Request XML file from URL and save as CSV using python












0















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










share|improve this question



























    0















    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










    share|improve this question

























      0












      0








      0








      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










      share|improve this question














      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






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 20 '18 at 16:42









      bennesbennes

      2128




      2128
























          1 Answer
          1






          active

          oldest

          votes


















          0














          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')





          share|improve this answer
























          • 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











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          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')





          share|improve this answer
























          • 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
















          0














          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')





          share|improve this answer
























          • 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














          0












          0








          0







          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')





          share|improve this answer













          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')






          share|improve this answer












          share|improve this answer



          share|improve this answer










          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 the for 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











          • @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

















          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




















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