Nan¶

In [1]:
%pip install numpy
import numpy as np

Requirement already satisfied: numpy in /home/samrat/Documents/numpy-torch-tutorials/venv/lib/python3.8/site-packages (1.24.4)
Note: you may need to restart the kernel to use updated packages.
In [6]:
bot = np.ones(shape=(3,4))
bot[[0, 2], [1, 2]] = np.nan
bot
Out[6]:
array([[ 1., nan,  1.,  1.],
       [ 1.,  1.,  1.,  1.],
       [ 1.,  1., nan,  1.]])
In [7]:
bot == np.nan
Out[7]:
array([[False, False, False, False],
       [False, False, False, False],
       [False, False, False, False]])
In [8]:
np.nan == np.nan
Out[8]:
False
In [9]:
np.nan != np.nan
Out[9]:
True
In [10]:
np.isnan(bot)
Out[10]:
array([[False,  True, False, False],
       [False, False, False, False],
       [False, False,  True, False]])
In [11]:
foo =  np.array([1,2,3], dtype=int)
foo[0]= np.nan

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[11], line 2
      1 foo =  np.array([1,2,3], dtype=int)
----> 2 foo[0]= np.nan

ValueError: cannot convert float NaN to integer
In [ ]: