2019-01-16
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如何将pandas对象转换为指定的dtype（2）
由于数据有一些“nan”值，为了避免任何错误，我们将删除包含任何nan值的所有行。
# drop all those rows which
# have any 'nan' vlaue in it.
df.dropna(inplace = True)
# let's find out the data type of Weight column
before = type(df.Weight[0])
# Now we will convert it into 'int64' type.
df.Weight = df.We<strong>ight.astype('int64')
# let's find out the data type after casting
after = type(df.Weight[0])
# print the value of before
before
# print the value of after
after
0.0000
0
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