Re: [Matplotlib-users] Bar plot choose colours

[Joshua K. <mob...@gm...>]

My mistake, I thought you were using a DataFrame, not a Series. Instead do
this

colors = ['r' if row > 0 else 'b' for i, row in meantempanomaly.iteritems()]
meantempanomaly.plot(kind='bar', color=colors)

​

On Thu, Oct 29, 2015 at 5:43 AM, questions anon <que...@gm...>
wrote:

> Thanks for taking the time to respond
>
> I am receiving the error:
> AttributeError: 'Series' object has no attribute 'iterrow'
>
> I will look into this further.
> thank you
>
>
> On Thu, Oct 29, 2015 at 2:31 PM, Joshua Klein <mob...@gm...>
> wrote:
>
>> The pandas plot function doesn’t take colors as it does ‘x’ or ‘y’, but
>> it lets you pass color information just as you would with raw matplotlib
>> code, which means you can pass it a sequence of colors which match the
>> length of your sequence of drawn observations.
>>
>> # compute color codes using a ternary expression in a list comprehension over the DataFrame
>> colors = ['r' if row.anomaly > 0 else 'b' for i, row in meantempanomaly.iterrows()]
>> meantempanomaly.plot(kind='bar', color=colors)
>>
>> ​
>>
>> On Wed, Oct 28, 2015 at 9:54 PM, questions anon <que...@gm...
>> > wrote:
>>
>>> I have calculated annual temperature anomaly and I would like to plot as
>>> a bar plot with all values positive make red and all values negative make
>>> blue
>>>
>>> I am using pandas and the time series data in this example are called
>>> 'anomaly'
>>>
>>> mybarplot=anomaly.plot(kind='bar')
>>>
>>> the data look like this:
>>>
>>> time
>>> 2003-01-01   -0.370800
>>> 2004-01-01   -0.498199
>>> 2005-01-01    0.246118
>>> 2006-01-01   -0.313321
>>> 2007-01-01    0.585050
>>> 2008-01-01   -0.227976
>>> 2009-01-01    0.439337
>>> 2010-01-01    0.135607
>>> 2011-01-01    0.106105
>>> 2012-01-01   -0.102002
>>> Freq: AS-JAN, dtype: float64
>>>
>>> is there some simple way of writing:
>>> meantempanomaly.plot(kind='bar', anomaly>0:'r', anomaly<0:'b' )
>>>
>>> Any feedback will be greatly appreciated
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>>
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>>>
>>
>