今天我们介绍的可视化工具是 cutecharts[1]，这是一个纯 Python 语言编写的可视化工具，就像其名字一样，这是一个可以产生 cute 版图表的工具。
柱状图
基本柱状图
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()
Output:
调整颜色
def bar_tickcount_colors():
chart = Bar("Bar-调整颜色")
chart.set_options(labels=Faker.choose(), y_tick_count=10, colors=Faker.colors)
chart.add_series("series-A", Faker.values())
return chart
Output：
折线图
基本折线图
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()
Output:
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
Output：
调整颜色
def line_tickcount_colors():
chart = Line("Line-调整颜色")
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
Output:
饼图
基本饼图
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()
Output：
Legend 位置
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
Output：
Radius 调整
def pie_radius():
chart = Pie("Pie-Radius")
chart.set_options(
labels=Faker.choose(),
inner_radius=0,
)
chart.add_series(Faker.values())
return chart
Output：
雷达图
基本雷达图
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()
Output：
颜色调整
def radar_legend_colors():
chart = Radar("Radar-颜色调整")
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
Output：
散点图
基本散点图
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()
Output：
散点大小
def scatter_dotsize_tickcount():
chart = Scatter("Scatter-散点大小")
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
Output：
散点连成线
def scatter_show_line():
chart = Scatter("Scatter-散点连成线")
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
Output：
好了，这就是今天分享的全部内容，喜欢就点个赞吧~
参考资料
[1]
cutecharts: https://github.com/cutecharts/cutecharts.py
