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DataPsycho avatar DataPsycho commented on July 30, 2024

I was looking for that solution too, but could not find any help. But I was able to find a hack; For example in case of popular titanic data set from kaggle. Box plot of age by passenger class:

    import cufflinks as cf
    cf.go_offline()

    box_age = train[['Pclass', 'Age']]
    box_age.pivot(columns='Pclass', values='Age').iplot(kind='box')

You can do it in one step but in two (or three step by storing the pivot table in a object) step code looks clean. So Second step I am pivoting the data. So there will be 1 non-null value per rows. iplot can take care about the null values. I have tested with seaborn and iplot the give me the same answer. So its reliable. In case if you want to try both. Here is seaborn code:

   import pandas as pd
   import numpy as np
   import matplotlib.pyplot as plt
   import seaborn as sns
   %matplotlib inline

   plt.figure(figsize=(12, 7))
   sns.boxplot(x='Pclass', y='Age', data=train, palette='winter')

Note: I am using Jupyter Notebook that's why there is %matplotlib inline

from cufflinks.

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