DataFrame过滤数据时出现"The truth value of a Series is ambiguous"错误及其解决办法
使用如下方法对DataFrame进行数据过虑:import pandas as pddata = pd.read_csv('Haiti.csv')print data[data['LATITUDE']>18 and data['LATITUDE']<20]或import pandas as pddata = pd.read_csv('Haiti.csv')p...
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问答
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使用如下方法对DataFrame进行数据过虑:
import pandas as pd
data = pd.read_csv('Haiti.csv')
print data[data['LATITUDE']>18 and data['LATITUDE']<20]
或
import pandas as pd
data = pd.read_csv('Haiti.csv')
print data[data.LATITUDE>18 and data.LATITUDE<20]
均会出现错误“ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().”
正确的做法是:
import pandas as pd
data = pd.read_csv('Haiti.csv')
print data[(data.LATITUDE>18) & (data.LATITUDE<20)]
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