I am using Python 3.4 and xlrd. I want to sort the Excel sheet based on the primary column before processing it. Is there any library to perform this ?
There are a couple ways to do this. The first option is to utilize xlrd, as you have this tagged. The biggest downside to this is that it doesn't natively write to XLSX format.
These examples use an excel document with this format:
Utilizing xlrd
and a few modifications from this answer:
import xlwt
from xlrd import open_workbook
target_column = 0 # This example only has 1 column, and it is 0 indexed
book = open_workbook('test.xlsx')
sheet = book.sheets()[0]
data = [sheet.row_values(i) for i in xrange(sheet.nrows)]
labels = data[0] # Don't sort our headers
data = data[1:] # Data begins on the second row
data.sort(key=lambda x: x[target_column])
bk = xlwt.Workbook()
sheet = bk.add_sheet(sheet.name)
for idx, label in enumerate(labels):
sheet.write(0, idx, label)
for idx_r, row in enumerate(data):
for idx_c, value in enumerate(row):
sheet.write(idx_r+1, idx_c, value)
bk.save('result.xls') # Notice this is xls, not xlsx like the original file is
This outputs the following workbook:
Another option (and one that can utilize XLSX output) is to utilize pandas. The code is also shorter:
import pandas as pd
xl = pd.ExcelFile("test.xlsx")
df = xl.parse("Sheet1")
df = df.sort(columns="Header Row")
writer = pd.ExcelWriter('output.xlsx')
df.to_excel(writer,sheet_name='Sheet1',columns=["Header Row"],index=False)
writer.save()
This outputs:
In the to_excel call, the index
is set to False
, so that the Pandas dataframe index isn't included in the excel document. The rest of the keywords should be self explanatory.
I just wanted to refresh the answer as the Pandas implementation has changed a bit over time. Here's the code that should work now (pandas 1.1.2).
import pandas as pd
xl = pd.ExcelFile("test.xlsx")
df = xl.parse("Sheet1")
df = df.sort_values(by="Header Row")
...
The sort
function is now called sort_by
and columns
is replaced by by
.