推荐学习书目
› Learn Python the Hard Way
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› PyPI - Python Package Index
› http://diveintopython.org/toc/index.html
› Pocoo
值得关注的项目
› PyPy
› Celery
› Jinja2
› Read the Docs
› gevent
› pyenv
› virtualenv
› Stackless Python
› Beautiful Soup
› 结巴中文分词
› Green Unicorn
› Sentry
› Shovel
› Pyflakes
› pytest
Python 编程
› pep8 Checker
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› PEP 8
› Google Python Style Guide
› Code Style from The Hitchhiker's Guide
这是一个创建于 2895 天前的主题，其中的信息可能已经有所发展或是发生改变。
新人刚在自学 python ，语法刚刷几遍，目前在尝试一些小项目。现在遇到一个问题，想实现从网站提供的 api 接口获取的数据，对其中部分数据实现数据可视化，从而能否监控其数据变动。想请老手指点一下学习及实现的路径，感激不尽。如下是获取的数据类型，主要是想统计每天的数据变化，并生成柱状图或者曲线图。
[
{
"id": "bitcoin",
"name": "Bitcoin",
"symbol": "BTC",
"rank": "1",
"price_usd": "573.137",
"price_btc": "1.0",
"24h_volume_usd": "72855700.0",
"market_cap_usd": "9080883500.0",
"available_supply": "15844176.0",
"total_supply": "15844176.0",
"percent_change_1h": "0.04",
"percent_change_24h": "-0.3",
"percent_change_7d": "-0.57",
"last_updated": "1472762067"
},
{
"id": "ethereum",
"name": "Ethereum",
"symbol": "ETH",
"rank": "2",
"price_usd": "12.1844",
"price_btc": "0.021262",
"24h_volume_usd": "24085900.0",
"market_cap_usd": "1018098455.0",
"available_supply": "83557537.0",
"total_supply": "83557537.0",
"percent_change_1h": "-0.58",
"percent_change_24h": "6.34",
"percent_change_7d": "8.59",
"last_updated": "1472762062"
},
...
]
[
{
"id": "bitcoin",
"name": "Bitcoin",
"symbol": "BTC",
"rank": "1",
"price_usd": "573.137",
"price_btc": "1.0",
"24h_volume_usd": "72855700.0",
"market_cap_usd": "9080883500.0",
"available_supply": "15844176.0",
"total_supply": "15844176.0",
"percent_change_1h": "0.04",
"percent_change_24h": "-0.3",
"percent_change_7d": "-0.57",
"last_updated": "1472762067"
},
{
"id": "ethereum",
"name": "Ethereum",
"symbol": "ETH",
"rank": "2",
"price_usd": "12.1844",
"price_btc": "0.021262",
"24h_volume_usd": "24085900.0",
"market_cap_usd": "1018098455.0",
"available_supply": "83557537.0",
"total_supply": "83557537.0",
"percent_change_1h": "-0.58",
"percent_change_24h": "6.34",
"percent_change_7d": "8.59",
"last_updated": "1472762062"
},
...
]
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1
UnisandK 2016-12-20 00:45:32 +08:00
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2
simon7 2016-12-20 08:33:18 +08:00 via iPad
bokeh
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3
stamaimer 2016-12-20 09:00:04 +08:00 via iPhone
d3.js
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4
namco1992 2016-12-20 12:05:37 +08:00
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5
316461465 2016-12-20 15:33:51 +08:00
原生 python 的话推荐你用 Matplotlib ，如果是 web 的话，百度的 echarts 够你玩的了
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7
mingyun 2016-12-20 23:16:41 +08:00
python highcharts
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8
dikT 2016-12-21 15:29:25 +08:00
from pprint import pprint
pprint(data) |
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9
dikT 2016-12-21 15:30:03 +08:00
晕,请无视.
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