Question

基本上，我想这样做

ValueError: You are trying to merge on object and float64 columns. If you wish to proceed you should use pd.concat

错误是

Investments2['SECURITY CODE']
Name: SECURITY CODE, dtype: float64.

所以我检查right_on的类型：

Investments2['security code']
Out[104]: 
116     11111
118    222222
119    333333
Name: security code, dtype: object

type(Investments2.iloc[1,1])
Out[106]: float

但是left_on会发生什么：

class TMyForm : public TForm
{
__published:
    TEdit *Edit1;
    TEdit *Edit2;
    TEdit *Edit3;
    TEdit *Edit4;
    TEdit *Edit5;
    void __fastcall EditChange(TObject *Sender);
private:
    TEdit *Edits[5];
    int __fastcall IndexOf(TEdit *Edit);
public:
    __fastcall TMyForm(TComponent *Owner);
}

是不是一列浮点数是一个对象，而一个对象意味着一个字符串？

Answer 1

在合并之前先转换Investments2。喜欢，

Investments2['security code'] = Investments2['security code'].transform(float)

注释中指出的

或，请使用DataFrame.astype

Investments2['security code'] = Investments2['security code'].astype(float)

浮点数的熊猫列竟然是对象？

1 个答案: