Pandas calculate iqr

# Removing the outliers
def removeOutliers(data, col):
    Q3 = np.quantile(data[col], 0.75)
    Q1 = np.quantile(data[col], 0.25)
    IQR = Q3 - Q1
 
    print("IQR value for column %s is: %s" % (col, IQR))
    global outlier_free_list
    global filtered_data
 
    lower_range = Q1 - 1.5 * IQR
    upper_range = Q3 + 1.5 * IQR
    outlier_free_list = [x for x in data[col] if (
        (x > lower_range) & (x < upper_range))]
    filtered_data = data.loc[data[col].isin(outlier_free_list)]
 
 
for i in data.columns:
      if i == data.columns[0]:
      removeOutliers(data, i)
    else:
      removeOutliers(filtered_data, i)
 
  
# Assigning filtered data back to our original variable
data = filtered_data
print("Shape of data after outlier removal is: ", data.shape)

Source: geeksforgeeks.org

Similar codes

0 vote151 views2 answers
How to convert time from one timezone to another in python
Python
3 votes213 views2 answers
Pygame bg color
Python
0 vote155 views1 answer
Flask mongoengine getting started
Python
0 vote156 views2 answers
How to slice dataframe by timestamp
Python
1 vote152 views1 answer
Check where bool in a list python
Python
3 votes157 views1 answer
Get column index pandas
Python
0 vote172 views1 answer
Set colour to inserplaintext qtextedit in python
Python
0 vote174 views2 answers
Bar plot group by pandas
Python
31 votes166 views3 answers
How to add one to the index of a list
Python
4 votes169 views2 answers
Obama
Python