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

0 vote123 views1 answer
Python inline web server
Python
0 vote100 views1 answer
Inspectdb django
Python
33 votes115 views6 answers
Bs4 python
Python
0 vote106 views1 answer
Plant python documentation
Python
3 votes105 views1 answer
Python for data analysis
Python
3 votes106 views2 answers
How to print anything in python
Python
310 votes297 views10 answers
Font awesome cdn
Python
3 votes134 views1 answer
Python bounding box on image
Python
29 votes110 views5 answers
List comprehension python if else
Python
0 vote92 views1 answer
Rotate 90 degrees clockwise counter python
Python