python iloc

iloc stands for "integer location" and is a method used in pandas to select data from a DataFrame using integer-based indexing. It allows you to select rows and columns of a DataFrame by their integer positions, rather than by labels or boolean indexing.

The syntax for using iloc is:

df.iloc[row_indexer, column_indexer]

where row_indexer and column_indexer can be integers or slices, and can be used to select specific rows and columns respectively.

Here are a few examples of how iloc can be used:

# select the first row of a DataFrame
df.iloc[0]

# select the first three rows and first two columns of a DataFrame
df.iloc[:3, :2]

# select every other row and every third column of a DataFrame
df.iloc[::2, ::3]

Overall, iloc is a useful method for selecting data from a DataFrame using integer-based indexing.