Request XML file from URL and save as CSV using python
I am new in python coding and I would like to get XML file from a server, parse it and save to csv file.
2 parts are ok, I am able to get the file and parse it, but there is an issue with saving as a csv.
The code:
import requests
import numpy as np
hu = requests.get('https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml', stream=True)
from xml.etree import ElementTree as ET
tree = ET.parse(hu.raw)
root = tree.getroot()
namespaces = {'ex': 'http://www.ecb.int/vocabulary/2002-08-01/eurofxref'}
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
np.savetxt('data.csv', (cube.attrib['currency'], cube.attrib['rate']), delimiter=',')
Error I get is: mismatch between array dtype and format specifier.
It probably means I get data and try to save it as array, and there appears a mismatch.
But i am not sure how to fix the problem and to not have a mismatch.
Thank you
python xml csv
add a comment |
I am new in python coding and I would like to get XML file from a server, parse it and save to csv file.
2 parts are ok, I am able to get the file and parse it, but there is an issue with saving as a csv.
The code:
import requests
import numpy as np
hu = requests.get('https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml', stream=True)
from xml.etree import ElementTree as ET
tree = ET.parse(hu.raw)
root = tree.getroot()
namespaces = {'ex': 'http://www.ecb.int/vocabulary/2002-08-01/eurofxref'}
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
np.savetxt('data.csv', (cube.attrib['currency'], cube.attrib['rate']), delimiter=',')
Error I get is: mismatch between array dtype and format specifier.
It probably means I get data and try to save it as array, and there appears a mismatch.
But i am not sure how to fix the problem and to not have a mismatch.
Thank you
python xml csv
add a comment |
I am new in python coding and I would like to get XML file from a server, parse it and save to csv file.
2 parts are ok, I am able to get the file and parse it, but there is an issue with saving as a csv.
The code:
import requests
import numpy as np
hu = requests.get('https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml', stream=True)
from xml.etree import ElementTree as ET
tree = ET.parse(hu.raw)
root = tree.getroot()
namespaces = {'ex': 'http://www.ecb.int/vocabulary/2002-08-01/eurofxref'}
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
np.savetxt('data.csv', (cube.attrib['currency'], cube.attrib['rate']), delimiter=',')
Error I get is: mismatch between array dtype and format specifier.
It probably means I get data and try to save it as array, and there appears a mismatch.
But i am not sure how to fix the problem and to not have a mismatch.
Thank you
python xml csv
I am new in python coding and I would like to get XML file from a server, parse it and save to csv file.
2 parts are ok, I am able to get the file and parse it, but there is an issue with saving as a csv.
The code:
import requests
import numpy as np
hu = requests.get('https://www.ecb.europa.eu/stats/eurofxref/eurofxref-daily.xml', stream=True)
from xml.etree import ElementTree as ET
tree = ET.parse(hu.raw)
root = tree.getroot()
namespaces = {'ex': 'http://www.ecb.int/vocabulary/2002-08-01/eurofxref'}
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
np.savetxt('data.csv', (cube.attrib['currency'], cube.attrib['rate']), delimiter=',')
Error I get is: mismatch between array dtype and format specifier.
It probably means I get data and try to save it as array, and there appears a mismatch.
But i am not sure how to fix the problem and to not have a mismatch.
Thank you
python xml csv
python xml csv
asked Nov 20 '18 at 16:42
bennesbennes
2128
2128
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
from the docs, your second argument in np.savetext
should be a tuple
of equal sized arrays. What you are providing are strings:
>>> x = y = z = np.arange(0.0,5.0,1.0)
>>> np.savetxt('test.out', x, delimiter=',') # X is an array
>>> np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
>>> np.savetxt('test.out', x, fmt='%1.4e') # use exponential notation
You'll need to gather all of the concurrency
and rate
values into arrays, then save as csv:
concurrency, rate = ,
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
concurrency.append(cube.attrib['concurrency'])
rate.append(cube.attrib['rate'])
np.savetext('file.csv', (concurrency, rate), delimeter='c')
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
@bennes look at what's happening in thefor
loop. Run the code and you'll see what's going on
– C.Nivs
Nov 21 '18 at 17:22
add a comment |
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53397629%2frequest-xml-file-from-url-and-save-as-csv-using-python%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
from the docs, your second argument in np.savetext
should be a tuple
of equal sized arrays. What you are providing are strings:
>>> x = y = z = np.arange(0.0,5.0,1.0)
>>> np.savetxt('test.out', x, delimiter=',') # X is an array
>>> np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
>>> np.savetxt('test.out', x, fmt='%1.4e') # use exponential notation
You'll need to gather all of the concurrency
and rate
values into arrays, then save as csv:
concurrency, rate = ,
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
concurrency.append(cube.attrib['concurrency'])
rate.append(cube.attrib['rate'])
np.savetext('file.csv', (concurrency, rate), delimeter='c')
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
@bennes look at what's happening in thefor
loop. Run the code and you'll see what's going on
– C.Nivs
Nov 21 '18 at 17:22
add a comment |
from the docs, your second argument in np.savetext
should be a tuple
of equal sized arrays. What you are providing are strings:
>>> x = y = z = np.arange(0.0,5.0,1.0)
>>> np.savetxt('test.out', x, delimiter=',') # X is an array
>>> np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
>>> np.savetxt('test.out', x, fmt='%1.4e') # use exponential notation
You'll need to gather all of the concurrency
and rate
values into arrays, then save as csv:
concurrency, rate = ,
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
concurrency.append(cube.attrib['concurrency'])
rate.append(cube.attrib['rate'])
np.savetext('file.csv', (concurrency, rate), delimeter='c')
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
@bennes look at what's happening in thefor
loop. Run the code and you'll see what's going on
– C.Nivs
Nov 21 '18 at 17:22
add a comment |
from the docs, your second argument in np.savetext
should be a tuple
of equal sized arrays. What you are providing are strings:
>>> x = y = z = np.arange(0.0,5.0,1.0)
>>> np.savetxt('test.out', x, delimiter=',') # X is an array
>>> np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
>>> np.savetxt('test.out', x, fmt='%1.4e') # use exponential notation
You'll need to gather all of the concurrency
and rate
values into arrays, then save as csv:
concurrency, rate = ,
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
concurrency.append(cube.attrib['concurrency'])
rate.append(cube.attrib['rate'])
np.savetext('file.csv', (concurrency, rate), delimeter='c')
from the docs, your second argument in np.savetext
should be a tuple
of equal sized arrays. What you are providing are strings:
>>> x = y = z = np.arange(0.0,5.0,1.0)
>>> np.savetxt('test.out', x, delimiter=',') # X is an array
>>> np.savetxt('test.out', (x,y,z)) # x,y,z equal sized 1D arrays
>>> np.savetxt('test.out', x, fmt='%1.4e') # use exponential notation
You'll need to gather all of the concurrency
and rate
values into arrays, then save as csv:
concurrency, rate = ,
for cube in root.findall('.//ex:Cube[@currency]', namespaces=namespaces):
concurrency.append(cube.attrib['concurrency'])
rate.append(cube.attrib['rate'])
np.savetext('file.csv', (concurrency, rate), delimeter='c')
answered Nov 20 '18 at 16:51
C.NivsC.Nivs
2,4441516
2,4441516
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
@bennes look at what's happening in thefor
loop. Run the code and you'll see what's going on
– C.Nivs
Nov 21 '18 at 17:22
add a comment |
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
@bennes look at what's happening in thefor
loop. Run the code and you'll see what's going on
– C.Nivs
Nov 21 '18 at 17:22
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
how can I gather all of the currency and rate values into arrays? How to fill an array from first part of the code please? Or is there a way how not to use arrays in this case at all? Just to get the data and fill the file?
– bennes
Nov 21 '18 at 12:08
@bennes look at what's happening in the
for
loop. Run the code and you'll see what's going on– C.Nivs
Nov 21 '18 at 17:22
@bennes look at what's happening in the
for
loop. Run the code and you'll see what's going on– C.Nivs
Nov 21 '18 at 17:22
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53397629%2frequest-xml-file-from-url-and-save-as-csv-using-python%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown