object
is the default container capable of holding strings, or any combination of dtypes.
If you are using a version of pandas < '1.0.0'
this is your only option. If you are using pd.__version__ >= '1.0.0'
then you can use the new experimental pd.StringDtype()
dtype. Being experimental, the behavior is subject to change in future versions, so use at your own risk.
df.dtypes
#country object
# .astype(str) and .astype('str') keep the column as object.
df['country'] = df['country'].astype(str)
df.dtypes
#country object
df['country'] = df['country'].astype(pd.StringDtype())
df.dtypes
#country string