pd.DataFrame.iloc

pandas.DataFrame.iloc

getitem

• df.iloc supports single integer indexing (returns row as series) df.iloc[0]
• df.iloc supports single list/array/series of integers/bool df.iloc[[0,1,2]]
• for tuples indexing df.iloc[row_idx, col_idx] we allow:
  • row_idx to be int list/array/series of integers/bool slice
  • col_idx to be constant int, constant list of integers, or constant slice
• e.g.: df.iloc[[0,1,2], :]

setitem

• df.iloc only supports scalar setitem
• df.iloc only supports tuple indexing df.iloc[row_idx, col_idx]
• row_idx can be anything supported for series setitem:
  • int
  • list/array/series of integers/bool
  • slice
• col_idx can be: constant int, constant list/tuple of integers

Example Usage

>>> @bodo.jit
... def f():
...   df = pd.DataFrame({"A": [1,2,3], "B": [4,5,6], "C": [7,8,9]})
...   df.iloc[0, 0] = df.iloc[2,2]
...   df.iloc[1, [1,2]] = df.iloc[0, 1]
...   df["D"] = df.iloc[0]
...   return df
>>> f()
   A  B  C  D
0  9  4  7  7
1  2  4  4  4
2  3  6  9  9