df.plot bars with different colors depending on values

I found a strange behavior with pandas.plot colors my version of pandas is

import pandas as pd
pd.__version__
'0.20.3'

Problem description

Before when i wanted to assign different colors to bars depending on value i could simply do

n=10
df = pd.DataFrame({"a":np.arange(1,n)})
df.plot(kind='bar', color=np.where(df["a"]>2, 'g', 'r'))

Now not only it accepts only a tuple instead of an array as color but it breaks whenever the tuple is longer than 5

n=5
df = pd.DataFrame({"a":np.arange(1,n)})
colors = tuple(np.where(df["a"]>2, 'g', 'r'))
df.plot(kind='bar', color= colors )

n=6
df = pd.DataFrame({"a":np.arange(1,n)})
colors = tuple(np.where(df["a"]>2, 'g', 'r'))
df.plot(kind='bar', color= colors )

[yz3101]

I found that you have different color for each bar when you do this n=6 df = pd.DataFrame({“a”:np.arange(1,n)}) df[‘a’].plot(kind=‘bar’, color=tuple([“g”, “b”,“r”,“y”,“k”]))

[rjp23]

This seems to still be an issue and @yz3101’s response above solved it for me. Explicitly calling the column of the DataFrame allowed me to specify colours. Otherwise, it doesn’t work.