Python中的 plotly.express.line_ternary()函数

Python的 Plotly 库对于数据可视化和简单轻松地理解数据非常有用。 Plotly 图形对象是一个易于使用的高级界面。

plotly.express.line_ternary()

此方法用于创建三元线图。三元线图用于描绘等边三角形上三个变量的比率。

Syntax: plotly.express.line_ternary(data_frame=None, a=None, b=None, c=None, color=None, line_dash=None, line_group=None, hover_name=None, hover_data=None, title=None, template=None, width=None, height=None)

Parameters:

data_frame: DataFrame or array-like or dict needs to be passed for column names.

a, b, c:  These parameters are either a name of a column in data_frame, or a pandas Series or array_like object. These are used to position marks along the a, b, and c axis in ternary coordinates respectively.

color: This parameters assign color to marks.

hover_name:  Values from this column or array_like appear in bold in the hover tooltip.

hover_data: This parameter is used to appear in the hover tooltip or tuples with a bool or formatting string as first element, and list-like data to appear in hover as second element Values from these columns appear as extra data in the hover tooltip.

title: The title of the figure.

width: Set the width of the figure.

height: Set the height of the figure.

示例 1：

Python3

import plotly.express as px
  
df = px.data.iris()
  
plot = px.line_ternary(df, a = 'sepal_width',
                          b = 'sepal_length', 
                          c = 'petal_width')
plot.show()

输出：

示例 2：使用颜色和 line_group 参数

Python3

import plotly.express as px
  
df = px.data.iris()
  
plot = px.line_ternary(df, a = 'sepal_width',
                          b = 'sepal_length', 
                          c = 'petal_width', 
                          color = 'species',
                          line_group = 'species')
plot.show()

输出：