Remove Outliers in Pandas DataFrame using Percentiles

Question

I have a DataFrame df with 40 columns and many records.

df:

User_id | Col1 | Col2 | Col3 | Col4 | Col5 | Col6 | Col7 |...| Col39

For e

Answer 1

Use this code and don't waste your time:

Q1 = df.quantile(0.25)
Q3 = df.quantile(0.75)
IQR = Q3 - Q1

df = df[~((df < (Q1 - 1.5 * IQR)) |(df > (Q3 + 1.5 * IQR))).any(axis=1)]

in case you want specific columns:

cols = ['col_1', 'col_2'] # one or more

Q1 = df[cols].quantile(0.25)
Q3 = df[cols].quantile(0.75)
IQR = Q3 - Q1

df = df[~((df[cols] < (Q1 - 1.5 * IQR)) |(df[cols] > (Q3 + 1.5 * IQR))).any(axis=1)]