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color attribute in pd.Series/pd.DataFrame works wrong (not same as color in ax.bar) when I specify a color for each bar
%matplotlib inline import matplotlib import matplotlib.pyplot as plt import pandas as pd import numpy as np data = pd.Series([1]*3+[2]*4) data
0 1 1 1 2 1 3 2 4 2 5 2 6 2
colors={1:'b', 2:'g'} data.map(colors)
0 b 1 b 2 b 3 g 4 g 5 g 6 g
data.plot(kind='Bar', color=data.map(colors))
_, ax = plt.subplots() ax.bar(range(len(data)), data, color=data.map(colors)) plt.show()
pd.show_versions()
INSTALLED VERSIONS ------------------ commit: None python: 3.5.2.final.0 python-bits: 64 OS: Linux OS-release: 4.4.0-81-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: 9.0.1 setuptools: 20.7.0 Cython: None numpy: 1.13.1 scipy: 0.19.1 xarray: None IPython: 6.1.0 sphinx: None patsy: None dateutil: 2.6.1 pytz: 2017.2 blosc: None bottleneck: None tables: None numexpr: None feather: None matplotlib: 2.0.2 openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: 0.999999999 sqlalchemy: None pymysql: None psycopg2: None jinja2: 2.9.5 s3fs: None pandas_gbq: None pandas_datareader: None
The text was updated successfully, but these errors were encountered:
Looks similar to #16822 (that was for lists, not dicts, but I suspect it's the same underlying problem).
Any interest in taking a look and submitting a fix?
Sorry, something went wrong.
@TomAugspurger Sure, it is
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Problem description
color attribute in pd.Series/pd.DataFrame works wrong (not same as color in ax.bar) when I specify a color for each bar
Output of
pd.show_versions()
The text was updated successfully, but these errors were encountered: