爲什麼.str方法會改變熊貓系列的形狀？

Question

感興趣的列被創建這樣這個

In [2]: ebola_melt['str_split'] = ebola_melt['type_country'] 
    .str.split('_') 
    In [3]: print(type(ebola_melt['str_split'])) 
    <class 'pandas.core.series.Series'> 

獲得（0）與名爲.str法塗布

In [4]: ebola_melt['str_split'].str.get(0) 
    Out[4]: 
    0  Cases 
    1  Cases 
    2  Cases 
    3  Cases 
    4  Cases 
     ... 

。獲得的數據

In [1]: print(type(ebola_melt)) 
    <class 'pandas.core.frame.DataFrame'> 

的類型（0 ）不使用.str方法

In [5]: ebola_melt['str_split'].get(0) 
    Out[5]: ['Cases', 'Guinea'] 

Answer 1

pandas.Series.str.get從Series/Index中的列表中提取元素。

pandas.Series.get會從對象的項目對於給定的索引值

請參考文檔 https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.get.html 和 https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.get.html

所以，

ebola_melt['str_split'] #contains ['Cases', 'Guinea'] 
    ebola_melt['str_split'].str.get(0) #returns the values present in the zeorth index of all rows which is Cases 
    ebola_melt['str_split'].get(0) #returns the row present in the zeorth index 
    ebola_melt['str_split'].get #returns the all the rows