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

3 votes224 views2 answers
Python replace values in a matrix
Python
0 vote304 views1 answer
Rebinding a list stored in a Flask Session
Python
1 vote280 views1 answer
Python string assignment by index
Python
0 vote259 views1 answer
CMake Error at pybind11/tools/FindPythonLibsNew.cmake:131 (message): Python config failure:
Python
0 vote245 views1 answer
Pandas find list based on condition
Python
1 vote280 views2 answers
Conda import django
Python Django
0 vote250 views1 answer
Display all resources in table pandas
Python
0 vote268 views1 answer
Xmlrpc get all posts
Python
0 vote277 views1 answer
Python how to initialize wikipediaapi
Python
0 vote269 views1 answer
Pop element from heap python
Python