U
vb @ s8 d dl mZmZ d dlZd dlmZ dd Zdd Z dS ) )displayHTMLNc C s> |d }|d }|D ]}ttd| d |D ]}||d |k|d |k@ }tj|d }| | d |k }tjdd} t }
|
d| d | d
|
j
tj|d |d d d
dd |
j ||d |d ddd |
j
||d d dd |
j
||d d dd |
d |
d |
t q:q d S ) Nmodel
customer_type timestamp figsize Forecast z demand ()demand-blackActualfmtcolorlabelp10p90333333?z80% Confidence Intervalalphar p50zPrediction Medianr r meanzPrediction MeanDateRides Taken (Demand))uniquer r mpldatesdate2numpltfiguregca set_title plot_date fill_between
set_xlabel
set_ylabellegendshow) actuals predictionsmodelscustomer_typesr r
predictionprediction_tsnumsactualfigax r9 H/home/ec2-user/SageMaker/time-series-forecasting-on-aws/util/plotting.pyplot_fcst_results s^
r; c C sH |d }|d }|D ]$}ttd| d | | d |k }tjdd}t }|d| |jtj
|d |d d
d d d
|D ]}||d |k|d |k@ } tj
| d }
|j |
| d | d dd| d |j|
| d d
d| d |j|
| d d
d| d q| d |
d | t q d S )Nr r r r r r r r r r r r r r r r z 80% Confidence Interval for r r zPrediction Median for r r zPrediction Mean for r r! )r" r r r& r' r( r) r* r# r$ r% r+ r, r- r. r/ ) r0 r1 r2 r3 r r6 r7 r8 r r4 r5 r9 r9 r: plot_fcst_merge_results@ s^
r< )
IPython.core.displayr r
matplotlibr# matplotlib.pyplotpyplotr& r; r< r9 r9 r9 r: s :