python这样的数据分析界面，看过之后就爱了_python数据分析界面

pyecharts

这是基于百度开源的数据可视化的 echarts 的库，echarts 遇上了 python 之后。就像巧克力遇上了音乐，丝滑～

特别是当 pyechart 结合 Notebook 的时候

简直不能在丝滑了

来画个直方图

from pyecharts.charts import Bar
from pyecharts import options as opts

bar = (
    Bar()
    .add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
    .add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105])
    .add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
    .set_global_opts(title_opts=opts.TitleOpts(title="某商场销售情况"))
)
bar.render()
1
2
3
4
5
6
7
8
9
10
11

• 画个饼图

def pie_base() -> Pie:
    c = (
        Pie()
        .add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
        .set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
        .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    )
    return c

# 需要安装 snapshot_selenium
make_snapshot(driver, pie_base().render(), "pie.png")
1
2
3
4
5
6
7
8
9
10
11

• 再来画个词云图

'''
python学习交流群：1136201545更多学习资料可以加群获取
'''
words = [
    ("Sam S Club", 10000),
    ("Macys", 6181),
    ("Amy Schumer", 4386),
    ("Jurassic World", 4055),
    ("Charter Communications", 2467),
    ("Chick Fil A", 2244),
    ("Planet Fitness", 1868),
    ("Pitch Perfect", 1484),
    ("Express", 1112),
    ("Home", 865),
    ("Johnny Depp", 847),
    ("Lena Dunham", 582),
    ("Lewis Hamilton", 555),
    ("KXAN", 550),
    ("Mary Ellen Mark", 462),
    ("Farrah Abraham", 366),
    ("Rita Ora", 360),
    ("Serena Williams", 282),
    ("NCAA baseball tournament", 273),
    ("Point Break", 265),
]


def wordcloud_base() -> WordCloud:
    c = (
        WordCloud()
        .add("", words, word_size_range=[20, 100])
        .set_global_opts(title_opts=opts.TitleOpts(title="WordCloud-基本示例"))
    )
    return c

# 需要安装 snapshot_selenium
make_snapshot(driver, wordcloud_base().render(), "WordCloud.png")
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37

这么好看的数据分析界面图，是不是感觉爱了呢？