前言

今天給大家介紹一個很酷的 Python 手繪風格可視化神包：cutecharts

和 Matplotlib 、pyecharts 等常見的圖表不同，使用這個包可以生成看起來像手繪的各種圖表，在一些特殊場景下使用效果可能會更好。

GitHub 地址：

https://github.com/chenjiandongx/cutecharts

它的畫風是這樣的：

• cutecharts是由pyecharts作者chenjiandongx開源的一個輕量級的項目；

• 目前支持Bar,?Line，Pie，Radar，Scatter五種圖表；

• 支持Page組合圖表;

安裝

• ?pip install cutecharts;

Line——基本示例

支持的參數直接參考源碼中的注釋就好～

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 坐標軸標簽數據:param x_label: X 坐標軸名稱:param y_label: Y 坐標軸名稱:param y_tick_count: Y 軸刻度分割段數:param legend_pos: 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選:param colors: label 顏色數組:param font_family: CSS font-family"""def add_series(self, name: str, data: Iterable):""":param name: series 名稱:param data: series 數據列表"""

基本示例

from cutecharts.charts import Line # 虛假數據 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()

修改圖例位置

from cutecharts.charts import Line # 虛假數據 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

不支持多個系列的數據～

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 坐標軸標簽數據:param x_label: X 坐標軸名稱:param y_label: Y 坐標軸名稱:param y_tick_count: Y 軸刻度分割段數:param colors: label 顏色數組:param font_family: CSS font-family"""def add_series(self, name: str, data: Iterable):""":param name: series 名稱:param data: series 數據列表"""

基本示例

# 虛假數據 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: 數據標簽列表:param inner_radius: Pie 圖半徑:param legend_pos: 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選:param colors: label 顏色數組:param font_family: CSS font-family"""def add_series(self, data: Iterable):""":param data: series 數據列表"""

基本示例

# 虛假數據 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()

修改內圈半徑

# 虛假數據 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

參考代碼注釋：

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: 數據標簽列表:param is_show_label: 是否顯示標簽:param is_show_legend: 是否顯示圖例:param tick_count: 坐標系分割刻度:param legend_pos: 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選:param colors: label 顏色數組:param font_family: CSS font-family"""def add_series(self, name: str, data: Iterable):""":param name: series 名稱:param data: series 數據列表"""

基本示例

# 虛假數據 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 坐標軸名稱:param y_label: Y 坐標軸名稱:param x_tick_count: X 軸刻度分割段數:param y_tick_count: Y 軸刻度分割段數:param is_show_line: 是否將散點連成線:param dot_size: 散點大小:param time_format: 日期格式:param legend_pos: 圖例位置，有 "upLeft", "upRight", "downLeft", "downRight" 可選:param colors: label 顏色數組:param font_family: CSS font-family"""def add_series(self, name: str, data: Iterable):""":param name: series 名稱:param data: series 數據列表，[(x1, y1), (x2, y2)]"""

基本示例

# 隨機生成數據 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()

點連線

# 隨機生成數據 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()

組合圖表——Page

# 虛假數據 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()

原文鏈接：https://blog.csdn.net/qq_27484665/article/details/115472329

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