如何使用 Plotly 创建三元叠加？

Plotly 是一个Python库，用于设计图形，尤其是交互式图形。它可以绘制各种图形和图表，如直方图、条形图、箱线图、展开图等等。它主要用于数据分析以及财务分析。 plotly 是一个交互式可视化库

创建三元散点图

三元散点图是基于所需类别列的每个位置的符号的三元图，并且任何行中的三个数据点 (X + Y + Z) 的总和必须等于 100%。

Syntax: scatter_ternary( a=None, b=None, c=None, color=None,labels={},width=None, height=None)

Parameters:

a: Values from this column or array_like are used to position marks along the a axis in ternary coordinates.

b: Values from this column or array_like are used to position marks along the b axis in ternary coordinates.

c: Values from this column or array_like are used to position marks along the c axis in ternary coordinates.

color: Either a name of a column in data_frame, or a pandas Series or array_like object. Values from this column or array_like are used to assign color to marks.

width: The figure width in pixels.

height: The figure height in pixels.

编程需要懂一点英语

例子：

Python3

import plotly.express as px
  
  
df = px.data.iris()
fig = px.scatter_ternary(df, a="sepal_length",
                         b="sepal_width", c="petal_length",
                         color="species", size_max=20)
fig.show()

Python3

import plotly.express as px
import plotly.graph_objects as go
  
  
df = px.data.iris()
fig = go.Figure(go.Scatterternary({
    'mode': 'lines',
    'a': df['sepal_length'],
    'b': df['sepal_width'],
    'c': df['petal_length'],
    'line': {'color': '#444', 'shape': 'spline'},
    'marker': {
        'color': 'green',
        'size': 14,
        'line': {'width': 2}
    }
}))
  
fig.show()

输出：

创建三元等值线图

三元等高线图是一种图形表示，它通过在二维格式上绘制恒定 z 切片（称为等高线）来显示 3 维表面。

例子：

蟒蛇3

import plotly.express as px
import plotly.graph_objects as go
  
  
df = px.data.iris()
fig = go.Figure(go.Scatterternary({
    'mode': 'lines',
    'a': df['sepal_length'],
    'b': df['sepal_width'],
    'c': df['petal_length'],
    'line': {'color': '#444', 'shape': 'spline'},
    'marker': {
        'color': 'green',
        'size': 14,
        'line': {'width': 2}
    }
}))
  
fig.show()