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I'm trying to fill a cell in a dataframe with another one. I'm using this line:
submission.iloc[i, coli] = train2.iloc[i2, coli-1]
I'm getting this error line:
IndexError: iloc cannot enlarge its target object
What is the reason for this?
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The main distinction between loc and iloc is: loc is label-based, which means that you have to specify rows and columns based on their row and column labels. iloc is integer position-based, so you have to specify rows and columns by their integer position values (0-based integer position).
The iloc() function in python is defined in the Pandas module that helps us to select a specific row or column from the data set. Using the iloc method in python, we can easily retrieve any particular value from a row or column by using index values.
loc() and iloc() are one of those methods. These are used in slicing data from the Pandas DataFrame. They help in the convenient selection of data from the DataFrame in Python. They are used in filtering the data according to some conditions.
Use concat() to Append Use pd. concat([new_row,df. loc[:]]). reset_index(drop=True) to append the row to the first position of the DataFrame as Index starts from zero.
I think this happens because either 'i' or 'coli' is out of bounds in submission. According to the documentation, you can Enlarge the dataframe with loc, meaning it would add the required row and column (in either axis) if you assign a value to a row/column that currently does not exist, but apparently iloc will not do the same.
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