plotting in pandas is not picking the list of colors passed, it only gets the first value

Code Sample, a copy-pastable example if possible

>>> df = pd.DataFrame({"A": range(4), "color": ['red', 'blue', 'blue', 'red']})
>>> ax = df.plot.bar(y='A', color=df['color'])
>>> [p.get_facecolor() for p in ax.patches]
[(1.0, 0.0, 0.0, 1.0),
 (1.0, 0.0, 0.0, 1.0),
 (1.0, 0.0, 0.0, 1.0),
 (1.0, 0.0, 0.0, 1.0)]

Problem description

It plots correctly but it does not pick the right color per bar. it only pick the color of the first value in the list. it was working perfectly in pandas 0.19.2

Expected Output

the plot should contain a different color as the list is being passed. Similar to matplotlib behavior and the old pandas version

Output of pd.show_versions()

pandas: 0.20.2 pytest: None pip: 9.0.1 setuptools: 36.0.1 Cython: None numpy: 1.12.1 scipy: 0.19.1 xarray: None IPython: 5.4.1 sphinx: None patsy: None dateutil: 2.6.0 pytz: 2017.2 blosc: None bottleneck: None tables: None numexpr: None feather: None matplotlib: 2.0.2 openpyxl: None xlrd: 1.0.0 xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: 0.9999999 sqlalchemy: None pymysql: None psycopg2: 2.7.1 (dt dec pq3 ext lo64) jinja2: 2.9.6 s3fs: None pandas_gbq: None pandas_datareader: None

[adesorme]

I’m still facing this issue…

[bcolsen]

I have a work around for people being affected by this:

Plot with color in an extra list:

df.plot(y='A', color=[(0.3,0.4,0.4,1)])

also fixes bar:

>>> df = pd.DataFrame({"A": range(4), "color": ['red', 'blue', 'blue', 'red']})
>>> ax = df.plot.bar(y='A', color=[df['color']])
>>> [p.get_facecolor() for p in ax.patches]
Out[35]: 
[(1.0, 0.0, 0.0, 1.0),
 (0.0, 0.0, 1.0, 1.0),
 (0.0, 0.0, 1.0, 1.0),
 (1.0, 0.0, 0.0, 1.0)]