[Term Entry] Python:Plotly Graph Objects: .Parcoords()

content/plotly/concepts/graph-objects/terms/parcoords/parcoords.md

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+---
+Title: '.Parcoords()'
+Description: 'Creates a parallel coordinates plot representing multivariate data.'
+Subjects:
+  - 'Data Science'
+  - 'Data Visualization'
+Tags:
+  - 'Plotly'
+  - 'Graphs'
+  - 'Data'
+  - 'Values'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/computer-science'
+---
+
+In Plotly, the **`.Parcoords()`** function under the [`graph_objects`](https://www.codecademy.com/resources/docs/plotly/graph-objects) module creates a parallel coordinates plot representing multivariate data. Each row of the given dataset is plotted as a polyline between the parallel axes.
+
+## Syntax
+
+```pseudo
+plotly.graph_objects.Parcoords(line=None, dimensions=None, ...)
+```
+
+- `line`: A dictionary of class properties to be used.
+- `dimensions`: A list of dictionaries with class properties to be used.
+
+> **Note:** The ellipsis (...) in the syntax indicates that there are additional optional parameters beyond those listed here to customize the parcoords plot.
+
+## Example
+
+This code creates a parallel coordinates plot using the `.Parcoords()` function:
+
+```py
+import plotly.graph_objects as go
+import plotly.express as px
+import pandas as pd
+
+# Load the Iris dataset
+df = px.data.iris()
+
+# Create a parallel coordinates plot
+fig = go.Figure(data=
+  go.Parcoords(
+    line = dict(color = df['species_id'],
+                colorscale = [[0, 'gold'], [0.5, 'teal'], [1.0, 'purple']]),
+    dimensions = list((
+      dict(range = [0,8],
+           constraintrange = [4,8],
+           label = 'Sepal Length', values = df['sepal_length']),
+      dict(range = [0,8],
+           label = 'Sepal Width', values = df['sepal_width']),
+      dict(range = [0,8],
+           label = 'Petal Length', values = df['petal_length']),
+      dict(range = [0,8],
+           label = 'Petal Width', values = df['petal_width'])
+    ))
+  )
+)
+
+# Display the plot
+fig.show()
+```
+
+In the above code, the data in the `DataFrame` can be accessed through the `dimensions` class and the lines of the parallel coordinates plot can be adjusted with the `line` class properties.
+
+The above code generates the following output:
+
+![Output for the above code](https://raw.githubusercontent.com/Codecademy/docs/main/media/plotly-go-parcoords.png)