How to use 'pandas find rows with nan' in Python

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4def find_null(data):
5 """ Finds the indices of all missing values.
6
7 Parameters
8 ----------
9 data: numpy.ndarray
10 Data to impute.
11
12 Returns
13 -------
14 List of tuples
15 Indices of all missing values in tuple format; (i, j)
16
17 """
18 null_xy = np.argwhere(np.isnan(data))
19 return null_xy
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