dataframes .item() scalar

>>> import numpy as np
>>> weather_yesterday = pd.DataFrame(np.random.randn(10, 5))
>>>
>>> weather_yesterday
          0         1         2         3         4
0 -1.022778 -1.146957 -0.455922  3.330690  1.457040
1 -1.694324  0.830800 -0.440014  2.544319 -1.742110
2 -0.434218  0.432943 -1.952516  0.695923  0.830594
3  0.139740  0.170379  0.417473 -0.552355 -1.183856
4 -0.257754  1.197875  0.312274  0.806411  1.171922
5  0.313627  0.316828 -0.245851  0.278327  1.843323
6 -1.792920 -1.228641 -0.125744 -1.642766 -0.960869
7  1.133569  0.148449 -1.363961 -0.233685  0.098531
8  0.314390  0.718867  0.255522  0.019179  0.414491
9  0.463773 -1.630243 -0.675964 -0.049281  1.231596
>>>
>>> weather_yesterday[0]
0   -1.022778
1   -1.694324
2   -0.434218
3    0.139740
4   -0.257754
5    0.313627
6   -1.792920
7    1.133569
8    0.314390
9    0.463773
Name: 0, dtype: float64
>>> 
>>> weather_yesterday[0].item()
>>> 
>>> weather_yesterday[0].item()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/rbakare/.virtualenvs/gyro/lib/python3.5/site-packages/pandas/core/base.py", line 831, in item
    return self.values.item()
ValueError: can only convert an array of size 1 to a Python scalar
>>>
>>> weather_yesterday[0][0].item()
-1.022778257844836
>>>
>>> 
>>> bool(0)
False
>>> bool(-1)
True
>>> bool(1)
True
>>>
>>> weather_yesterday[0].any()
True
>>>