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lesutton/outliers.py

Created October 2, 2022 19:18
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Calculate Outliers
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outliers.py
plt.boxplot(dataframe['Age'])
plt.title('Boxplot of Age with Outlier Details Below')
plt.ylabel('Age')
plt.show()
def get_outliers(df):
q1=df.quantile(0.25)
q3=df.quantile(0.75)
IQR=q3-q1
outliers = df[((df<(q1-1.5*IQR)) | (df>(q3+1.5*IQR)))]
return outliers
outliers = get_outliers(dataframe['Age'])
print("There are " + str(len(outliers)) + " Outliers. The maximum outlier value is " + str(outliers.max()) + " and the minimum outlier value is " + str(outliers.min()))
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