Compare 2 excel files using Python

Question

I have two xlsx files as follows:

value1   value2   value3
0.456   3.456    0.4325436
6.24654 0.235435 6.376546
4.26545 4.264543 7.2564523


        

Answer 1

The following approach should get you started:

from itertools import izip_longest
import xlrd

rb1 = xlrd.open_workbook('file1.xlsx')
rb2 = xlrd.open_workbook('file2.xlsx')

sheet1 = rb1.sheet_by_index(0)
sheet2 = rb2.sheet_by_index(0)

for rownum in range(max(sheet1.nrows, sheet2.nrows)):
    if rownum < sheet1.nrows:
        row_rb1 = sheet1.row_values(rownum)
        row_rb2 = sheet2.row_values(rownum)

        for colnum, (c1, c2) in enumerate(izip_longest(row_rb1, row_rb2)):
            if c1 != c2:
                print "Row {} Col {} - {} != {}".format(rownum+1, colnum+1, c1, c2)
    else:
        print "Row {} missing".format(rownum+1)

This will display any cells which are different between the two files. For your given two files, this will display:

Row 3 Col 2 - 0.235435 != 0.23546

If you prefer cell names, then use xlrd.formular.colname():

print "Cell {}{}  {} != {}".format(rownum+1, xlrd.formula.colname(colnum), c1, c2)

Giving you:

Cell 3B  0.235435 != 0.23546

Answer 2

df_file1 = pd.read_csv("Source_data.csv")
df_file1 = df_file1.replace(np.nan, '', regex=True) #Replacing Nan with space
df_file2 = pd.read_csv("Target_data.csv")
df_file2 = df_file2.replace(np.nan, '', regex=True)

df_i = pd.concat([df_file1, df_file2], axis='columns', keys=['file1', 'file2'])

df_f = df_i.swaplevel(axis='columns')[df_s.columns[0:]]

def highlight_diff(data, color='yellow'):
    attr = 'background-color: {}'.format(color)
    other = data.xs('file1', axis='columns', level=-1)
    return pd.DataFrame(np.where(data.ne(other, level=0), attr, ''), index=data.index, columns=data.columns)

df_final = df_f.style.apply(highlight_diff, axis=None)

writer = pd.ExcelWriter('comparexcels.xlsx')
df_final.to_excel(writer)
 writer.save()

Below Picture shows the output of file highlighting the differences

Answer 3

Use pandas and you can do it as simple as this:

import pandas as pd

df1 = pd.read_excel('excel1.xlsx')
df2 = pd.read_excel('excel2.xlsx')

difference = df1[df1!=df2]
print difference

And the result will look like this:

Answer 4

I use a code for doing something similar. It's a bit generalized works well. Input Excel Sheets and expected Output Dataframe image

import pandas as pd
import numpy as np
from xlsxwriter.utility import xl_rowcol_to_cell

template = pd.read_excel("template.xlsx",na_values=np.nan,header=None)
testSheet = pd.read_excel("test.xlsx",na_values=np.nan,header=None)

rt,ct = template.shape
rtest,ctest = testSheet.shape

df = pd.DataFrame(columns=['Cell_Location','BaseTemplate_Value','CurrentFile_Value'])

for rowNo in range(max(rt,rtest)):
  for colNo in range(max(ct,ctest)):
    # Fetching the template value at a cell
    try:
        template_val = template.iloc[rowNo,colNo]
    except:
        template_val = np.nan

    # Fetching the testsheet value at a cell
    try:
        testSheet_val = testSheet.iloc[rowNo,colNo]
    except:
        testSheet_val = np.nan

    # Comparing the values
    if (str(template_val)!=str(testSheet_val)):
        cell = xl_rowcol_to_cell(rowNo, colNo)
        dfTemp = pd.DataFrame([[cell,template_val,testSheet_val]],
                              columns=['Cell_Location','BaseTemplate_Value','CurrentFile_Value'])
        df = df.append(dfTemp)

df is the required dataframe