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I show how to fix index error positional indexers are out-of-bounds error in Pandas.
The IndexError: positional indexers are out-of-bounds error in Pandas is usually caused by trying to access a row or column in a DataFrame that does not exist. This can happen when using integer indexing, for example, df.iloc[row_index, column_index].

Ways to resolve an error

To resolve this issue, make sure that the row and column indices you are using are within the bounds of the DataFrame. You can check the number of rows and columns in a DataFrame using the shape attribute, for example, df.shape.

Here’s an example of how to properly index a DataFrame to avoid this error:

# Get the number of rows and columns
rows, cols = df.shape

# Check that the row and column indices are within the bounds
if row_index < rows and column_index < cols:
    value = df.iloc[row_index, column_index]
else:
    raise IndexError("Index out of bounds")