我有以下熊猫数据框
is_and_mp market_state reason
'100' None NaN
'400' None NaN
'100' ALGO NaN
'400' OPENING NaN
我想写两个映射,如果is_and_mp
或者是'100'
or '400'
, and market_state == None
and reason == NaN
,然后映射market_state =CONTINUOUS_TRADING
.
所以输出将是:
is_and_mp market_state reason
'100' CONTINUOUS_TRADING NaN
'400' CONTINUOUS_TRADING NaN
'100' ALGO NaN
'400' OPENING NaN
重要的是现有映射不要改变!谢谢
Use DataFrame.loc http://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.loc.html带有链式面具&
对于按位AND
:
df.loc[df.is_and_mp.isin([ '100', '400']) & df.market_state.isna() & df. reason.isna(), 'market_stat'] = 'CONTINUOUS_TRADING'
或者如果值为数字:
df.loc[df.is_and_mp.isin([ 100, 400]) & df.market_state.isna() & df. reason.isna(), 'market_stat'] = 'CONTINUOUS_TRADING'
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