Wonderful! thank you!
On Fri, Oct 30, 2015 at 4:51 AM, Joshua Klein wrote:
> 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)
>
>
>
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
wrote:
> Thanks for taking the time to r
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 wrote:
> The pandas plot function doesn’t take colors as it does ‘x’ or ‘y’, but it
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 terna
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:
tim
