

In [1]:

    
%autosave 0









    














    



Autosave disabled

suneku.plot



In [2]:

    
from pandas import read_csv
from suneku import REPO, hello, plot
hello(plot)









    



module

Data visualization tools.



In [3]:

    
ENERGY = REPO/'data/NewYorkEnergy.csv'
TEMPS = REPO/'data/ZonalTempAnomaly.csv'

read data from CSV files



In [4]:

    
energy = ( read_csv(ENERGY,index_col='Year')
        .drop(columns=['Total'])
        .astype(float) )

energy.tail()



In [5]:

    
temps = ( read_csv(TEMPS,index_col='Year')
        .drop(columns=['Glob','NHem','SHem'])
        .astype(float) )
    
temps.tail()

area



In [6]:

    
hello(plot.area)
fig = plot.area(energy)









    



function
 Figure: Area chart of columns in a DataFrame.

bar



In [7]:

    
hello(plot.bar)
fig = plot.bar(energy)









    



function
 Figure: Stacked bar chart of Series or DataFrame.

hist



In [8]:

    
hello(plot.hist)
fig = plot.hist(temps)









    



function
 Figure: Histogram(s) of Series or DataFrame.

line



In [9]:

    
hello(plot.line)
fig = plot.line(temps)









    



function
 Figure: Line plot of Series or DataFrame.

quantile



In [10]:

    
hello(plot.quantile)
fig = plot.quantile(temps)









    



function
 Figure: Quantiles for each row of DataFrame.

	Coal	NaturalGas	Petroleum	ConvHydro	PsHydro	Nuclear	NetImports	Other	Waste	LFG	Wood	Wind	Solar
Year
1984	21902.0	15395.0	28891.0	26586.0	NaN	21187.0	10812.0	NaN	NaN	NaN	NaN	0.0	NaN
1983	20753.0	12428.0	34380.0	26162.0	NaN	16376.0	11888.0	NaN	NaN	NaN	NaN	0.0	NaN
1982	20807.0	13974.0	32932.0	25329.0	NaN	14438.0	10196.0	NaN	NaN	NaN	NaN	0.0	NaN
1981	19632.0	11566.0	36760.0	25658.0	NaN	17444.0	7137.0	NaN	NaN	NaN	NaN	0.0	NaN
1980	19643.0	10766.0	37834.0	26241.0	NaN	19276.0	5575.0	NaN	NaN	NaN	NaN	0.0	NaN

	24N-90N	24S-24N	90S-24S	64N-90N	44N-64N	24N-44N	EQU-24N	24S-EQU	44S-24S	64S-44S	90S-64S
Year
2011	0.93	0.37	0.58	2.09	0.91	0.57	0.39	0.36	0.68	0.26	0.91
2012	0.97	0.52	0.45	1.88	0.91	0.72	0.47	0.56	0.60	0.25	0.32
2013	0.88	0.58	0.54	1.20	1.04	0.68	0.58	0.57	0.64	0.30	0.68
2014	1.05	0.67	0.55	1.82	1.13	0.75	0.70	0.63	0.76	0.23	0.49
2015	1.26	0.91	0.41	1.71	1.46	0.99	0.93	0.89	0.75	0.19	-0.31