又一款超酷的 Python 可视化神器:cutecharts
Python之王
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·
2021-12-20 01:57
前言
今天给大家介绍一个很酷的 Python 手绘风格可视化神包:cutecharts
和 Matplotlib 、pyecharts 等常见的图表不同,使用这个包可以生成看起来像手绘的各种图表,在一些特殊场景下使用效果可能会更好。
GitHub 地址:
https://github.com/chenjiandongx/cutecharts
它的画风是这样的:
cutecharts
是由pyecharts作者chenjiandongx开源的一个轻量级的项目;目前支持
Bar
,Line
,Pie
,Radar
,Scatter
五种图表;支持
Page
组合图表;
安装
pip install cutecharts
;
Line——基本示例
支持的参数直接参考源码中的注释就好~
def set_options(
self,
labels: Iterable,
x_label: str = "",
y_label: str = "",
y_tick_count: int = 3,
legend_pos: str = "upLeft",
colors: Optional[Iterable] = None,
font_family: Optional[str] = None,
):
"""
:param labels: X 坐标轴标签数据
:param x_label: X 坐标轴名称
:param y_label: Y 坐标轴名称
:param y_tick_count: Y 轴刻度分割段数
:param legend_pos: 图例位置,有 "upLeft", "upRight", "downLeft", "downRight" 可选
:param colors: label 颜色数组
:param font_family: CSS font-family
"""
def add_series(self, name: str, data: Iterable):
"""
:param name: series 名称
:param data: series 数据列表
"""
基本示例
from cutecharts.charts import Line
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data_1 = [57, 134, 137, 129, 145, 60, 49]
y_data_2 = [114, 55, 27, 101, 125, 27, 105]
chart = Line("Mobile phone sales")
chart.set_options(
labels=x_data,
x_label="Brand",
y_label="Sales",
)
chart.add_series("series-A", y_data_1)
chart.add_series("series-B", y_data_2)
chart.render_notebook()
修改图例位置
from cutecharts.charts import Line
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data_1 = [57, 134, 137, 129, 145, 60, 49]
y_data_2 = [114, 55, 27, 101, 125, 27, 105]
chart = Line("Mobile phone sales")
chart.set_options(
labels=x_data,
x_label="Brand",
y_label="Sales",
legend_pos="upRight"
)
chart.add_series("series-A", y_data_1)
chart.add_series("series-B", y_data_2)
chart.render_notebook()
Bar——基本示例
不支持多个系列的数据~
def set_options(
self,
labels: Iterable,
x_label: str = "",
y_label: str = "",
y_tick_count: int = 3,
colors: Optional[Iterable] = None,
font_family: Optional[str] = None,
):
"""
:param labels: X 坐标轴标签数据
:param x_label: X 坐标轴名称
:param y_label: Y 坐标轴名称
:param y_tick_count: Y 轴刻度分割段数
:param colors: label 颜色数组
:param font_family: CSS font-family
"""
def add_series(self, name: str, data: Iterable):
"""
:param name: series 名称
:param data: series 数据列表
"""
基本示例
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data = [57, 134, 137, 129, 145, 60, 49]
chart = Bar("Mobile phone sales")
chart.set_options(
labels=x_data,
x_label="Brand",
y_label="Sales",
colors=Faker.colors
)
chart.add_series("series-A", y_data)
chart.render_notebook()
Pie——基本示例
def set_options(
self,
labels: Iterable,
inner_radius: float = 0.5,
legend_pos: str = "upLeft",
colors: Optional[Iterable] = None,
font_family: Optional[str] = None,
):
"""
:param labels: 数据标签列表
:param inner_radius: Pie 图半径
:param legend_pos: 图例位置,有 "upLeft", "upRight", "downLeft", "downRight" 可选
:param colors: label 颜色数组
:param font_family: CSS font-family
"""
def add_series(self, data: Iterable):
"""
:param data: series 数据列表
"""
基本示例
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data = [57, 134, 137, 129, 145, 60, 49]
chart = Pie("Mobile phone sales")
chart.set_options(
labels=x_data,
colors=Faker.colors
)
chart.add_series(y_data)
chart.render_notebook()
修改内圈半径
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data = [57, 134, 137, 129, 145, 60, 49]
chart = Pie("Mobile phone sales")
chart.set_options(
labels=x_data,
inner_radius=0,
colors=Faker.colors
)
chart.add_series(y_data)
chart.render_notebook()
Radar——基本示例
参考代码注释:
def set_options(
self,
labels: Iterable,
is_show_label: bool = True,
is_show_legend: bool = True,
tick_count: int = 3,
legend_pos: str = "upLeft",
colors: Optional[Iterable] = None,
font_family: Optional[str] = None,
):
"""
:param labels: 数据标签列表
:param is_show_label: 是否显示标签
:param is_show_legend: 是否显示图例
:param tick_count: 坐标系分割刻度
:param legend_pos: 图例位置,有 "upLeft", "upRight", "downLeft", "downRight" 可选
:param colors: label 颜色数组
:param font_family: CSS font-family
"""
def add_series(self, name: str, data: Iterable):
"""
:param name: series 名称
:param data: series 数据列表
"""
基本示例
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data_1 = [57, 134, 137, 129, 145, 60, 49]
y_data_2 = [114, 55, 27, 101, 125, 27, 105]
chart = Radar("Mobile phone sales")
chart.set_options(
labels=x_data,
is_show_legend=True,
colors=Faker.colors
)
chart.add_series("series-A", y_data_1)
chart.add_series("series-B", y_data_2)
chart.render_notebook()
Scatter——基本示例
def set_options(
self,
x_label: str = "",
y_label: str = "",
x_tick_count: int = 3,
y_tick_count: int = 3,
is_show_line: bool = False,
dot_size: int = 1,
time_format: Optional[str] = None,
legend_pos: str = "upLeft",
colors: Optional[Iterable] = None,
font_family: Optional[str] = None,
):
"""
:param x_label: X 坐标轴名称
:param y_label: Y 坐标轴名称
:param x_tick_count: X 轴刻度分割段数
:param y_tick_count: Y 轴刻度分割段数
:param is_show_line: 是否将散点连成线
:param dot_size: 散点大小
:param time_format: 日期格式
:param legend_pos: 图例位置,有 "upLeft", "upRight", "downLeft", "downRight" 可选
:param colors: label 颜色数组
:param font_family: CSS font-family
"""
def add_series(self, name: str, data: Iterable):
"""
:param name: series 名称
:param data: series 数据列表,[(x1, y1), (x2, y2)]
"""
基本示例
data_1 = [(random.randint(0, 100), random.randint(0, 100)) for _ in range(100)]
data_2 = [(random.randint(0, 100), random.randint(0, 100)) for _ in range(100)]
chart = Scatter("random dot")
chart.set_options(
x_label = "I'm x-label",
y_label = "I'm x-yabel",
x_tick_count = 3,
y_tick_count = 3,
is_show_line = False,
dot_size = 1,
legend_pos = "upLeft",
colors=Faker.colors
)
chart.add_series("series-A", data_1)
chart.add_series("series-A", data_2)
chart.render_notebook()
点连线
data_1 = [(random.randint(0, 100), random.randint(0, 100)) for _ in range(10)]
data_2 = [(random.randint(0, 100), random.randint(0, 100)) for _ in range(10)]
chart = Scatter("random dot")
chart.set_options(
x_label = "I'm x-label",
y_label = "I'm x-yabel",
x_tick_count = 3,
y_tick_count = 3,
is_show_line = True,
dot_size = 1,
legend_pos = "upLeft",
colors=Faker.colors
)
chart.add_series("series-A", data_1)
chart.add_series("series-A", data_2)
chart.render_notebook()
组合图表——Page
# 虚假数据
x_data = ['Apple', 'Huawei', 'Xiaomi', 'Oppo', 'Vivo', 'Meizu', 'OnePlus']
y_data = [57, 134, 137, 129, 145, 60, 49]
chart_1 = Pie("Mobile phone sales")
chart_1.set_options(
labels=x_data,
inner_radius=0.6,
colors=Faker.colors
)
chart_1.add_series(y_data)
chart_2 = Bar("Mobile phone sales")
chart_2.set_options(
labels=x_data,
x_label="Brand",
y_label="Sales",
colors=Faker.colors
)
chart_2.add_series("series-A", y_data)
page = Page()
page.add(chart_1, chart_2)
page.render_notebook()
原文链接:https://blog.csdn.net/qq_27484665/article/details/115472329
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