我想把第二大数值归在数据栏内。
当我使用<代码>.nlargest(n)时,通过制定<代码>float(<>t>>/code>,你可以取得最高的个人价值,但当你在上面增加<代码><<>n>/code>时,其排名第一,第二。 我只想像我的变数那样确定第二大。
n = 2
largest_ja = narr_df.nlargest(n, columns= Rate_Variance )[ Rate_Variance ].to_string(index=False)
The results below when n = 2. I can not set float(largest_ja) as it is a table
2546 46363.899240
9109 9299.873859
You can take the idxmin() of the n largest results, so in your case it would be something along that line:
df.apply(lambda x: x.nlargest(2).idxmin())
仅增加潘达斯的数据范围:
pd.DataFrame(df_xls.groupby([ Category , Sub-Category ])[ Sales ].sum().groupby([ Category ]).nlargest(2))
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