

In [5]:

    
import sys
import os
sys.path.append(os.path.join(os.getcwd(),'pyrecharts'))



In [6]:

    
from IPython.display import display,HTML



In [8]:

    
from pyrecharts import StdCharts

Horizontal Bar Charts

Best suited for categories comparison

Example 1: default options, "as is"



In [9]:

    
data = dict(
    labels=['Bananas','Apples','Oranges','Watermelons','Grapes','Kiwis'],
    values=[4000,8000,3000,1600,1000,2500]
)
out = StdCharts.HBar(data)
HTML(out)









    Out[9]:

You can also save your chart with the save method:



In [10]:

    
StdCharts.save(out,'report_chart.png')

Example 2: sample options, sorting enabled



In [11]:

    
data = dict(
    labels=['Bananas','Apples','Oranges','Watermelons','Grapes','Kiwis'],
    values=[4000,8000,3000,1600,1000,2500]
)
out = StdCharts.HBar(
    data = data,
    width=600,
    color='#996666',
    title='Fruit prices ($)',
    source='Source: Local Market',
    fill='rgb(220, 75, 30)',
    values_sorted=True,
    paper='#f6f6f6',
    locale='en',
    font='Tahoma')
HTML(out)









    Out[11]:





        
            
                Fruit prices ($)
            
        
        
        Source: Local Market

Vertical Bar Charts

Ideal for a small number of labels or a portion of time dependent values
Fixed width

Example 3: defaults



In [12]:

    
data = dict(
    labels=[2010,2011,2012,2013,2014,2015,2016,2017],
    values=[4000,8000,3000,1600,1000,2500,4300,4200]
)
out = StdCharts.VBar(data=data,paper='#f3f3f3')
HTML(out)









    Out[12]:



In [13]:

    
StdCharts.save(out,'report_vertical.png')

Example 4



In [14]:

    
data = dict(
    labels=['City ABCD','City EFGHM','City OPQRSTUV'],
    values=[200,100,500]
)
out = StdCharts.VBar(data=data,values_sorted=True,color="#446699",fill="#999999")
HTML(out)









    Out[14]: