![pd.DataFrame([[ser[0], ""]])  # 取值 不保留索引_取值](https://s2.51cto.com/images/blog/front/202312/0155ac63077a5e60309673d5be33af6e9c3f43.png?x-oss-process=image/watermark,size_14,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_30,g_se,x_10,y_10,shadow_20,type_ZmFuZ3poZW5naGVpdGk=,x-oss-process=image/resize,m_fixed,w_1184)
ser = pd.Series(range(3), index=["col"+str(i) for i in range(3)])
pd.DataFrame([[ser[0], ""]])  # 取值 不保留索引 
![pd.DataFrame([[ser[0], ""]])  # 取值 不保留索引_取值](https://s2.51cto.com/images/blog/front/202312/0155ac63077a5e60309673d5be33af6e9c3f43.png?x-oss-process=image/watermark,size_14,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_30,g_se,x_10,y_10,shadow_20,type_ZmFuZ3poZW5naGVpdGk=,x-oss-process=image/resize,m_fixed,w_1184)
ser = pd.Series(range(3), index=["col"+str(i) for i in range(3)])
pd.DataFrame([[ser[0], ""]])  # 取值 不保留索引上一篇:判断x是否为pd.NaT
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