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python原子数据类型(python atomic data types)

这里写的是Python有原子和引用对象类型。 原子对象是:int,long,complex。 分配原子对象时,会复制它的值,在分配引用对象时会复制它的引用。

我的问题是:为什么然后,当我做代码时,我得到'真'?

a = 1234
b = a
print id(a) == id(b)

在我看来,我不复制价值,我只是复制参考,无论它是什么类型。


It was written here that Python has both atomic and reference object types. Atomic objects are: int, long, complex. When assigning atomic object, it's value is copied, when assigning reference object it's reference is copied.

My question is: why then, when i do the code bellow i get 'True'?

a = 1234
b = a
print id(a) == id(b)

It seems to me that i don't copy value, i just copy reference, no matter what type it is.


原文:https://stackoverflow.com/questions/39125486
更新时间:2023-06-05 09:06

最满意答案

如果'列'在索引中。

In [217]: df.loc[(df.index.get_level_values('Site In') == 'Mid') | 
                 (df.index.get_level_values('Site Out') == 'Mid')]
Out[217]:
                                         v
Site In Site Out Transmission Commodity
Mid     North    hvac         Elec       1
        South    hvac         Elec       1
North   Mid      hvac         Elec       1
South   Mid      hvac         Elec       1

如果它是一个扁平的数据帧,请使用

In [168]: df.loc[(df['Site In'] == 'Mid') | (df['Site Out'] == 'Mid')]
Out[168]:
  Site In Site Out Transmission Commodity
0     Mid    North         hvac      Elec
1     Mid    South         hvac      Elec
2   North      Mid         hvac      Elec
4   South      Mid         hvac      Elec

要么

In [169]: df.loc[df['Site In'].eq('Mid') | df['Site Out'].eq('Mid')]
Out[169]:
  Site In Site Out Transmission Commodity
0     Mid    North         hvac      Elec
1     Mid    South         hvac      Elec
2   North      Mid         hvac      Elec
4   South      Mid         hvac      Elec

If 'columns' are in index.

In [217]: df.loc[(df.index.get_level_values('Site In') == 'Mid') | 
                 (df.index.get_level_values('Site Out') == 'Mid')]
Out[217]:
                                         v
Site In Site Out Transmission Commodity
Mid     North    hvac         Elec       1
        South    hvac         Elec       1
North   Mid      hvac         Elec       1
South   Mid      hvac         Elec       1

If it's a flat dataframe, use

In [168]: df.loc[(df['Site In'] == 'Mid') | (df['Site Out'] == 'Mid')]
Out[168]:
  Site In Site Out Transmission Commodity
0     Mid    North         hvac      Elec
1     Mid    South         hvac      Elec
2   North      Mid         hvac      Elec
4   South      Mid         hvac      Elec

Or

In [169]: df.loc[df['Site In'].eq('Mid') | df['Site Out'].eq('Mid')]
Out[169]:
  Site In Site Out Transmission Commodity
0     Mid    North         hvac      Elec
1     Mid    South         hvac      Elec
2   North      Mid         hvac      Elec
4   South      Mid         hvac      Elec

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