Find maximum value of a column and return the corresponding row values using Pandas

Question

Using Python Pandas I am trying to find the Country  amp  Place with the maximum value   This returns the maximum value   data groupby   Country   Place     Value   max     But how do I get the corresponding Country and Place name

User · Answer

I think the easiest way to return a row with the maximum value is by getting its index. argmax() can be used to return the index of the row with the largest value.

index = df.Value.argmax()

Now the index could be used to get the features for that particular row:

df.iloc[df.Value.argmax(), 0:2]

User · Answer

I d recommend using nlargest for better performance and shorter code  import pandas  df col name  value counts   nlargest n 1

User · Answer

The country and place is the index of the series  if you don t need the index  you can set as index False   df groupby   country   place    as index False   value   max     Edit   It seems that you want the place with max value for every country  following code will do what you want   df groupby  country   apply lambda df df irow df value argmax

User · Answer

You can use  print df df  Value    df  Value   max

User · Answer

df df  Value    df  Value   max      This will return the entire row with max value

User · Answer

I encountered a similar error while trying to import data using pandas  The first column on my dataset had spaces before the start of the words  I removed the spaces and it worked like a charm

User · Answer

Assuming df has a unique index  this gives the row with the maximum value   In  34   df loc df  Value   idxmax    Out 34    Country        US Place      Kansas Value         894 Name  7   Note that idxmax returns index labels  So if the DataFrame has duplicates in the index  the label may not uniquely identify the row  so df loc may return more than one row   Therefore  if df does not have a unique index  you must make the index unique before proceeding as above  Depending on the DataFrame  sometimes you can use stack or set index to make the index unique  Or  you can simply reset the index  so the rows become renumbered  starting at 0    df   df reset index

User · Answer

Use the index attribute of DataFrame  Note that I don t type all the rows in the example   In  14   df   data groupby   Country   Place     Value   max    In  15   df index Out 15    MultiIndex  Spain  Manchester  UK     London      US     Mchigan            NewYork      In  16   df index 0  Out 16     Spain    Manchester    In  17   df index 1  Out 17     UK    London     You can also get the value by that index   In  21   for index in df index      print index  df index                   Spain    Manchester   512   UK    London   778   US    Mchigan   854   US    NewYork   562   Edit  Sorry for misunderstanding what you want  try followings   In  52   s data max    In  53   print   s   s   s     s  Country    s  Place    s  Value    US  NewYork  854

User · Answer

In order to print the Country and Place with maximum value  use the following line of code   print df   Country    Place    df Value    df Value max

User · Answer

My solution for finding maximum values in columns   df ix df idxmax        also minimum   df ix df idxmin

User · Answer

import pandas df is the data frame you create   Use the command     df1 df   Country   Place    df Value    df  Value   max      This will display the country and place whose value is maximum

[python] Find maximum value of a column and return the corresponding row values using Pandas

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