8000 Seaborn scatter plot results in black and white dots (wrong color) · Issue #8913 · matplotlib/matplotlib · GitHub
[go: up one dir, main page]
Skip to content

Seaborn scatter plot results in black and white dots (wrong color) #8913

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Closed
drigoF opened this issue Jul 19, 2017 · 4 comments
Closed

Seaborn scatter plot results in black and white dots (wrong color) #8913

drigoF opened this issue Jul 19, 2017 · 4 comments

Comments

@drigoF
Copy link
drigoF commented Jul 19, 2017

By using pandas I try to visualize the selection frame I have got from my data frame df here below. I can not understand why seaborn via matplotlib displays strange colorful dots for the class car. In my opinion this problem should be related to the bug 5377. If I remove this class I get the same problem in another one. Do you know how I can fix it? Apparently this issue occurs only on my laptop.

When I run this code on python I get the following message:
/usr/lib/python3/dist-packages/matplotlib/init.py:874: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
warnings.warn(self.msg_depr % (key, alt_key))

For more details please have a look at this Page

I tried to use the following solutions but they did not give me the right results.

  • from matplotlib.colors import rgb2hex (as suggested in 5377 issue but it did not work out)
  • plt.rcParams['image.cmap'] = 'gray' (as suggested in 5377 issue but it did not work out)
  • plt.rc('lines', linewidth=4)
    plt.rc('axes', prop_cycle=(cycler('color', ['r', 'g', 'b', 'y']) +
    cycler('linestyle', ['-', '--', ':', '-.']))) (a suggested in link)

Code for reproduction

import pandas as pd
import numpy as np
import random 
from cycler import cycler
from matplotlib import pyplot as plt 
#from matplotlib.colors import rgb2hex
import seaborn as sns

np.random.seed(176)
random.seed(16)

df = pd.DataFrame({'class': random.sample(['living room','dining room','kitchen','car','bathroom','office']*10, k=25),
               'Amount': np.random.sample(25)*100,
               'Year': random.sample(list(range(2010,2018))*50, k=25),
               'Month': random.sample(list(range(1,12))*100, k=25)})


frame = pd.pivot_table(df, index=['class','Year'], values=['Amount'], aggfunc=np.sum).reset_index()
print(frame)
yaplot=sns.lmplot(x='Year' , y='Amount', data=frame, hue='class',palette='Set1', fit_reg=False,size= 5, aspect=5/3, legend=False,legend_out=False,scatter_kws={'s': 70})
yaplot.ax.legend(loc=2)
sns.plt.ticklabel_format(style='plain', axis='x',useOffset=False)
plt.show()

Output of my ipython3:

In [1]: %run StackOverFlow-Answer-ScatterPlotwithFORFinal.py
/usr/lib/python3/dist-packages/matplotlib/__init__.py:874: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))
          class  Year      Amount
0      bathroom  2014   16.453632
1      bathroom  2015   40.407985
2      bathroom  2016   63.377911
3      bathroom  2017   98.786027
4           car  2010   22.252528
5           car  2012  127.597498
6           car  2015   93.694632
7   dining room  2010   54.077396
8   dining room  2011   15.844124
9   dining room  2012   36.273090
10  dining room  2014   27.156423
11      kitchen  2010   69.254971
12      kitchen  2013   88.100901
13      kitchen  2016   86.370960
14      kitchen  2017   95.764052
15  living room  2010   53.252083
16  living room  2011   94.708138
17  living room  2015   78.666517
18  living room  2016   21.260494
19       office  2012   35.743781

pd.show_versions()

python: 3.5.2.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-83-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.20.3
pytest: None
pip: 8.1.1
setuptools: None
Cython: None
numpy: 1.13.1
scipy: 0.17.0
xarray: None
IPython: 2.4.1
sphinx: None
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: None
tables: 3.2.2
numexpr: 2.6.2
feather: None
matplotlib: 1.5.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.4.1
html5lib: 0.999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.8
s3fs: None
pandas_gbq: None
pandas_datareader: None
@WeatherGod
Copy link
Member
WeatherGod commented Jul 19, 2017 via email

@drigoF
Copy link
Author
drigoF commented Jul 19, 2017

I am checking... Thanks for now. Drigo

@phobson
Copy link
Member
phobson commented Jul 19, 2017

Hmm - I'm not seeing this:
download

perhaps your random data are running into this: mwaskom/seaborn#840

@drigoF
Copy link
Author
drigoF commented Jul 21, 2017

You are right I was running the code with a old version seaborn. I was sure I checked it was the newest one but I did not. Thanks.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
4 participants
@WeatherGod @phobson @dstansby @drigoF
0