Basic Vertical Bar Chart

This code sample of a vertical bar chart report.

It shows the average value of a single property across multiple assets. It uses a relationship to define the order that the assets appear in across the X axis.

Asset names vary wildly in terms of length. Because of this, we suggest placing your asset names inside the report rather than placing them on one of your axes.

import os
import sys
 
sys.path.insert(0,os.path.dirname(os.path.dirname(__file__)))
 
import mplreport
import datetime
 
@mplreport.ardireport("Sample Report")
def CreateReport(report,args):    
 
    #Create a page containing a single plot.
    fig,ax = report.CreatePage(1)
 
    #Print a title block for the page.
    report.Title()                   
 
    #Our AQL query goes here
    query = "'[ASSET]' ASSET '[RELATIONSHIP]' RELATIONSHIP 'downi' RELATED ('[PROPERTY]') PROPERTY VALUES"
 
    #Get the pandas data-frame with the results.
    df = report.GetHistory(query)         
 
    #Draw the bar charts   
    ax.bar(range(0,len(df.columns)),df.mean())
 
    #Draw in names
    indx = 0
    for col in df.columns:
        ax.text(indx - 0.18, 0.1, col.replace(" [PROPERTY]","").strip(), rotation=90, c=(0,0,0,0.7))
        indx += 1
 
    #Clear the X axis
    ax.set_xticks(range(0,len(df.columns)))
    ax.set_xticklabels([""] * len(df.columns))    
 
    #Set the minimum Y value to 0
    ax.set_ylim(0)
 
    #Clean up and prettify        
    ax.set_xlabel("[RELATIONSHIP]")
    ax.set_ylabel("[MEASUREMENT] ([UNITS])")    
    report.Grid(ax)        
 
    #Save this report out.
    report.Save()