iterate

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# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 8/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate python

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Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

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0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 10/10 Helpfulness 2/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

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Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 9/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

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Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 9/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

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Share Copy Link

Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 9/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

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Share Copy Link

Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 9/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

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Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 9/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

Link to this answer
Share Copy Link

Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 9/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

Link to this answer
Share Copy Link

Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

0

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 8/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

Link to this answer
Share Copy Link

Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

Comment

-1

# import pandas package as pd
import pandas as pd
  
# Define a dictionary containing students data
data = {'Name': ['Ankit', 'Amit', 'Aishwarya', 'Priyanka'],
                'Age': [21, 19, 20, 18],
                'Stream': ['Math', 'Commerce', 'Arts', 'Biology'],
                'Percentage': [88, 92, 95, 70]}
  
# Convert the dictionary into DataFrame
df = pd.DataFrame(data, columns = ['Name', 'Age', 'Stream', 'Percentage'])
  
print("Given Dataframe :\n", df)
  
print("\nIterating over rows using index attribute :\n")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])

Popularity 8/10 Helpfulness 1/10 Language python

Source: www.geeksforgeeks.org

Tags: iterate

Share

Link to this answer
Share Copy Link

Contributed on Mar 21 2022

Harish Vasanth

0 Answers Avg Quality 2/10

iterate

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