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iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment

iterate

# 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 :
", df)
  
print("
Iterating over rows using index attribute :
")
  
# iterate through each row and select 
# 'Name' and 'Stream' column respectively.
for ind in df.index:
     print(df['Name'][ind], df['Stream'][ind])
Comment
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