我有一个带有数字条目的数据帧,我希望在其中添加一些数字代码作为字符串,这些代码也被视为数字,尽管我尝试指定dtype='str',并且由于它们看起来不像数字,因此它们成为NaN:
dates = pd.date_range('20130101', periods=6)
df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=list('ABCD'))
df['codes'] = pd.Series(['3/27', '3/22', '3/23', '3/27', '3/58', '3/29'], dtype='str')
df
它产生:
Out[1]:
A B C D codes
2013-01-01 -1.071662 0.322842 -1.364833 1.046144 NaN
2013-01-02 -1.779425 1.403387 -1.603079 2.117234 NaN
2013-01-03 -0.759267 -0.305942 1.310631 0.606185 NaN
2013-01-04 1.610275 -0.681264 0.800195 0.775496 NaN
2013-01-05 1.145720 0.252765 -1.512279 -0.222186 NaN
2013-01-06 1.267579 -1.412583 -0.270927 0.584454 NaN
我该怎么做才能将这些代码输入为字符串?
添加index=df.index
以将新Series
对齐到DataFrame
:
df['codes'] = pd.Series(['3/27', '3/22', '3/23', '3/27', '3/58', '3/29'], index=df.index)
或分配列表:
df['codes'] = ['3/27', '3/22', '3/23', '3/27', '3/58', '3/29']