Question

我已经阅读了类似的问题，但是它们似乎都比我的复杂得多，我无法将这些知识转移到我的案子中。

我有这个数据框（'EUETS_ver`）

country year emissions iso2      sector
Austria 2005  33373156   AT   regulated
Austria 2005  33373156   AT unregulated
Austria 2005  33373156   AT       total
Belgium 2005  55363232   BE   regulated
Belgium 2005  55363232   BE unregulated
Belgium 2005  55363232   BE       total
Cyprus 2005   5078877    CY   regulated
Cyprus 2005   5078877    CY unregulated
Cyprus 2005   5078877    CY       total

我想用EUETS_ver$emissions为EUETS$sector的0替换unregulated中的值。

我想要这个：

country year emissions iso2      sector
Austria 2005  33373156   AT   regulated
Austria 2005  0          AT unregulated
Austria 2005  33373156   AT       total
Belgium 2005  55363232   BE   regulated
Belgium 2005  0          BE unregulated
Belgium 2005  55363232   BE       total
Cyprus 2005   5078877    CY   regulated
Cyprus 2005   0          CY unregulated
Cyprus 2005   5078877    CY       total

我知道这应该很容易，但这对我来说不是...

预先感谢

nordsee

Answer 1

>>> import pandas as pd
>>> countries_base = [{'Country': 'AU'}, {'Country': 'AL'}, {'Country': 'DZ'}]
>>> countries = [{"name":"Afghanistan","alpha-2":"AF","country-code":"004"},{"name":"Åland Islands","alpha-2":"AX","country-code":"248"},{"name":"Albania","alpha-2":"AL","country-code":"008"},{"name":"Algeria","alpha-2":"DZ","country-code":"012"}]
>>> df1 = pd.DataFrame(countries_base)
>>> df2 = pd.DataFrame(countries)
>>> m = pd.merge(df1, df2, how='inner', left_on='Country', right_on='alpha-2')
>>> if m.empty:
>>>     print('Country code does not exist') 
>>> else:
>>>     print('Country code exists')

根据同一行中的条件将值替换为0

1 个答案: