To select specific rows and columns in a pandas DataFrame, you can use the
.iloc operators followed by selection brackets
.loc operator is used for label-based indexing, while
.iloc is used for integer-based indexing.
For example, to select specific rows and columns by label names, you can use:
And to select specific rows and columns by integer positions, you can use:
column_labels are lists of label names, and
column_positions are lists of integer positions.
For example, to select rows with index labels "A" and "C" and columns with label names "col1" and "col3", you can use:
df.loc[["A", "C"], ["col1", "col3"]]
And to select the first two rows and the first three columns, you can use:
I hope this helps! Let me know if you have any other questions.