = pd.DataFrame(data["logs"])
df.head()
edited Nov 23 '18 at 6:58
answered Nov 23 '18 at 6:36
petezurich
3,50581734
3,50581734
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
1
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
add a comment |
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
1
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
My main concern is getting the data in a tabular form......i appreciate your support for demystifying the subject.Could you guide on getting the data in tabular form
– Abhishek Kumar
Nov 23 '18 at 6:40
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
@AbhishekKumar See my edit.
– petezurich
Nov 23 '18 at 6:58
1
1
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
Thank you so much @petezurich now I can start cleaning data
– Abhishek Kumar
Nov 23 '18 at 11:53
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
@AbhishekKumar You´re welcome. And good luck with your project!
– petezurich
Nov 23 '18 at 12:00
add a comment |
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