又一款超酷的 Python 可视化神器：cutecharts

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    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。

    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

    # 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()

    ​

    python数据可视化
    本文系转载，阅读原文
    http://www.phpxs.com/
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