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check for duplicates in a pandas Series

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Condemned Centipede answered on December 2, 2020 Popularity 10/10 Helpfulness 4/10

answer check for duplicates in a pandas Series

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check for duplicates in a pandas Series

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animals = pd.Series(['lama', 'cow', 'lama', 'beetle', 'lama'])
>>> animals.duplicated()

Popularity 10/10 Helpfulness 4/10 Language python

Source: pandas.pydata.org

Tags: pandas python series

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Contributed on Sep 28 2022

Condemned Centipede

0 Answers Avg Quality 2/10

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count how many duplicates python pandas

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df.duplicated(subset='one', keep='first').sum()

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Source: stackoverflow.com

Tags: count coun

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Contributed on Dec 02 2020

Trustworthy Whale

0 Answers Avg Quality 2/10

Check for duplicate values in dataframe

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df.duplicated().sum()

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Source: levelup.gitconnected.com

Tags: dataframe data

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Contributed on Feb 01 2022

Yuwotmate

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how to check for duplicates in a column in python

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boolean = df['Student'].duplicated().any() # True

Popularity 10/10 Helpfulness 7/10 Language python

Source: stackoverflow.com

Tags: python py

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Contributed on Apr 10 2021

Troubled Thrush

0 Answers Avg Quality 2/10

pandas show duplicate rows

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import pandas as pd

# Create a sample DataFrame
data = {'Name': ['John', 'Bob', 'Alice', 'John', 'Bob'],
        'Age': [25, 30, 28, 25, 30]}
df = pd.DataFrame(data)

# Find and display duplicate rows
duplicate_rows = df[df.duplicated()]
print(duplicate_rows)

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Source: Grepper

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Contributed on Sep 11 2023

YOU.com

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Display if the column(s) contain duplicates in the DataFrame

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# Display if the column(s) contain duplicates in the DataFrame
df.sum().duplicated()

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Source: Grepper

Tags: contain

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Contributed on Jul 04 2022

Elisabeth Engering

0 Answers Avg Quality 2/10

how to find duplicates in pandas

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-1

ids = df["ID"]
df[ids.isin(ids[ids.duplicated()])].sort_values("ID")

Popularity 10/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: find

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Contributed on Jul 27 2022

Muhammed ALAPAN

0 Answers Avg Quality 2/10

pandas duplicate

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# Drop complete duplicates
df.drop_duplicates(inplace = True)

# Column names to check for partial duplicates
column_names = ['A','B','C']
duplicates = df.duplicated(subset = column_names, keep = False)
# See partial duplicate values
df[duplicates]

# Combine result for partial duplicates
summaries = {'D': 'max', 'E': 'mean'}
df = df.groupby(by = column_names).agg(summaries).reset_index()

#################### Record linkage ##########################
##### Used for Getting rid of duplicates from 2 different dataframes #######
import recordlinkage

# Create indexing object
indexer = recordlinkage.Index()

# Generate pairs blocked on index common in 2 dataframes
indexer.block('col')
pairs = indexer.index(df1, df2)
# See pairs
print(pairs)

# Create a Compare object
compare_cl = recordlinkage.Compare()

# Find exact matches for pairs of col1 and col2
compare_cl.exact('df1_col1', 'df2_col1', label='col1')
compare_cl.exact('df1_col2', 'df2_col2', label='col2')

# Find close matches for pairs of surname and address_1 using string similarity
compare_cl.string('df1_col3', 'df2_col3', threshold=0.85, label='col3')
compare_cl.string('df1_col4', 'df2_col4', threshold=0.85, label='col4')

# Find matches
potential_matches = compare_cl.compute(pairs, df1, df2)
# See potential matches
print(potential_matches)
# Filter matches where more than 2 columns match
matches = potential_matches[potential_matches.sum(axis = 1) => 2]
print(matches)
# See index
matches.index
# Get index of duplicates in df2
duplicate_rows = matches.index.get_level_values(1)
# Finding duplicates in df2
df2_duplicates = df2[df2.index.isin(duplicate_rows)]
# Finding rows in df2 that are not duplicates
df2_unique = df2[~df2.index.isin(duplicate_rows)]
# Link the DataFrames!
full_df = df1.append(df2_unique)

Popularity 8/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: pandas python py

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Contributed on Nov 29 2023

Innocent Iguana

0 Answers Avg Quality 2/10

pandas count duplicateds

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In [28]:
df.groupby(df.columns.tolist(),as_index=False).size()

Out[28]:
one    three  two  
False  False  True     1
True   False  False    2
       True   True     1
dtype: int64

Popularity 10/10 Helpfulness 2/10 Language python

Source: stackoverflow.com

Tags: count coun

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Contributed on Oct 20 2022

Guisardo

0 Answers Avg Quality 2/10

check for duplicates in a pandas Series

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