CODEWITHSUNDEEP
pythonxlsx
zjm1126
zjm1126

Reputation: 35662

How to load data from an xlsx file using python

this is my xlsx file :

enter image description here

and i want to get change this data to a dict like this :

{
    0:{
       'a':1,
       'b':100,
       'c':2,
       'd':10
    },
    1:{
       'a':8,
       'b':480,
       'c':3,
       'd':14
    }
...
}

so did somebody know a python lib to do this , and start from the line 124, and end of the line 141 ,

thanks

Upvotes: 6

Views: 13376

Answers (4)

chfw
chfw

Reputation: 4592

Suppose you had the data like this:

a,b,c,d
1,2,3,4
2,3,4,5
...

One of many potential answers in 2014 is:

import pyexcel


r = pyexcel.SeriesReader("yourfile.xlsx")
# make a filter function
filter_func = lambda row_index: row_index < 124 or row_index > 141
# apply the filter on the reader
r.filter(pyexcel.filters.RowIndexFilter(filter_func))
# get the data
data = pyexcel.utils.to_records(r)
print data

Now the data is an array of dictionaries:

[{
   'a':1,
   'b':100,
   'c':2,
   'd':10
},
{
   'a':8,
   'b':480,
   'c':3,
   'd':14
}...
]

Documentation can be read here

Upvotes: 1

Collin Anderson
Collin Anderson

Reputation: 15434

Here's a very very rough implementation using just the standard library.

def xlsx(fname):
    import zipfile
    from xml.etree.ElementTree import iterparse
    z = zipfile.ZipFile(fname)
    strings = [el.text for e, el in iterparse(z.open('xl/sharedStrings.xml')) if el.tag.endswith('}t')]
    rows = []
    row = {}
    value = ''
    for e, el in iterparse(z.open('xl/worksheets/sheet1.xml')):
        if el.tag.endswith('}v'): # <v>84</v>
            value = el.text
        if el.tag.endswith('}c'): # <c r="A3" t="s"><v>84</v></c>
            if el.attrib.get('t') == 's':
                value = strings[int(value)]
            letter = el.attrib['r'] # AZ22
            while letter[-1].isdigit():
                letter = letter[:-1]
            row[letter] = value
        if el.tag.endswith('}row'):
            rows.append(row)
            row = {}
    return dict(enumerate(rows))

Upvotes: 0

joshayers
joshayers

Reputation: 3439

Another option is openpyxl. I've been meaning to try it out, but haven't gotten around to it yet, so I can't say how good it is.

Upvotes: 0

John Machin
John Machin

Reputation: 82924

Options with xlrd:

(1) Your xlsx file doesn't look very large; save it as xls.

(2) Use xlrd plus the bolt-on beta-test module xlsxrd (find my e-mail address and ask for it); the combination will read data from xls and xlsx files seamlessly (same APIs; it examines the file contents to determine whether it's xls, xlsx, or an imposter).

In either case, something like the (untested) code below should do what you want:

from xlrd import open_workbook
from xlsxrd import open_workbook
# Choose one of the above

# These could be function args in real live code
column_map = {
    # The numbers are zero-relative column indexes
    'a': 1,
    'b': 2,
    'c': 4,
    'd': 6,
    }
first_row_index = 124 - 1
last_row_index = 141 - 1
file_path = 'your_file.xls'

# The action starts here
book = open_workbook(file_path)
sheet = book.sheet_by_index(0) # first worksheet
key0 = 0
result = {}
for row_index in xrange(first_row_index, last_row_index + 1):
    d = {}
    for key1, column_index in column_map.iteritems():
        d[key1] = sheet.cell_value(row_index, column_index)
    result[key0] = d
    key0 += 1

Upvotes: 1

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