今天我們介紹的可視化工具是 cutecharts[1],這是一個(gè)純 Python 語言編寫的可視化工具,就像其名字一樣,這是一個(gè)可以產(chǎn)生 cute 版圖表的工具。
今天我們介紹的可視化工具是 cutecharts[1],這是一個(gè)純 Python 語言編寫的可視化工具,就像其名字一樣,這是一個(gè)可以產(chǎn)生 cute 版圖表的工具。

柱狀圖
基本柱狀圖
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:

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
Output:

折線圖
基本折線圖
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:

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
Output:

餅圖
基本餅圖
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 調(diào)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:

雷達(dá)圖
基本雷達(dá)圖
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:

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
Output:

散點(diǎn)圖
基本散點(diǎn)圖
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
Output:

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
Output:

好了,這就是今天分享的全部內(nèi)容,喜歡就點(diǎn)個(gè)贊吧~
參考資料
[1]
cutecharts: ??https://github.com/cutecharts/cutecharts.py??