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

replacing_seaborn_distplot.ipynb

distplot is a deprecated function and will be removed in seaborn v0.14.0.

Please adapt your code to use either displot (a figure-level function with
similar flexibility) or kdeplot (an axes-level function for kernel density plots).

Thanks for such a detailed briefing, I am sure there would have been lots of thoughts and efforts in the change,
greatly appreciate @mwaskom . will check the latest version and provide feedbacks if any.

i got this error

ValueError: Multi-dimensional indexing (e.g. obj[:, None]) is no longer supported. Convert to a numpy array before indexing instead.

ax1 = sns.distplot(df['Salary'], hist=False, color="r", label="Actual Value")
sns.distplot(yhatRedge2, hist=False, color="b", label="Fitted Values" , ax=ax1)

i am facing error
ValueError: Multi-dimensional indexing (e.g. obj[:, None]) is no longer supported. Convert to a numpy array before indexing instead.

Thanks

…

On Wed, Sep 6, 2023, 7:40 PM Stephan ***@***.***> wrote: ***@***.**** commented on this gist. ------------------------------ An update, which really complicates life. You may also need to update matplotlib and numpy, and you'll have to hope your old scripts still work after drawing a stupid histogram. Btw: Line2D.set() got an unexpected keyword argument 'kind' Line2D.set() got an unexpected keyword argument 'hist' --> buggy buggy: only solution kdeplot — Reply to this email directly, view it on GitHub <https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751#gistcomment-4682959> or unsubscribe <https://github.com/notifications/unsubscribe-auth/BBXYBAL2DYFTORCGRXDGJ5TXZCG6RBFKMF2HI4TJMJ2XIZLTSKBKK5TBNR2WLJDHNFZXJJDOMFWWLK3UNBZGKYLEL52HS4DFQKSXMYLMOVS2I5DSOVS2I3TBNVS3W5DIOJSWCZC7OBQXE5DJMNUXAYLOORPWCY3UNF3GS5DZVRZXKYTKMVRXIX3UPFYGLK2HNFZXIQ3PNVWWK3TUUZ2G64DJMNZZDAVEOR4XAZNEM5UXG5FFOZQWY5LFVEYTCNRSHE3DAOBQU52HE2LHM5SXFJTDOJSWC5DF> . You are receiving this email because you commented on the thread. Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub> .

ohhh my life so great!! thanks.

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):

Really appreciate this, I imagine this takes a lot of work and the rewards are nebulous. Nonetheless, this is good stuff and your deserve kudos.

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

How can I add normal distribution over histogram? Using distplot it is seaborn.distplot(series, fit=scipy.stats.norm). But none of hisplot and displot has the"fit" argument

Noted. Thanks

Thank you. That was useful.

This is very helpful. Thank you.

getting unexpected keyword argument 'hist' when I try to disable histogram, when I am trying to just show density curve

ax1 = sns.displot(df['price'], hist=False, color="r", label="Actual Value")
sns.displot(Yhat, hist=False, color="b", label="Fitted Values" , ax=ax1)

1195 func = getattr(self, f"set_{k}", None) 1196 if not callable(func): -> 1197 raise AttributeError( 1198 errfmt.format(cls=type(self), prop_name=k)) 1199 ret.append(func(v)) 1200 if ret:

AttributeError: Rectangle.set() got an unexpected keyword argument 'hist'

You have to use kind="kde" and remove hist="False" like the code below:

ax1 = sns.displot(df['price'], kind="kde", color="r", label="Actual Value")
sns.displot(Y_hat, color="b", kind="kde", label="Fitted Values", ax=ax1) 

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