dataframe sort

// 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'

# Pandas for Python

df.sort_values(by='col1',asending=True)
# OR
df['col1'].sort_values()

DataFrame.sort_values(self, by, axis=0, ascending=True,
                      inplace=False, kind='quicksort',
                      na_position='last',
                      ignore_index=False)

# Example
df.sort_values(by=['ColToSortBy'])

# sort the dataframe in R using multiple variable with Dplyr
mydata %>% arrange(desc(mpg), gear)

sort_na_first = gapminder.sort_values('lifeExp',na_position='first')