Explain facet plots in plotly with various functions?
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Explain facet plots in plotly with various functions?

Explain facet plots in plotly with various functions?

This recipe explains what facet plots in plotly with various functions

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Recipe Objective

Explain facet plots in plotly with various functions in it.

Facet plots these are the plots in which each panel shows a different subset of the data, these approach partitions a plot into a matrix of panels.

Step 1 - Import the libraries

import plotly.express as px import seaborn as sns

Step 2 - load the Sample data

Sample_data = sns.load_dataset("tips") Sample_data.head()

Step 3 - Plot the graph

fig = px.bar(Sample_data, x="sex", y="total_bill", color="smoker", barmode="group", facet_row="time", facet_col="day",category_orders={"day": ["Thur", "Fri", "Sat", "Sun"], "time": ["Lunch", "Dinner"]}, ) fig.show()

Here in the above plot, there are various functions used:

X - Represents the data should be plotted on x-axis

Y - Represents the data should be plotted on y-axis

color - Represents the color on plot, which will be a column present in the data.

barmode - It can be group or overlay. Group mode are placed besides each other and overlay mode are drwan on the top of one another.

facet_row - It can be a column from the data, the values from this are used to assign marks to facetted subplots i the vertical direction.

facet_col - It can be a column from the data, he values from this are used to assign marks to facetted subplots i the horiontal direction.

category_orders - these can be dictionary with string keys and list of string values, the parameter is used to force a specific ordering of values per column. The keys of this dict should correspond to column names, and the values should be lists of strings corresponding to the specific display order desired.

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