Alle Dateien aus dem Pythonkurs
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 

19 lines
1.4 KiB

import numpy as np
import numpy.typing as npt
AR_i8: npt.NDArray[np.int64]
AR_f8: npt.NDArray[np.float64]
reveal_type(np.histogram_bin_edges(AR_i8, bins="auto")) # E: ndarray[Any, dtype[Any]]
reveal_type(np.histogram_bin_edges(AR_i8, bins="rice", range=(0, 3))) # E: ndarray[Any, dtype[Any]]
reveal_type(np.histogram_bin_edges(AR_i8, bins="scott", weights=AR_f8)) # E: ndarray[Any, dtype[Any]]
reveal_type(np.histogram(AR_i8, bins="auto")) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]]
reveal_type(np.histogram(AR_i8, bins="rice", range=(0, 3))) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]]
reveal_type(np.histogram(AR_i8, bins="scott", weights=AR_f8)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]]
reveal_type(np.histogram(AR_f8, bins=1, density=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]]
reveal_type(np.histogramdd(AR_i8, bins=[1])) # E: Tuple[ndarray[Any, dtype[Any]], builtins.list[ndarray[Any, dtype[Any]]]]
reveal_type(np.histogramdd(AR_i8, range=[(0, 3)])) # E: Tuple[ndarray[Any, dtype[Any]], builtins.list[ndarray[Any, dtype[Any]]]]
reveal_type(np.histogramdd(AR_i8, weights=AR_f8)) # E: Tuple[ndarray[Any, dtype[Any]], builtins.list[ndarray[Any, dtype[Any]]]]
reveal_type(np.histogramdd(AR_f8, density=True)) # E: Tuple[ndarray[Any, dtype[Any]], builtins.list[ndarray[Any, dtype[Any]]]]