Type hint for NumPy ndarray dtype?

Question

I would like a function to include a type hint for NumPy ndarray's alongside with its dtype.

With lists, for example, one could do the following...

def foo(bar: List[int]):
   ...

...in order to give a type hint that bar has to be list consisting of int's.

Unfortunately, this syntax throws exceptions for NumPy ndarray:

def foo(bar: np.ndarray[np.bool]):
   ...

> np.ndarray[np.bool]) (...) TypeError: 'type' object is not subscriptable

Is it possible to give dtype-specific type hints for np.ndarray?

Answer 1

You could check out nptyping:

from nptyping import NDArray, Bool  def foo(bar: NDArray[Bool]):    ... 

Or you could just use strings for type hints:

def foo(bar: 'np.ndarray[np.bool]'):    ... 

Answer 2

Check out data-science-types package.

pip install data-science-types

MyPy now has access to Numpy, Pandas, and Matplotlib stubs. Allows scenarios like:

# program.py

import numpy as np
import pandas as pd

arr1: np.ndarray[np.int64] = np.array([3, 7, 39, -3])  # OK
arr2: np.ndarray[np.int32] = np.array([3, 7, 39, -3])  # Type error

df: pd.DataFrame = pd.DataFrame({'col1': [1,2,3], 'col2': [4,5,6]}) # OK
df1: pd.DataFrame = pd.Series([1,2,3]) # error: Incompatible types in assignment (expression has type "Series[int]", variable has type "DataFrame")

Use mypy like normal.

$ mypy program.py

Usage with function-parameters

def f(df: pd.DataFrame):
    return df.head()

if __name__ == "__main__":
    x = pd.DataFrame({'col1': [1, 2, 3, 4, 5, 6]})
    print(f(x))

$ mypy program.py
> Success: no issues found in 1 source file