[英]Python: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame
My pandas dataframe: 我的熊猫数据帧:
dframe = pd.DataFrame({"A":list("abcde"), "B":list("aabbc"), "C":[1,2,3,4,5]}, index=[10,11,12,13,14])
A B C
10 a a 1
11 b a 2
12 c b 3
13 d b 4
14 e c 5
My desired output: 我想要的输出:
A B C a b c
10 a a 1 1 None None
11 b a 2 2 None None
12 c b 3 None 3 None
13 d b 4 None 4 None
14 e c 5 None None 5
Idea is to create new column based on values in 'B' column, copy respective values in 'C' column and paste them in newly created columns. 想法是根据“B”列中的值创建新列,复制“C”列中的相应值并将其粘贴到新创建的列中。 Here is my code: 这是我的代码:
lis = sorted(list(dframe.B.unique()))
#creating empty columns
for items in lis:
dframe[items] = None
#here copy and pasting
for items in range(0, len(dframe)):
slot = dframe.B.iloc[items]
dframe[slot][items] = dframe.C.iloc[items]
I ended up with this error: 我最终得到了这个错误:
SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
app.launch_new_instance()
This code worked well in Python 2.7 but not in 3.x. 此代码在Python 2.7中运行良好,但在3.x中运行不佳。 Where I'm going wrong? 我哪里错了?
Start with 从...开始
to_be_appended = pd.get_dummies(dframe.B).replace(0, np.nan).mul(dframe.C, axis=0)
Then concat 然后结束
dframe = pd.concat([dframe, to_be_appended], axis=1)
Looks like: 好像:
print dframe
A B C a b c
10 a a 1 1.0 NaN NaN
11 b a 2 2.0 NaN NaN
12 c b 3 NaN 3.0 NaN
13 d b 4 NaN 4.0 NaN
14 e c 5 NaN NaN 5.0
Notes for searching. 搜索注意事项。
This is combining one hot encoding with a broadcast multiplication. 这是将一个热编码与广播乘法相结合。
Chained assignment will now by default warn if the user is assigning to a copy. 现在,如果用户正在分配副本,则链接分配将默认发出警告。
This can be changed with the option mode.chained_assignment, allowed options are raise/warn/None. 这可以通过选项mode.chained_assignment更改,允许的选项是raise / warn / None。 See the docs. 查看文档。
In [5]: dfc = DataFrame({'A':['aaa','bbb','ccc'],'B':[1,2,3]}) 在[5]中:dfc = DataFrame({'A':['aaa','bbb','ccc'],'B':[1,2,3]})
In [6]: pd.set_option('chained_assignment','warn') 在[6]中:pd.set_option('chained_assignment','warn')
The following warning / exception will show if this is attempted. 如果尝试这样,将显示以下警告/异常。
In [7]: dfc.loc[0]['A'] = 1111 在[7]中:dfc.loc [0] ['A'] = 1111
Traceback (most recent call last) ... SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. 回溯(最近一次调用最后一次)... SettingWithCopyWarning:尝试在DataFrame的切片副本上设置一个值。 Try using .loc[row_index,col_indexer] = value instead Here is the correct method of assignment. 尝试使用.loc [row_index,col_indexer] = value这是正确的赋值方法。
In [8]: dfc.loc[0,'A'] = 11 在[8]中:dfc.loc [0,'A'] = 11
In [9]: dfc 在[9]中:dfc
A B
0 11 1 0 11 1
1 bbb 2 1 bbb 2
2 ccc 3 2 ccc 3
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