Return number of non-NA/null observations in the Series. Returns ------- int Number of non-null values in the Series. See Also -------- DataFrame.count : Count non-NA cells for each column or row. Examples ------
(self)
| 2070 | |
| 2071 | # TODO: integrate bottleneck |
| 2072 | def count(self) -> int: |
| 2073 | """ |
| 2074 | Return number of non-NA/null observations in the Series. |
| 2075 | |
| 2076 | Returns |
| 2077 | ------- |
| 2078 | int |
| 2079 | Number of non-null values in the Series. |
| 2080 | |
| 2081 | See Also |
| 2082 | -------- |
| 2083 | DataFrame.count : Count non-NA cells for each column or row. |
| 2084 | |
| 2085 | Examples |
| 2086 | -------- |
| 2087 | >>> s = pd.Series([0.0, 1.0, np.nan]) |
| 2088 | >>> s.count() |
| 2089 | 2 |
| 2090 | """ |
| 2091 | return maybe_unbox_numpy_scalar(notna(self._values).sum().astype("int64")) |
| 2092 | |
| 2093 | def mode(self, dropna: bool = True) -> Series: |
| 2094 | """ |