unable to plot with custom color ramp seaborn 0.12.0

[Niransha]

I was trying to use seaborn kdeplot with custom colour ramp, it is working with seaboarn version 0.11.00, but not with seaboarn 0.12.0

color ramp as below

def make_Ramp( ramp_colors ): 
    from colour import Color
    from matplotlib.colors import LinearSegmentedColormap

    color_ramp = LinearSegmentedColormap.from_list( 'my_list', [ Color( c1 ).rgb for c1 in ramp_colors ] )
    plt.figure( figsize = (15,3))
    plt.imshow( [list(np.arange(0, len( ramp_colors ) , 0.1)) ] , interpolation='nearest', origin='lower', cmap= color_ramp )
    plt.xticks([])
    plt.yticks([])
    return color_ramp

custom_ramp = make_Ramp( ['#0000ff','#00ffff','#ffff00','#ff0000' ] ) 

my data look like this

            0        1         2
0    142.5705  38.5744  hairpins
1    281.0795  55.1900  hairpins
2    101.7282  49.5604  hairpins
3     59.8472  63.0699  hairpins
4    296.4381  44.8293  hairpins
..        ...      ...       ...
347  284.6841  51.7468     stems
348  288.7241  49.9322     stems
349  320.2972  41.5520     stems
350  302.6805  67.2658     stems
351  293.6837  52.0663     stems

[352 rows x 3 columns]
<class 'numpy.float64'>

this is my code

ax = sns.kdeplot(data=df, x=df.loc[df[2] == "hairpins", 0], y=df.loc[df[2] == "hairpins", 1], fill=False, thresh=0, levels=20, cmap=custom_ramp, common_norm=True, cbar=True, )

with version 0.12.0 get this error

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
[<ipython-input-6-88652c0ba7ce>](https://localhost:8080/#) in <module>
     21   #/
     22     plt.subplot(2,3,i+1)
---> 23     ax = sns.kdeplot(data=df, x=df.loc[df[2] == dimtypes[i], 0], y=df.loc[df[2] == dimtypes[i], 1], fill=False, thresh=0, levels=20, cmap=custom_ramp, common_norm=True, cbar=True, cbar_kws={'format': '%2.1e', 'label': 'kernel density'} )
     24     plt.title("Chart {}: {}".format(i+1, dimtypes[i]), size=20)
     25     plt.xlabel(str(xname), fontsize=12)

9 frames
[/usr/local/lib/python3.7/dist-packages/matplotlib/artist.py](https://localhost:8080/#) in update(self, props)
   1065                     func = getattr(self, f"set_{k}", None)
   1066                     if not callable(func):
-> 1067                         raise AttributeError(f"{type(self).__name__!r} object "
   1068                                              f"has no property {k!r}")
   1069                     ret.append(func(v))

AttributeError: 'Line2D' object has no property 'cmap'

with version 0.11.0 get this plot

basically, custom ramp is not woking with seaborn 0.12.0 , please update thanks

[mwaskom]

Hi, can you please turn this into a reproducible example? I don't have your data (nor do I need it, just just one of the built in datasets) and I don't know what the colour module is.

[Niransha]

hi,
when I run the same code with seaborn 0,11.0 it works, but not with 0.12.0

pip install colour

# Imports
from __future__ import division
import numpy as np
import pandas as pd
from pandas import DataFrame, Series
import matplotlib.pyplot as plt
from scipy.stats import pearsonr
import scipy, pylab
import seaborn as sns
import re
import glob
#sns.set(style='ticks', palette='Set2')
%matplotlib inline


csv_url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'
df = pd.read_csv(csv_url, header = None)

print(df)

def make_Ramp( ramp_colors ): 
    from colour import Color
    from matplotlib.colors import LinearSegmentedColormap

    color_ramp = LinearSegmentedColormap.from_list( 'my_list', [ Color( c1 ).rgb for c1 in ramp_colors ] )
    plt.figure( figsize = (15,3))
    plt.imshow( [list(np.arange(0, len( ramp_colors ) , 0.1)) ] , interpolation='nearest', origin='lower', cmap= color_ramp )
    plt.xticks([])
    plt.yticks([])
    return color_ramp

custom_ramp = make_Ramp( ['#0000ff','#00ffff','#ffff00','#ff0000' ] ) 

sns.kdeplot(data=df, x=df.loc[df[4] == "Iris-setosa", 0], y=df.loc[df[4] == "Iris-setosa", 1], fill=False, thresh=0, levels=20, cmap=custom_ramp, common_norm=True, cbar=True, )

the error with 0.12.0

with 0.11.0

[mwaskom]

I still don't know what colour is, it's not a standard library module. Please reduce this to the minimal amount necessary to reproduce the problem. Thanks.

[y-h-wang]

Encountered the same issue. The following code shows a reproducible example that works with seaborn 0.11.0 while ends up with AttributeError: 'Line2D' object has no property 'cmap' with 0.12.0. I would assume this is not a desired feature since nothing related mentioned in the changelog.

import numpy as np; np.random.seed(10)
import seaborn as sns; sns.set(color_codes=True)
import matplotlib.pyplot as plt

mean, cov = [0, 2], [(1, .5), (.5, 1)]
x, y = np.random.multivariate_normal(mean, cov, size=50).T
sns.kdeplot(x=x, y=y, cmap='Blues')
plt.show()

[mwaskom]

Thanks @y-h-wang, this is a perfect reprex and makes it much easier to debug. Indeed, this is a regression, not an intentional change. The root cause is #2449.