Plotly’s connectgaps attribute is used to connect the data points of a line or scatter plot even when there are missing values or gaps in the data. When connectgaps is set to true, Plotly automatically interpolates a line segment between the two nearest data points to fill in the gap. This can be useful for visualizing trends and patterns in the data.
Here is an example to illustrate the use of connectgaps in Plotly:
import plotly.express as px
# Sample data with missing values
data = {'x': [1, 2, None, 4, 5],
'y': [10, 15, None, 35, 45]}
fig = px.line(data, x="x", y="y", connectgaps=True)
fig.show()
In this example, we have a line plot with missing values for x=3 and y=25. By setting connectgaps to true, Plotly automatically connects the existing data points and fills in the missing values with an interpolated line segment.
It’s important to note that connectgaps only applies to line and scatter plots. For other plot types, such as bar plots or pie charts, this option is not applicable.