Python——可视化包Pygal

要了解使用Pygal可创建什么样的图表，请查看图表类型画廊：访问http://www.pygal.org/

1、实例

模拟筛子

die.py文件：

from random import randint

class Die():

    def __init__(self,num_sides=6):
        self.num_sides=num_sides

    def roll(self):
        return randint(1,self.num_sides);

main.py文件：

from die import Die
import pygal

die = Die()
results = []
for roll_num in range(10):
    result = die.roll()
    results.append(result)

print(results)

# 分析结果
freqs = []
for value in range(1, die.num_sides + 1):
    freq = results.count(value)
    freqs.append(freq)
print(freqs)

# 对结果可视化
hist = pygal.Bar()
hist.x_labels = ['1', '2', '3', '4', '5', '6']
hist._title = "resss";
hist.add('D6', freqs)
hist.render_to_file('ddd.svg')

结果：

柱状图

2、读取JSON格式

新建json文件：

[ {

"Country Name": "Arab World",

"Country Code": "ARB",

"Year": "1960",

"Value": "96388069"

},

{

"Country Name": "Arab World",

"Country Code": "ARB",

"Year": "1961",

"Value": "98882541.4"},

]

hello.py源文件：

import json

fileName = 'json.json'
with open(fileName) as f:
    opo_data = json.load(f)

for opo_item in opo_data:
    if opo_item['Year'] == '1960':
        countryName = opo_item['Country Name']
        population = opo_item['Value']
        print('city:' + countryName + ':' + population)

Pygal使用的国别码存储在模块i18n （internationalization的缩写）中。