The difference between numpy and pandas

The numpy type will appear as follows, and pandas will automatically convert the data type

In [46]: tmp[0] = np.nan
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-46-1b66276310ce> in <module>
----> 1 tmp[0] = np.nan

ValueError: cannot convert float NaN to integer

numpy has a mean() method but no median() method

In [46]: tmp[0] = np.nan
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-46-1b66276310ce> in <module>
----> 1 tmp[0] = np.nan

ValueError: cannot convert float NaN to integer

Pandas's Series and DataFrame have mean() and median()  

In [54]: a = pd.Series(range(10))

In [55]: a
Out[55]:
0    0
1    1
2    2
3    3
4    4
5    5
6    6
7    7
8    8
9    9
dtype: int64

In [56]: a.mean()
Out[56]: 4.5

In [57]: a.median()
Out[57]: 4.5

If numpy includes nan, the mean value is calculated, and the mean value is nan

pandas will skip nan