Answers for "sorting a pandas column"

12

sorting by column in pandas

# Python, Pandas
# Sorting dataframe df on the values of a column col1

# Return sorted array without modifying the original one
df.sort_values(by=["col1"]) 

# Sort the original array permanently
df.sort_values(by=["col1"], inplace = True)
Posted by: Guest on April-08-2020
0

Returns a new DataFrame sorted by the specified column(s)

# Returns a new DataFrame sorted by the specified column(s)

df.sort(df.age.desc()).collect()
# [Row(age=5, name=u'Bob'), Row(age=2, name=u'Alice')]
df.sort("age", ascending=False).collect()
# [Row(age=5, name=u'Bob'), Row(age=2, name=u'Alice')]
df.orderBy(df.age.desc()).collect()
# [Row(age=5, name=u'Bob'), Row(age=2, name=u'Alice')]
from pyspark.sql.functions import *
df.sort(asc("age")).collect()
# [Row(age=2, name=u'Alice'), Row(age=5, name=u'Bob')]
df.orderBy(desc("age"), "name").collect()
# [Row(age=5, name=u'Bob'), Row(age=2, name=u'Alice')]
df.orderBy(["age", "name"], ascending=[0, 1]).collect()
# [Row(age=5, name=u'Bob'), Row(age=2, name=u'Alice')]
Posted by: Guest on April-20-2020

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