如何从pandas数据框中拆分dict列

Question

• Splitting dictionary/list inside a Pandas Column into Separate Columns＆GT;

以上链接为我的回答提供了一些解决方案

但我有同样的问题，输入方面差别不大。我的DF：

df = pd.DataFrame({'a':[1,2,3], 'b':[[{'c':1},{'c':3}], {'d':3}, {'c':5, 'd':6}]}) 

我的词典再次包含Key＆＃34; b＆＃34;。

的词条列表

我预期的O / P：

  [a    c   c1    d 
0  1   1.0  3    NaN  
1  2   NaN  NaN  3.0 
2  3   5.0  NaN  6.0][1]

你能帮忙吗？

Answer 1

您可以使用：

#convert to list of df with condition for add list
L = [pd.DataFrame(x) if isinstance(x, list) else pd.DataFrame([x]) for x in df['b']]
#join together, reshape and remove all NaNs columns
df1 = pd.concat(L, keys=df.index).unstack().dropna(how='all', axis=1)
#flattening MultiIndex in columns 
df1.columns = ['{}{}'.format(a,b) for a,b in df1.columns]
print (df1)
    c0   c1   d0
0  1.0  3.0  NaN
1  NaN  NaN  3.0
2  5.0  NaN  6.0

#remove original column b and join df1
df = df.drop('b',1).join(df1)
print (df)
   a   c0   c1   d0
0  1  1.0  3.0  NaN
1  2  NaN  NaN  3.0
2  3  5.0  NaN  6.0