how to sort in pandas
// Single sort
>>> df.sort_values(by=['col1'],ascending=False)
// ascending => [False(reverse order) & True(default)]
// Multiple Sort
>>> df.sort_values(by=['col1','col2'],ascending=[True,False])
// with apply()
>>> df[['col1','col2']].apply(sorted,axis=1)
// axis = [1 & 0], 1 = 'columns', 0 = 'index'Python sort dataframe by list
# sorts the dataframe so resulting order of ColumnName matches order in list
df = df.set_index(ColumnName).reindex(list_to_sort_by).reset_index()python sort list in reverse
#1 Changes list
list.sort(reverse=True)
#2 Returns sorted list
sorted(list, reverse=True)pandas sort by list
# Convert Tm-column to category and in set the sorter as categories hierarchy
# Youc could also do both lines in one just appending the cat.set_categories()
df.Tm = df.Tm.astype("category")
df.Tm.cat.set_categories(sorter, inplace=True)
print(df.Tm)
Out[48]:
0 CHH
1 VAN
2 TOT
3 OKC
4 DAL
Name: Tm, dtype: category
Categories (38, object): [TOT < ATL < BOS < BRK ... UTA < VAN < WAS < WSB]
df.sort_values(["Tm"]) ## 'sort' changed to 'sort_values'
Out[49]:
Age G Player Tm Year id
2 22 60 Ratko Varda TOT 2001 13950
0 27 6 Cedric Hunter CHH 1991 2967
4 31 81 Adrian Caldwell DAL 1997 6169
3 34 52 Ryan Bowen OKC 2009 6141
1 25 7 Maurice Baker VAN 2004 5335Copyright © 2021 Codeinu
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