Outliers removal

Outliers removal pandas

df = pd.DataFrame(np.random.randn(100, 3))

from scipy import stats
df[(np.abs(stats.zscore(df)) < 3).all(axis=1)]

Source: stackoverflow.com

Outlier removal

q1 = df['column'].quantile(0.25)
q3 = df['column'].quantile(0.75)
iqr = q3 - q1

df.loc[df['column'] > (q3 + 1.5 * iqr) | df['column'] < (q1 - 1.5 * iqr), 'column'] = df['column'].mean()

Outliers removal

#Removing outliers first then skewness
from scipy.stats import zscore
z=abs(zscore(df))
print(z.shape)
df=df[(z<3).all(axis=1)]
df.shape

Similar codes

1 vote115 views1 answer
Python run 2 functions at the same time
Python
1 vote107 views1 answer
Flask define template folder
Python
0 vote114 views1 answer
Python first
Python
0 vote112 views1 answer
Django rest framework not getting form
Python
-1 vote112 views1 answer
Get_int python
Python
21 votes109 views5 answers
Basic tkinter window
Python
0 vote122 views1 answer
Somma array python
Python
0 vote110 views1 answer
How to flatten the image dataset
Python
3 votes131 views2 answers
Godot restart scene
Python
2 votes118 views2 answers
For each loop python 3
Python