panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]
panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]
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
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