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 <[email protected]> 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 <[email protected]> > 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 <[email protected] >> > 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 >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> >>> _______________________________________________ >>> Matplotlib-users mailing list >>> [email protected] >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> >>> >> >
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