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Today, I will talk to you about how to use cutecharts in Python. Many people may not know much about it. In order to make you understand better, the editor has summarized the following for you. I hope you can get something according to this article.

Pip install cutecharts

You can also use source code installation:

$git clone https://github.com/chenjiandongx/cutecharts.git$ cd cutecharts$ pip install-r requirements.txt$ python setup.py install

Here's how to draw each chart.

First of all, there are some parameters common to charts:

Commons

Different charts have some of the same methods.

Init

Render_notebook

Cutecharts.charts.Bar.add_series

Demo

Basic example of Bar-

From cutecharts.charts import Barfrom cutecharts.components import Pagefrom cutecharts.faker import Fakerdef bar_base ()-> Bar: chart = Bar ("Bar- basic example") chart.set_options (labels=Faker.choose (), x-ray label = "Ihumm xlabel", yearly label = "Ihumm ylabel") chart.add_series ("series-A", Faker.values ()) return chartbar_base (). Render ()

Bar- adjust color

Def bar_tickcount_colors (): chart = Bar ("Bar- adjust color") chart.set_options (labels=Faker.choose (), y_tick_count=10, colors=Faker.colors) chart.add_series ("series-A", Faker.values ()) return chart

Line (line chart)

Cutecharts.charts.Line

API

Cutecharts.charts.Line.set_options

Params Desc--labels: Iterable X axis label data x_label: str = "" X axis name Y_label: str = "" Y axis name y_tick_count: int = 3 Y axis scale segments legend_pos: str = "upLeft" legend location There are "upLeft", "upRight", "downLeft", "downRight" optional colors: Optional [Iterable] = None label color array font_family: Optional [str] = None CSS font-family

Cutecharts.charts.Line.add_series

Demo

Basic example of Line-

From cutecharts.charts import Linefrom cutecharts.components import Pagefrom cutecharts.faker import Fakerdef line_base ()-> Line: chart = Line ("Line- basic example") chart.set_options (labels=Faker.choose (), x-ray label = "Ilemm xlabel", yearly label = "Ihumm ylabel") chart.add_series ("series-A", Faker.values ()) chart.add_series ("series-B", Faker.values ()) return chartline_base (). Render ()

Line-Legend location

Def line_legend (): chart = Line ("Line-Legend location") 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- adjust color

Def line_tickcount_colors (): chart = Line ("Line- adjust color") 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 (pie chart)

Cutecharts.charts.Pie

Cutecharts.charts.Pie.set_options

Params Desc- labels: Iterable data label list inner_radius: float = 0.5 Pie graph radius legend_pos: Str = "upLeft" legend location There are "upLeft", "upRight", "downLeft", "downRight" optional colors: Optional [Iterable] = None label color array font_family: Optional [str] = None CSS font-family

Cutecharts.charts.Pie.add_series

Params Desc--data: Iterable series data list

Demo

Basic example of Pie-

From cutecharts.charts import Piefrom cutecharts.components import Pagefrom cutecharts.faker import Fakerdef pie_base ()-> Pie: chart = Pie ("Pie- basic example") chart.set_options (labels=Faker.choose ()) chart.add_series (Faker.values ()) return chartpie_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 after reading the above, do you have any further understanding of how to use cutecharts in Python? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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