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I'm trying to sort a dataframe by descending. I put 'False' in the ascending argument, but my order is still ascending.
My code is:
from pandas import DataFrame import pandas as pd d = {'one':[2,3,1,4,5], 'two':[5,4,3,2,1], 'letter':['a','a','b','b','c']} df = DataFrame(d) test = df.sort(['one'], ascending=[False]) but the output is
letter one two 2 b 1 3 0 a 2 5 1 a 3 4 3 b 4 2 4 c 5 1 
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Python List sort() - Sorts Ascending or Descending List. The list. sort() method sorts the elements of a list in ascending or descending order using the default < comparisons operator between items. Use the key parameter to pass the function name to be used for comparison instead of the default < operator.
Sort Dataframe rows based on columns in Descending Order To sort all the rows in above datafarme based on columns in descending order pass argument ascending with value False along with by arguments i.e. It will sort all the rows in Dataframe based on column 'Name' in descending orders.
You can sort pandas DataFrame by one or multiple (one or more) columns using sort_values() method and by ascending or descending order. To specify the order, you have to use ascending boolean property; False for descending and True for ascending. By default, it is set to True.
Sorting Your DataFrame on a Single Column. To sort the DataFrame based on the values in a single column, you'll use . sort_values() . By default, this will return a new DataFrame sorted in ascending order.
New syntax (either):
test = df.sort_values(['one'], ascending=[False]) test = df.sort_values(['one'], ascending=[0]) If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
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