Assessing rows from dataFrame with boolean indexes

Assessing rows from dataFrame with boolean indexes (True / False)

 import pandas as pd

# Create a sample DataFrame

data = {

    "Student": ["Alice", "Bob", "Charlie", "David"],

    "Math": [85, 90, 78, 88],

    "English": [92, 80, 85, 90],

    "Science": [88, 79, 93, 85]

}

df = pd.DataFrame(data,index=[True,False,True,False])

df=df.loc[True]

print(df)

Assessing rows from dataFrame with boolena indexes (0/1)

 import pandas as pd

# Create a sample DataFrame

data = {

    "Student": ["Alice", "Bob", "Charlie", "David"],

    "Math": [85, 90, 78, 88],

    "English": [92, 80, 85, 90],

    "Science": [88, 79, 93, 85]

}

df = pd.DataFrame(data,index=[0,1,0,1])

df=df.loc[1]

print(df)

Assessing rows from dataFrame with boolena indexes 

 import pandas as pd

# Create a sample DataFrame

data = {

    "Student": ["Alice", "Bob", "Charlie", "David"],

    "Math": [85, 90, 78, 88],

    "English": [92, 80, 85, 90],

    "Science": [88, 79, 93, 85]

}

df = pd.DataFrame(data,index=[True,False,True,False])

df=df.loc[df["Math"]>85]

print(df)