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TYP: annotate to_numpy #32809

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Mar 18, 2020
Merged

TYP: annotate to_numpy #32809

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4 changes: 3 additions & 1 deletion pandas/core/arrays/base.py
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Original file line number Diff line number Diff line change
Expand Up @@ -356,7 +356,9 @@ def __iter__(self):
for i in range(len(self)):
yield self[i]

def to_numpy(self, dtype=None, copy=False, na_value=lib.no_default):
def to_numpy(
self, dtype=None, copy: bool = False, na_value=lib.no_default
) -> np.ndarray:
"""
Convert to a NumPy ndarray.

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5 changes: 4 additions & 1 deletion pandas/core/arrays/numpy_.py
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Expand Up @@ -435,7 +435,10 @@ def skew(self, axis=None, dtype=None, out=None, keepdims=False, skipna=True):

# ------------------------------------------------------------------------
# Additional Methods
def to_numpy(self, dtype=None, copy=False, na_value=lib.no_default):

def to_numpy(
self, dtype=None, copy: bool = False, na_value=lib.no_default
) -> np.ndarray:
result = np.asarray(self._ndarray, dtype=dtype)

if (copy or na_value is not lib.no_default) and result is self._ndarray:
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2 changes: 1 addition & 1 deletion pandas/core/frame.py
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Expand Up @@ -1253,7 +1253,7 @@ def from_dict(cls, data, orient="columns", dtype=None, columns=None) -> "DataFra

return cls(data, index=index, columns=columns, dtype=dtype)

def to_numpy(self, dtype=None, copy=False) -> np.ndarray:
def to_numpy(self, dtype=None, copy: bool = False) -> np.ndarray:
"""
Convert the DataFrame to a NumPy array.

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4 changes: 3 additions & 1 deletion pandas/tests/extension/decimal/array.py
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Expand Up @@ -79,7 +79,9 @@ def _from_factorized(cls, values, original):

_HANDLED_TYPES = (decimal.Decimal, numbers.Number, np.ndarray)

def to_numpy(self, dtype=None, copy=False, na_value=no_default, decimals=None):
def to_numpy(
self, dtype=None, copy: bool = False, na_value=no_default, decimals=None
) -> np.ndarray:
result = np.asarray(self, dtype=dtype)
if decimals is not None:
result = np.asarray([round(x, decimals) for x in result])
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