A guide to replacing the deprecated `seaborn.distplot` function.

replacing_seaborn_distplot.ipynb

Thank you for the explanations!

Thanks, good stuff!

Thanks, is perfect

Good Explaination

cool, now I know what to do lol.

thanks

Thank you sir...This notebook was a great help

Thanks, it was a great...

Hello, thanks for your guidness. I try your help untill in[12] but i get this message name 'df ' is not defined. please help to solve this problem. my python version is 3.11.

can your share your code to fix the error

I guess you figured out that df is just the variable Mr. Waskom used for his dataset.

Not sure who manages this webpage , but this still refers to distplot

Not sure who manages this webpage , but this still refers to distplot

Looks like it has been updated now

Thank you for this 🚀

Thank you for this helpful information

Thanks for this information. I implemented a few of these latest changes in my visualization code just now.

Thanks! Those illustrations really help.

Hi All, I am facing below errors while using seaborn displot and hisplot: Please help me in resolving the issue. Note: Same error with sns.histplot(tips["total_bill"])

Code: import seaborn as sns tips = sns.load_dataset('tips') sns.displot(tips["total_bill"])

Errors C:\Users\xxx\PycharmProjects\HelloWorld\venv\Lib\site-packages\seaborn_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead if pd.api.types.is_categorical_dtype(vector): C:\Users\xxx\PycharmProjects\HelloWorld\venv\Lib\site-packages\seaborn_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead. with pd.option_context('mode.use_inf_as_na', True):

@swapnak1512
The messages you're seeing are warnings, not errors, so your plot should still render.
suppress the warnings in your scripts.
import warnings
warnings.filterwarnings("ignore")

import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset('tips')
sns.displot(tips["total_bill"])
plt.show()

i know this is late but this answer could help somone else having the same kind of warnings
Have a nice day