import
pandas as pd
import
numpy as np
age_list
=
[[np.nan,
1952
,
8425333
, np.nan,
28.35
],
[
'Australia'
,
1957
,
9712569
,
'Oceania'
,
24.26
],
[
'Brazil'
,
1962
,
76039390
, np.nan,
30.24
],
[pd.NaT,
1957
,
637408000
,
'Asia'
,
28.32
],
[
'France'
,
1957
,
44310863
, pd.NaT,
25.21
],
[
'India'
,
1952
,
3.72e
+
08
, pd.NaT,
27.36
],
[
'United States'
,
1957
,
171984000
,
'Americas'
,
28.98
]]
df
=
pd.DataFrame(age_list, columns
=
[
'Country'
,
'Year'
,
'Population'
,
'Continent'
,
'lifeExp'
])
df