我的数据框看起来像这样
Year Event
2015 Men's 100m
2016 Men's Archery
2016 Women's Archery
2017 Men's Weightlifting
1998 Women's 100m
2002 Women's Sailing
我想在此数据框中添加一个新列,以标识它是否是男性事件。所需的输出如下所示:
Year Event Gender
2015 Men's 100m M
2016 Men's Archery M
2016 Women's Archery F
2017 Men's Weightlifting M
1998 Women's 100m F
2002 Women's Sailing F
这甚至可能吗?任何帮助将不胜感激
答案 0 :(得分:1)
您可以使用pd.Series.str
函数-
df['Gender'] = df.Event.str.contains('Men').apply(lambda x: 'M' if x else 'F')
答案 1 :(得分:0)
一个简单的方法是:
df['Gender'] = ['M' if 'Men' in row['Event'] else 'F' for _,row in df.iterrows()]