how to pull a subset from pandas dataframe based on condition code example

Example 1: panda - subset based on column value

import pandas as pd
import numpy as np
df = pd.DataFrame({'A': 'foo bar foo bar foo bar foo foo'.split(),
                   'B': 'one one two three two two one three'.split(),
                   'C': np.arange(8), 'D': np.arange(8) * 2})
print(df)
sub_df = df.loc[df['A'] == 'foo'] # Subset based on specific A value

Example 2: python - subset dataframe based on unique value of a clumn

# Keep first duplicate value
my_df = my_df.drop_duplicates(subset=['my_var'])

# Keep last duplicate value
my_df = my_df.drop_duplicates(subset=['my_var'], keep='last')

# Remove all duplicate values
my_df = my_df.drop_duplicates(subset=['my_var'], keep=False)