又一款超酷的可视化神器:cutecharts

共 7900字,需浏览 16分钟

 ·

2021-12-11 07:31

二条:万字教程:Python Word 文档自动化!

三条: 5分钟玩转PyTorch |张量的数学科学运算

↑ 关注 + 星标 ,每天学Python新技能

后台回复【大礼包】送你Python自学大礼包


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BarLinePieRadarScatter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


# 随机生成数据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


# 随机生成数据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

推荐阅读

  1. 机密!网易员工数据分析内训课程,白嫖了!(另附价值399元资料包)

  2. 豆瓣评分 9.0,超 10 万开发者的入门选择,这本经典好书终于升级啦!

  3. 卧槽!又来一个Python学习神器!!!


浏览 23
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报
评论
图片
表情
推荐
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报