![]() # Now you chose one of the options, I used map here, but you can pick any one of themĭf1.DEFAULT = (df2.set_index('NAME'). So the correct code would be as follows: import pandas as pdĭf1 = pd.read_excel('stack.xlsx', sheet_name='Sheet1') #Here the ' was missing you defined df1 and df2 but used just df in the code which doesn't work And lastly you're inconsistent when using the df names. The tool is simple to use, and it doesn’t require any formulas or codes to work. You can either manually copy-paste the sheets or merge them using Coupler.io an automation tool used to import data to Google Sheets, Microsoft Excel, and BigQuery from different sources. Secondly there's a missing ' when reading the first sheet into df. Excel doesn’t actually have a built-in function to merge sheets. You only need 1 of the options I gave you. One of which seems to be a language barrier. On the Data tab, in the Data Tools group, click Consolidate. In your destination sheet, click the upper-left cell of the area where you want the consolidated data to appear. Then you overwrite the original sheet by using df.to_excel Combine by position Open each source sheet and make sure that your data is in the same position on each sheet. To do this, start off by opening both Excel workbooks. mergeĭf = df.merge(df2, how='left', on='Name')ĭf = pd.concat(, axis=1, sort='Name', join='inner')ĭf = df.set_index('Name').join(df2.set_index('Name'))ĭf.Default = df.Name.map(df2.set_index('Name').to_dict())Īll of them will have the following output: Name Default Class Age Group The easiest method to merge Excel spreadsheets is to simply take the entire sheet and copy it from one workbook to another. It's quite easy and there are a few options (ranked in order of speed, from fastest to slowest): #. Please help me with this to get this expected output using python.Īssuming you read each sheet into a dataframe (df = sheet1, df2 = sheet2) Suhash and Aish dont have any default value so not anything coming there.ĭf1 = pd.read_excel('stack.xlsx', sheet_name='Sheet1')ĭf2 = pd.read_excel('stack.xlsx', sheet_name='Sheet2')ĭf1 = (df2.set_index('NAME').to_dict()) ![]() So, Now i am trying to match name of sheet2 with sheet1, if the name containing in sheet1 matches with sheet2 then i want to add default value corresponding to that name from sheet2.Īs you can see only Ravi and Neha having default in sheet2 and that name matches with sheet1 name. It contains default, and name column with extra names in it. ![]() It contains four column name,class,age and group. Let me explain this by showing what i am doing and what i am trying to get in output using python. I am trying to take data of two sheets and comparing with each other if it matches i want to append column.
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