發(fā)現(xiàn)一款數(shù)據(jù)可視化手繪神器！
來源：
https://github.com/chenjiandongx/cutecharts
今天，給大家介紹一個很酷的 Python 手繪風(fēng)格可視化神包：cutecharts。
和 Matplotlib 、pyecharts 等常見的圖表不同，使用這個包可以生成下面這種看起來像手繪的各種圖表，在一些場景下使用效果可能會更好。
GitHub 地址：
https://github.com/chenjiandongx/cutecharts
怎么畫出這些圖表呢，很簡單，一行命令先安裝好該庫：
pip install cutecharts
也可以使用源碼安裝的方式：
$ git clone https://github.com/chenjiandongx/cutecharts.git
$ cd cutecharts
$ pip install -r requirements.txt
$ python setup.py install
下面就介紹下每個圖表如何繪制。
首先是一些圖表共通的參數(shù)：
Commons
不同圖表有著部分相同的方法。
__init__
Params Desc
------ ----
title: Optional[str] = None 圖表標(biāo)題
width: str = "800px" 圖表寬度
height: str = "600px" 圖表高度
assets_host: Optional[str] = None 引用資源 Host
render
Params Desc
------ ----
dest: str = "render.html" 渲染的文件路徑
template_name: str = "basic_local.html" 渲染使用的模板，一般不需要修改
render_notebook
Params Desc
------ ----
template_type: str = "basic" 渲染使用的模板類型，一般不需要修改
load_javascript
加載 JS 依賴，在 JupyterLab 渲染時使用。
Bar（柱狀圖）
cutecharts.charts.Bar
API
cutecharts.charts.Bar.set_options
Params Desc
------ ----
labels: Iterable X 坐標(biāo)軸標(biāo)簽數(shù)據(jù)
x_label: str = "" X 坐標(biāo)軸名稱
y_label: str = "" Y 坐標(biāo)軸名稱
y_tick_count: int = 3 Y 軸刻度分割段數(shù)
colors: Optional[Iterable] = None label 顏色數(shù)組
font_family: Optional[str] = None CSS font-family
cutecharts.charts.Bar.add_series
Params Desc
------ ----
name: str series 名稱
data: Iterable series 數(shù)據(jù)列表
Demo
Bar-基本示例
from cutecharts.charts import Bar
from cutecharts.components import Page
from cutecharts.faker import Faker
def bar_base() -> Bar:
chart = Bar("Bar-基本示例")
chart.set_options(labels=Faker.choose(), x_label="I'm xlabel", y_label="I'm ylabel")
chart.add_series("series-A", Faker.values())
return chart
bar_base().render()
Bar-調(diào)整顏色
def bar_tickcount_colors():
chart = Bar("Bar-調(diào)整顏色")
chart.set_options(labels=Faker.choose(), y_tick_count=10, colors=Faker.colors)
chart.add_series("series-A", Faker.values())
return chart
Line（折線圖）
cutecharts.charts.Line
API
cutecharts.charts.Line.set_options
Params Desc
------ ----
labels: Iterable X 坐標(biāo)軸標(biāo)簽數(shù)據(jù)
x_label: str = "" X 坐標(biāo)軸名稱
y_label: str = "" Y 坐標(biāo)軸名稱
y_tick_count: int = 3 Y 軸刻度分割段數(shù)
legend_pos: str = "upLeft" 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選
colors: Optional[Iterable] = None label 顏色數(shù)組
font_family: Optional[str] = None CSS font-family
cutecharts.charts.Line.add_series
Params Desc
------ ----
name: str series 名稱
data: Iterable series 數(shù)據(jù)列表
Demo
Line-基本示例
from cutecharts.charts import Line
from cutecharts.components import Page
from cutecharts.faker import Faker
def line_base() -> Line:
chart = Line("Line-基本示例")
chart.set_options(labels=Faker.choose(), x_label="I'm xlabel", y_label="I'm ylabel")
chart.add_series("series-A", Faker.values())
chart.add_series("series-B", Faker.values())
return chart
line_base().render()
Line-Legend 位置
def line_legend():
chart = Line("Line-Legend 位置")
chart.set_options(labels=Faker.choose(), legend_pos="upRight")
chart.add_series("series-A", Faker.values())
chart.add_series("series-B", Faker.values())
return chart
Line-調(diào)整顏色
def line_tickcount_colors():
chart = Line("Line-調(diào)整顏色")
chart.set_options(labels=Faker.choose(), colors=Faker.colors, y_tick_count=8)
chart.add_series("series-A", Faker.values())
chart.add_series("series-B", Faker.values())
return chart
Pie（餅圖）
cutecharts.charts.Pie
API
cutecharts.charts.Pie.set_options
Params Desc
------ ----
labels: Iterable 數(shù)據(jù)標(biāo)簽列表
inner_radius: float = 0.5 Pie 圖半徑
legend_pos: str = "upLeft" 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選
colors: Optional[Iterable] = None label 顏色數(shù)組
font_family: Optional[str] = None CSS font-family
cutecharts.charts.Pie.add_series
Params Desc
------ ----
data: Iterable series 數(shù)據(jù)列表
Demo
Pie-基本示例
from cutecharts.charts import Pie
from cutecharts.components import Page
from cutecharts.faker import Faker
def pie_base() -> Pie:
chart = Pie("Pie-基本示例")
chart.set_options(labels=Faker.choose())
chart.add_series(Faker.values())
return chart
pie_base().render()
Pie-Legend
def pie_legend_font():
chart = Pie("Pie-Legend")
chart.set_options(
labels=Faker.choose(),
legend_pos="downLeft",
font_family='"Times New Roman",Georgia,Serif;',
)
chart.add_series(Faker.values())
return chart
Pie-Radius
def pie_radius():
chart = Pie("Pie-Radius")
chart.set_options(
labels=Faker.choose(),
inner_radius=0,
)
chart.add_series(Faker.values())
return chart
Radar（雷達(dá)圖）
cutecharts.charts.Radar
API
cutecharts.charts.Radar.set_options
Params Desc
------ ----
labels: Iterable 數(shù)據(jù)標(biāo)簽列表
is_show_label: bool = True 是否顯示標(biāo)簽
is_show_legend: bool = True 是否顯示圖例
tick_count: int = 3 坐標(biāo)系分割刻度
legend_pos: str = "upLeft" 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選
colors: Optional[Iterable] = None label 顏色數(shù)組
font_family: Optional[str] = None CSS font-family
cutecharts.charts.Radar.add_series
Params Desc
------ ----
name: str series 名稱
data: Iterable series 數(shù)據(jù)列表
Demo
Radar-基本示例
from cutecharts.charts import Radar
from cutecharts.components import Page
from cutecharts.faker import Faker
def radar_base() -> Radar:
chart = Radar("Radar-基本示例")
chart.set_options(labels=Faker.choose())
chart.add_series("series-A", Faker.values())
chart.add_series("series-B", Faker.values())
return chart
radar_base().render()
Radar-顏色調(diào)整
def radar_legend_colors():
chart = Radar("Radar-顏色調(diào)整")
chart.set_options(labels=Faker.choose(), colors=Faker.colors, legend_pos="upRight")
chart.add_series("series-A", Faker.values())
chart.add_series("series-B", Faker.values())
return chart
Scatter（散點(diǎn)圖）
cutecharts.charts.Scatter
API
cutecharts.charts.Scatter.set_options
Params Desc
------ ----
x_label: str = "" X 坐標(biāo)軸名稱
y_label: str = "" Y 坐標(biāo)軸名稱
x_tick_count: int = 3 X 軸刻度分割段數(shù)
y_tick_count: int = 3 Y 軸刻度分割段數(shù)
is_show_line: bool = False 是否將散點(diǎn)連成線
dot_size: int = 1 散點(diǎn)大小
time_format: Optional[str] = None 日期格式
legend_pos: str = "upLeft" 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選
colors: Optional[Iterable] = None label 顏色數(shù)組
font_family: Optional[str] = None CSS font-family
cutecharts.charts.Scatter.add_series
Params Desc
------ ----
name: str series 名稱
data: Iterable series 數(shù)據(jù)列表，[(x1, y1), (x2, y2)]
Demo
Scatter-基本示例
from cutecharts.charts import Scatter
from cutecharts.components import Page
from cutecharts.faker import Faker
def scatter_base() -> Scatter:
chart = Scatter("Scatter-基本示例")
chart.set_options(x_label="I'm xlabel", y_label="I'm ylabel")
chart.add_series(
"series-A", [(z[0], z[1]) for z in zip(Faker.values(), Faker.values())]
)
chart.add_series(
"series-B", [(z[0], z[1]) for z in zip(Faker.values(), Faker.values())]
)
return chart
scatter_base().render()
Scatter-散點(diǎn)大小
def scatter_dotsize_tickcount():
chart = Scatter("Scatter-散點(diǎn)大小")
chart.set_options(dot_size=2, y_tick_count=8)
chart.add_series(
"series-A", [(z[0], z[1]) for z in zip(Faker.values(), Faker.values())]
)
chart.add_series(
"series-B", [(z[0], z[1]) for z in zip(Faker.values(), Faker.values())]
)
return chart
Scatter-散點(diǎn)連成線
def scatter_show_line():
chart = Scatter("Scatter-散點(diǎn)連成線")
chart.set_options(y_tick_count=8, is_show_line=True)
chart.add_series(
"series-A", [(z[0], z[1]) for z in zip(Faker.values(), Faker.values())]
)
chart.add_series(
"series-B", [(z[0], z[1]) for z in zip(Faker.values(), Faker.values())]
)
return chart
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