Plotting Treemap of a Hierarchical DataFrame
Rectangular data frames are often stored in Hierarchical form, in which the columns are different corresponding to different levels of the hierarchy. px.treemap can use path parameter which corresponding to a list of columns, but id and parent should be provided if the path is used already.
Example:
Python3
Python3import plotly.express as pxdf = px.data.tips()fig = px.treemap(df, path=['day', 'time', 'tip'], values='total_bill')fig.show() |
Output:
Plotting Hierarchical dataframe with the continuous color argument
If the color argument are passed, the average of the color values of its children, weighted by their values should be computed by color of node.
Example:
Python3
import plotly.express as pxdf = px.data.tips()fig = px.treemap(df, path=['day', 'time', 'tip'], values='total_bill', color='total_bill')fig.show() |
Output:
Plotting Hierarchical dataframe with the discrete color argument
When the non-numeric data corresponds with the color argument, then discrete color are used. If the value of the color column for all the sector is same, then the corresponding color are used, otherwise, the first color of discrete color in the sequence is used.
Example:
Python3
import plotly.express as pxdf = px.data.tips()fig = px.treemap(df, path=['day', 'time', 'tip'], values='total_bill', color='sex')fig.show() |
Output:
Treemap using Plotly in Python
Plotly is a Python library that is used to design graphs, especially interactive graphs. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more. It is mainly used in data analysis as well as financial analysis. plotly is an interactive visualization library.
Contact Us