英文:
Subtract two columns from different DataFrame
问题
我想从DataFrame dfA的Country列中减去DataFrame dfB中的Country列。
我尝试了以下代码：
A_minus_B = dfA['Country'] - dfB['Country']类型错误：str和str不能相减
我的期望是：
dfA Country1. United States2. Puerto Rico3. ColombiadfB Country1. Puerto Rico2. Argentina3. CanadaA_minus_B Country1. United States2. Colombia3. Argentina
英文:
I want to subtract column Country from DataFrame dfA with column Country in DataFrame dfB.
I'm trying the following code:
A_minus_B = dfA['Country'] - dfB['Country']Typerror: - with str & str
What I'm expecting is:
dfA Country1. United States2. Puerto Rico3. ColombiadfB Country1. Puerto Rico2. Argentina3. CanadaA_minusB Country1. United States2. Colombia3. Argentina
答案1
得分: 2
pd.concat([dfA, dfB]).drop_duplicates(keep=False, ignore_index=True)
使用 `pd.concat`：```pythonpd.concat([dfA, dfB]).drop_duplicates(keep=False, ignore_index=True)Country0 United States1 Colombia2 Argentina3 Canada
<details><summary>英文:</summary>Use `pd.concat`:
>>> pd.concat([dfA, dfB]).drop_duplicates(keep=False, ignore_index=True)
Country
0 United States
1 Colombia
2 Argentina
3 Canada
答案2
得分: 1
A_minus_B = dfA.loc[~dfA['Country'].isin(dfB['Country']), 'Country']
英文:
You can use the below
A_minus_B = dfA.loc[~dfA['Country'].isin(dfB['Country']), 'Country']
答案3
得分: 0
你想创建 dfC = dfA.merge(dfB, "Country")。
将所有内容合并到一个数据框中，然后你就可以很好地执行减法。
你忽略了在你的问题中提供一个可复现的示例。一旦你解决了技术细节，描述解决方案和你得到的结果。
英文:
You want to create dfC = dfA.merge(dfB, "Country").
With everything in a single dataframe, then you will then be
in a good position to perform the subtraction.
You neglected to put a reproducible example in your question.
Once you work out the technical details,
describe
the solution and the results that you obtain.
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