Answers for "sort list pandas"

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   5335