Plotly Express VS Plotly Graph Objects
One of the plotly particularities is that it offers two different ways to create plots: plotly.graph_objects and plotly.express. Both of them are high-level interfaces to plotly, but they have different syntaxes and functionalities. You can learn more about here.
- Plotly express has a simpler syntax and is more user-friendly
- Plotly graph objects, on the other side offer more flexibility and customization
In this post, we will see how to use both for treemaps. Let's start by load them (use pip install plotly if you don't have it yet):
import plotly.express as px
import plotly.graph_objects as go
# we will use pandas to read the data
import pandas as pd
# create a dataset for the treemaps
df = pd.DataFrame({
"names": ["Company", "Sales", "Marketing", "Tech", "North Region", "South Region", "SEO", "Advertising", "Development", "Support"],
"parents": ["", "Company", "Company", "Company", "Sales", "Sales", "Marketing", "Marketing", "Tech", "Tech"]
})
df.head()| names | parents | |
|---|---|---|
| 0 | Company | |
| 1 | Sales | Company |
| 2 | Marketing | Company |
| 3 | Tech | Company |
| 4 | North Region | Sales |
Plotly Express
fig = px.treemap(
df,
names='names',
parents='parents'
)
fig.update_traces()
fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
fig.show()Now we save it as an html element in order to render it
# save widget to html
fig.write_html(
"../../static/interactiveCharts/580-simple-interactive-treemap-plotly-1.html"
)Plotly Graph Objects
fig = go.Figure(go.Treemap(
labels=df['names'],
parents=df['parents']
))
fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
fig.show()Now we save it as an html element in order to render it
# save widget to html
fig.write_html(
"../../static/interactiveCharts/580-simple-interactive-treemap-plotly-2.html"
)
