'DataFrame' object has no attribute 'row'

The error message "DataFrame' object has no attribute 'row'" usually occurs when you try to access a row in a pandas DataFrame using the attribute 'row', which does not exist in the DataFrame object.

To access a row in a pandas DataFrame, you can use the .iloc[] or .loc[] method. Here's an example of how to access the first row in a DataFrame using .iloc[]:

import pandas as pd

df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]})

# Access first row using iloc[]
first_row = df.iloc[0]
print(first_row)

This will output:

A    1
B    3
Name: 0, dtype: int64

Alternatively, you can use .loc[] to access a row by label:

import pandas as pd

df = pd.DataFrame({'A': [1, 2], 'B': [3, 4]}, index=['row1', 'row2'])

# Access row with label 'row1' using loc[]
row1 = df.loc['row1']
print(row1)

This will output:

A    1
B    3
Name: row1, dtype: int64

Note that the output is a pandas Series object, which is similar to a one-dimensional array or dictionary. If you need to access multiple rows, you can use slicing with .iloc[] or .loc[]. For example, to access the first two rows:

# Access first two rows using iloc[]
first_two_rows = df.iloc[:2]
print(first_two_rows)

This will output:

      A  B
row1  1  3
row2  2  4