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]
only keep rows of a dataframe based on a column value
df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]
create dataframe based on column value
df.loc[(df['column_name'] >= A) & (df['column_name'] <= B)]
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