Plotly library of Python can be very useful for data visualization and understanding the data simply and easily. Plotly graph objects are a high-level interface to plotly which are easy to use.
plotly.express.scatter_ternary() function
This method is used to create a ternary plot. A ternary plot is used to depicts the ratio of three variables on an equilateral triangle.
Syntax: plotly.express.scatter_ternary(data_frame=None, a=None, b=None, c=None, color=None, symbol=None, size=None, text=None, hover_name=None, hover_data=None, size_max=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.
symbol: This parameter is used to assign symbols to marks. It is either a name of a column in data_frame, or a pandas Series or array_like object.
size: This parameter is used to assign mark sizes. It is either a name of a column in data_frame, or a pandas Series or array_like object.
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.
Example 1:
import plotly.express as px
df = px.data.iris()
plot = px.scatter_ternary(df, a = 'sepal_width',
b = 'sepal_length',
c = 'petal_width')
plot.show() |
Output:
Example 2: Using the size and color arguments
import plotly.express as px
df = px.data.iris()
plot = px.scatter_ternary(df, a = 'sepal_width',
b = 'sepal_length',
c='petal_width',
color = 'species',
size = 'petal_length')
plot.show() |
Output:
Example 3: Using the symbol parameter
import plotly.express as px
df = px.data.iris()
plot = px.scatter_ternary(df, a = 'sepal_width',
b = 'sepal_length',
c = 'petal_width',
color = 'species',
size = 'petal_length',
symbol = 'species_id')
plot.show() |
Output: