Extracting columns from Excel using Python

I have an Excel file with ff: row / col structure

ID   English   Spanish   French
 1   Hello     Hilo      Halu
 2   Hi        Hye       Ghi
 3   Bus       Buzz      Bas

      

I would like to read an Excel file, extract the row and column values, and create 3 bases of new files in English, Spanish and French columns.

So, I would have something like:

Russian File:

"1" = "Hello"
"2" = "Hi"
"3" = "Bus"

      

I am using xlrd. I can open, read and print the contents of the file. However, this is what I get from using this command (with the Excel file already open):

for index in xrange(0,2):
    theWord = '\n' + str(sh.col_values(index, start_rowx=index, end_rowx=1)) + '=' + str(sh.col_values(index+1, start_rowx=index, end_rowx = 1))
    print theWord

      

OUTPUT:

[u'Parameter/Variable/Key/String']=[u'ENGLISH'] <-- is this a list?, didn't the str() use to strip it out?

      

What is u doing ? How do I remove square brackets?

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3 answers


u

means it is a unicode string, it gets added there when you call str()

. If you write a line to a file, it won't be there. What you get is 1 row from column. This is because you are using end_rowx=1

it returns a list with one item.

Try to get lists of column values:

ids = sh.col_values(0, start_rowx=1)
english = sh.col_values(1, start_rowx=1)
spanish = sh.col_values(2, start_rowx=1)
french = sh.col_values(3, start_rowx=1)

      

and then you can zip

include them in the tuple lists:

english_with_IDS = zip(ids, english)
spanish_with_IDS = zip(ids, spanish)
french_with_IDS = zip(ids, french)

      



which are in the form:

("1", "Hello"),("2", "Hi"), ("3", "Bus")

      

If you want to print pairs:

for id, word in english_with_IDS:
       print id + "=" + word

      

col_values

returns a list of column values ​​if you want single values ​​to be called sh.cell_value(rowx, cellx)

.

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Use pandas :



In [1]: import pandas as pd

In [2]: df = pd.ExcelFile('test.xls').parse('Sheet1', index_col=0) # reads file

In [3]: df.index = df.index.map(int)

In [4]: for col in df.columns:
   ...:     column = df[col]
   ...:     column.to_csv(column.name, sep='=')  # writes each column to a file                                                    
   ...:                                          # with filename == column name

In [5]: !cat English  # English file content
1=Hello
2=Hi
3=Bus

      

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import xlrd

sh = xlrd.open_workbook('input.xls').sheet_by_index(0)
english = open("english.txt", 'w')
spanish = open("spanish.txt", 'w')
french = open("french.txt", 'w')
try:
    for rownum in range(sh.nrows):
        english.write(str(rownum)+ " = " +str(sh.cell(rownum, 0).value)+"\n")
        spanish.write(str(rownum)+ " = " +str(sh.cell(rownum, 1).value)+"\n")
        french.write(str(rownum)+ " = " +str(sh.cell(rownum, 2).value)+"\n")
finally:
    english.close()
    spanish.close()
    french.close()

      

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