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iterate over rows dataframe

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Victorious Vicuña answered on February 23, 2020 Popularity 10/10 Helpfulness 8/10

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iterate over rows dataframe

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df = pd.DataFrame([{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}])
for index, row in df.iterrows():
    print(row['c1'], row['c2'])

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Source: stackoverflow.com

Tags: dataframe iterate python rows

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Contributed on May 07 2020

Victorious Vicuña

0 Answers Avg Quality 2/10

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pandas loop through rows

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for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Output: 
   10 100
   11 110
   12 120

Popularity 10/10 Helpfulness 10/10 Language python

Source: stackoverflow.com

Tags: pandas pa

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Contributed on Feb 23 2020

Real Ratel

0 Answers Avg Quality 2/10

python - iterate with the data frame

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# Option 1
for row in df.iterrows():
    print row.loc[0,'A']
    print row.A
    print row.index()

# Option 2
for i in range(len(df)) : 
  print(df.iloc[i, 0], df.iloc[i, 2])

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: frame fram

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Contributed on Jul 02 2020

Andrea Perlato

0 Answers Avg Quality 2/10

iterate over dataframe

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# Method A for single column dataframe

cell = list()
for i in range(len(df)):    
    cell_value=df.iloc[i][0]  
    cell.append(cell_value)

# Method B for multiple column dataframe

 for index, row in df.iterrows():
     print(row["c1"], row["c2"])

# Method C 

columns = list(df.columns)  
for i in columns: 
    print (df[i][2])

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Oct 01 2022

JJSSEEXX

0 Answers Avg Quality 2/10

Loop over pandas dataframe

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for index, row in df.iterrows():
    print (index,row["Fee"], row["Courses"])

Popularity 10/10 Helpfulness 5/10 Language python

Source: sparkbyexamples.com

Tags: dataframe data

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Contributed on Jul 02 2023

UGS

0 Answers Avg Quality 2/10

pandas iterate rows

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import pandas as pd
import numpy as np

df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})

for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: iterate

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Contributed on Dec 09 2020

Different Dunlin

0 Answers Avg Quality 2/10

how to iterate over rows in pandas

Comment

-2

import pandas as pd

df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
df = df.reset_index()  # make sure indexes pair with number of rows

for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Popularity 10/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: iterate

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Contributed on Jul 04 2022

anna Kay

0 Answers Avg Quality 2/10

iterate rows and columns dataframe

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# importing pandas as pd
import pandas as pd
  
# dictionary of lists
dict = {'name':["aparna", "pankaj", "sudhir", "Geeku"],
        'degree': ["MBA", "BCA", "M.Tech", "MBA"],
        'score':[90, 40, 80, 98]}
 
# creating a dataframe from a dictionary
df = pd.DataFrame(dict)
 
# iterating over rows using iterrows() function
for i, j in df.iterrows():
    print(i, j)
    print()

Popularity 10/10 Helpfulness 3/10 Language python

Source: www.geeksforgeeks.org

Tags: dataframe data

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Contributed on Apr 30 2022

Mauricio Obando Gomez

0 Answers Avg Quality 2/10

how to iterate through a pandas dataframe

Comment

# creating a list of dataframe columns 
columns = list(df) 
  
for i in columns: 
  
    # printing the third element of the column 
    print (df[i][2])

Popularity 10/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Feb 27 2021

Bored Beaver

0 Answers Avg Quality 2/10

iterate over rows dataframe

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