Issue 1:
Hi,

Pairplot with diag_kind = "kde" used to work with version 0.9.0 but it fais with version 0.10.0.

Error message: RuntimeError: Selected KDE bandwidth is 0. Cannot estiamte density.

Current version: seaborn 0.10.0 , matplotlib 3.1.3

Dataset: Publicly available data of Wisconsin breast cancer

Dataset is attached.

breast-cancer-wisconsin.data.zip

Link to dataset: http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Original)

Code Script:

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

col_names = ['id', 'Clump Thickness', 'Uniformity of Cell Size',

'Uniformity of Cell Shape', 'Marginal Adhesion',

'Single Epithelial Cell Size', 'Bare Nuclei', 'Bland Chromatin',

'Normal Nucleoli', 'Mitoses', 'Class']

df = pd.read_csv("breast-cancer-wisconsin.data.csv", names=col_names,

header=None)

df['Bare Nuclei'].replace("?", np.NAN, inplace=True)

df = df.dropna()

import seaborn as sns

sns.pairplot(df , diag_kind = "kde", hue="Class")

Comment: The dataset contains discrete values with very less variation in values (but variation is not zero, the values vary from 1 to 10 though majority have repeating value hence Variance is low). Low variation is probably causing the error in KDE.

Issue 2:
Description

Hey Everybody,

I have encountered unexpected behavior when I tried to create a seaborn distplot from an array with many zeros. I know that this is probably a weird corner case that doesn't seem very urgent but I think there is some value reporting it. I could not manage to create suitable synthetic data but I have included my original data to reproduce it, I hope that's ok.

Keep on the good work with seaborn, its a pleasure using it!

Best,

Henry

Versions:

Seaborn='0.10.0'

Matplotlib='3.1.3'

Error Message:

C:\Users\...\.conda\envs\...\python.exe C:/Users/henry/.PyCharmCE2019.3/config/scratches/scratch.py
Traceback (most recent call last):
File "C:\Users\...\.conda\envs\...\lib\site-packages\statsmodels\nonparametric\kde.py", line 451, in kdensityfft
bw = float(bw)
ValueError: could not convert string to float: 'scott'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:/Users/.../.PyCharmCE2019.3/config/scratches/scratch.py", line 555, in <module>
ax = sns.distplot(a, rug=True, hist=False, label='UW')
File "C:\Users\...\.conda\envs\...\lib\site-packages\seaborn\distributions.py", line 233, in distplot
kdeplot(a, vertical=vertical, ax=ax, color=kde_color, **kde_kws)
File "C:\Users\...\.conda\envs\...\lib\site-packages\seaborn\distributions.py", line 705, in kdeplot
cumulative=cumulative, **kwargs)
File "C:\Users\...\.conda\envs\...\lib\site-packages\seaborn\distributions.py", line 295, in _univariate_kdeplot
cumulative=cumulative)
File "C:\Users\...\.conda\envs\...\lib\site-packages\seaborn\distributions.py", line 367, in _statsmodels_univariate_kde
kde.fit(kernel, bw, fft, gridsize=gridsize, cut=cut, clip=clip)
File "C:\Users\...\.conda\envs\...\lib\site-packages\statsmodels\nonparametric\kde.py", line 140, in fit
clip=clip, cut=cut)
File "C:\Users\...\.conda\envs\....\lib\site-packages\statsmodels\nonparametric\kde.py", line 453, in kdensityfft
bw = bandwidths.select_bandwidth(X, bw, kern) # will cross-val fit this pattern?
File "C:\Users\....\.conda\envs\....\lib\site-packages\statsmodels\nonparametric\bandwidths.py", line 174, in select_bandwidth
raise RuntimeError(err)
RuntimeError: Selected KDE bandwidth is 0. Cannot estiamte density.

Process finished with exit code 1

Example code

very long example code

import seaborn as sns

a = [ 6.44158112e+00, 2.22931748e+00, 1.90461774e+00, 1.62838104e+00,
1.44450213e+00, 1.32120694e+00, -1.37449727e+00, -1.34068670e+00,
-1.22437811e+00, 1.08203506e+00, 1.00687963e+00, -1.08464463e+00,
-9.92682231e-01, 8.77397031e-01, -8.18224584e-01, -7.88574259e-01,
-7.39802046e-01, 7.26716930e-01, 7.20018861e-01, 7.05212335e-01,
-6.44688312e-01, 6.36198782e-01, -5.76895770e-01, 6.03964108e-01,
5.76204893e-01, 5.69689909e-01, 5.52118112e-01, 5.25401516e-01,
-4.18012528e-01, 4.59933207e-01, 4.43555421e-01, 4.41596376e-01,
4.39098156e-01, 4.28526102e-01, 4.20569936e-01, 4.15588319e-01,
3.98167467e-01, 3.79937382e-01, 3.69704675e-01, 3.48799274e-01,
3.15384843e-01, 3.15267651e-01, 3.12962586e-01, 2.89400742e-01,
2.95672458e-01, -2.66440651e-01, 2.53409343e-01, 2.45168039e-01,
2.33842507e-01, 2.18591293e-01, 2.17178734e-01, 2.14425229e-01,
2.11277792e-01, 2.10006902e-01, 1.97309425e-01, 1.82623551e-01,
1.78820952e-01, 1.75251894e-01, 1.69346510e-01, -2.23685152e-01,
-2.23374659e-01, -2.17195278e-01, -2.20288950e-01, 1.63397981e-01,
1.55450837e-01, 1.55034695e-01, 1.50501798e-01, 1.42519918e-01,
1.31807907e-01, 1.38860666e-01, 1.35390009e-01, 1.37646864e-01,
1.37242513e-01, 1.21238699e-01, 1.19726271e-01, 1.13726245e-01,
1.11266238e-01, 1.10557847e-01, 1.08976907e-01, -2.14119343e-01,
1.05026061e-01, 1.05515901e-01, 9.95445982e-02, 9.10744981e-02,
-2.09274377e-01, -2.03248740e-01, -2.01819404e-01, -2.01263355e-01,
-2.00151327e-01, -1.99609002e-01, -1.99324882e-01, -1.99020335e-01,
-1.98850700e-01, -1.97380528e-01, -1.95276893e-01, -1.92891803e-01,
-1.89409380e-01, -1.89497128e-01, -1.89755567e-01, -1.90709324e-01,
-1.91072552e-01, -1.91251750e-01, -1.91612635e-01, -1.91484739e-01,
-1.91446185e-01, -1.87141562e-01, -1.86916499e-01, -1.85361033e-01,
-1.78510889e-01, -1.79920662e-01, -1.82477178e-01, -1.83361572e-01,
-1.84418528e-01, -1.84353793e-01, -1.84203884e-01, -1.63041863e-01,
-1.79187162e-01, -1.76616619e-01, -1.76058466e-01, -1.81513868e-01,
-1.74516815e-01, -1.75429097e-01, -1.64305490e-01, -1.73209698e-01,
-1.81287911e-01, -1.72931546e-01, -1.81305962e-01, -1.67938028e-01,
-1.68547032e-01, -1.70654936e-01, -1.71224488e-01, -1.70046221e-01,
-1.69553459e-01, -1.67849033e-01, -1.68964827e-01, -1.68950514e-01,
-1.69532848e-01, 8.37116094e-02, 8.23125124e-02, 8.15529990e-02,
8.11596805e-02, 8.08502063e-02, 7.72547025e-02, 7.65640185e-02,
7.01004415e-02, 6.62348263e-02, 6.59924193e-02, 6.46424494e-02,
5.83199746e-02, -1.61669672e-01, -1.61406270e-01, -1.61529541e-01,
-1.60591827e-01, -1.60479389e-01, -1.59761896e-01, -1.59576433e-01,
-1.56387956e-01, -1.55819170e-01, -1.57978147e-01, -1.36274966e-01,
-1.43409731e-01, -1.43110906e-01, -1.58415985e-01, -1.53305601e-01,
-1.46081258e-01, -1.58444168e-01, -1.52835757e-01, -1.38571159e-01,
-1.52311674e-01, -1.38007676e-01, -1.50877098e-01, -1.50393344e-01,
-1.47580092e-01, -1.48095339e-01, -1.49929040e-01, -1.50207709e-01,
-1.47717919e-01, 5.67238171e-02, 5.56471282e-02, 5.40983928e-02,
5.38816730e-02, 5.43976521e-02, 4.58309306e-02, 5.05709835e-02,
4.96411935e-02, 4.94740307e-02, -1.29477913e-01, -1.31885780e-01,
-1.32769128e-01, -1.35228537e-01, -1.38915251e-01, -1.33084403e-01,
-1.27640698e-01, -1.35115744e-01, -1.48678080e-01, -1.49160991e-01,
-1.49138897e-01, -1.24029421e-01, -1.49157217e-01, -1.22302996e-01,
-1.21170579e-01, -9.81788195e-02, -1.18786846e-01, -1.20252946e-01,
-1.20895307e-01, -1.19927552e-01, -1.15299137e-01, -1.16483578e-01,
-1.00593212e-01, -9.98744104e-02, -1.00191733e-01, -1.15729095e-01,
-1.13453486e-01, -1.11293466e-01, -1.09606570e-01, -1.11860069e-01,
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-1.05556510e-01, -1.06531647e-01, -1.06546074e-01, 4.46522709e-02,
4.26326376e-02, 4.18579030e-02, 3.95789224e-02, 3.67029722e-02,
-9.07252905e-02, -9.31991170e-02, -9.48009629e-02, -9.37511452e-02,
3.77194782e-02, 3.63218933e-02, 3.64345478e-02, 3.50365062e-02,
3.47210397e-02, 3.22271144e-02, 3.27813039e-02, 3.01730225e-02,
2.75490276e-02, -8.58690329e-02, -8.38566794e-02, 2.55098638e-02,
2.63265642e-02, 2.69203628e-02, -8.25406187e-02, -7.89080276e-02,
-8.18018371e-02, -8.08433316e-02, -8.27116088e-02, 2.80862357e-02,
2.26070834e-02, 2.11098929e-02, 1.94462773e-02, 1.87655915e-02,
1.79644481e-02, 1.61079425e-02, 1.67037111e-02, 1.74944810e-02,
-7.88106740e-02, -8.07984234e-02, -8.07135524e-02, 1.07818841e-02,
1.20588749e-02, 1.37124959e-02, -7.70532180e-02, -7.62938575e-02,
-7.78147109e-02, -7.59550947e-02, -7.57975654e-02, -7.35855022e-02,
1.40408613e-02, -6.76752283e-02, -6.87429319e-02, -6.94180556e-02,
-7.14036197e-02, -7.11021845e-02, -6.99441693e-02, 1.18585177e-02,
-6.16563322e-02, -7.46773776e-02, -6.82789447e-02, -6.11811485e-02,
-5.89809954e-02, -5.66514754e-02, -5.58221355e-02, -5.51303038e-02,
-5.39643569e-02, -5.33207840e-02, -5.27445706e-02, -5.21709381e-02,
-4.61021790e-02, -4.42446168e-02, -4.41405884e-02, -4.45180547e-02,
-5.04652409e-02, -4.80008972e-02, -4.40915878e-02, -4.74504462e-02,
-4.73400376e-02, -4.78504585e-02, -4.85186333e-02, -5.04339005e-02,
-5.02457771e-02, -5.03974339e-02, 1.33749380e-02, 1.10408305e-02,
9.01743685e-03, 8.43389771e-03, -3.87831428e-02, -4.28769616e-02,
-4.14306446e-02, -4.10137655e-02, -4.39109163e-02, -4.38856318e-02,
6.11191333e-03, 5.97722565e-03, 5.49410749e-03, 4.09716218e-03,
2.72398131e-03, 2.27430876e-03, 2.01532595e-03, 1.52393434e-03,
6.78264082e-04, 2.86254191e-04, 1.72368287e-04, -3.90050641e-02,
-3.60705360e-04, -3.84656223e-02, -3.85343367e-02, -3.81052277e-02,
-3.80782952e-02, -3.71953838e-02, -3.69504859e-02, -3.67808849e-02,
-3.66022877e-02, -3.59646413e-02, -3.52132050e-02, -3.36462876e-02,
-3.40490035e-02, -3.18415071e-02, -3.27403419e-02, -3.43256771e-02,
-3.43204148e-02, -3.24156593e-02, -3.05766265e-02, -3.30033619e-02,
-2.98220002e-02, -3.01131585e-02, -3.03290421e-02, -2.99423896e-02,
-2.88595658e-02, -2.87151243e-02, -2.80879787e-02, -2.74451726e-02,
-2.71362640e-02, -2.69734837e-02, -2.66375744e-02, -7.54322044e-04,
-1.23093022e-03, -1.38938584e-03, -1.40447606e-03, -2.55350500e-02,
-2.53044848e-02, -2.52834725e-02, -2.50011349e-02, -2.41489003e-02,
-2.45273573e-02, -1.70504288e-03, -1.78253366e-03, -2.03871152e-03,
-2.49232162e-03, -2.10988084e-03, -2.26496525e-03, -2.69011455e-03,
-2.43301779e-02, -2.43109116e-02, -5.61679141e-03, -4.75819585e-03,
-4.57157121e-03, -2.30341475e-03, -7.26984792e-03, -3.52972031e-03,
-6.32520347e-03, -7.49145245e-03, -3.94233363e-03, -3.96198695e-03,
-8.13305576e-03, -6.71888881e-03, -7.55099622e-03, -6.52408512e-03,
-3.74535407e-03, -3.95916921e-03, -3.63936469e-03, -3.82913567e-03,
-6.54316719e-03, -2.39414903e-02, -2.39133181e-02, -2.37050536e-02,
-2.36659159e-02, -2.32695605e-02, -2.31764590e-02, -8.54702157e-03,
-8.99214600e-03, -8.86464018e-03, -2.30837945e-02, -2.30769429e-02,
-1.60867691e-02, -9.28590513e-03, -9.87791006e-03, -9.83266794e-03,
-2.27264161e-02, -2.28972009e-02, -2.28894535e-02, -2.28506962e-02,
-2.28652122e-02, -1.14488089e-02, -1.26773164e-02, -1.40918099e-02,
-1.34593134e-02, -1.33454488e-02, -1.01530025e-02, -1.34095187e-02,
-1.46555593e-02, -1.12614537e-02, -1.29164302e-02, -1.49605177e-02,
-1.08296044e-02, -1.07256005e-02, -2.15098885e-02, -1.22558325e-02,
-1.48544055e-02, -1.05348111e-02, -1.05276558e-02, -1.48605454e-02,
-2.17955599e-02, -2.21009741e-02, -2.20810729e-02, -2.20625219e-02,
-2.20169857e-02, -2.16666111e-02, -2.16598543e-02, -2.16819682e-02,
-1.22342029e-02, -1.10130980e-02, -1.02922707e-02, -1.65756767e-02,
-2.07313924e-02, -1.44611227e-02, -1.54267371e-02, -1.41747379e-02,
-2.11662878e-02, -1.52330202e-02, -2.11738629e-02, -2.10542458e-02,
-1.56997291e-02, -1.50555111e-02, -1.64983511e-02, -1.70710367e-02,
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-2.05509375e-02, -2.04702399e-02, -1.70837884e-02, -1.72166447e-02,
-1.75795969e-02, -1.79566412e-02, -1.98717610e-02, -1.77591278e-02,
-1.97493766e-02, -1.80378840e-02, -1.94786238e-02, -1.99131232e-02,
-1.98986727e-02, -1.82544655e-02, -1.83911627e-02, -1.84204920e-02,
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-1.96101750e-02, -2.02479476e-02, -1.78562265e-02, -1.81803334e-02,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,
0.00000000e+00, 0.00000000e+00, 0.00000000e+00]

ax = sns.distplot(a, rug=True, hist=False, label='UW')

Plot of example data