Ctrl+K

Data Visualization with plotly

Data Visualization with plotly#

Installation#

You can install Plotly using pip or conda:

pip install plotly

conda install -c plotly plotly=5.18.0

Import plotly#

To use plotly in your code, you need to import it:

import plotly.express as px

Create a simple scatter plot#

We are using the Iris dataset that are built-in in the package as an example.

df = px.data.iris() # the iris dataset is built-in
fig = px.scatter(df, x="sepal_width", y="sepal_length")
fig.show()

Create a bar chart#

df = px.data.tips() # the tips dataset is built-in
fig = px.bar(df, x="day", y="total_bill")
fig.show()

Creating a Box Plot#

df = px.data.tips() # the tips dataset is built-in
fig = px.box(df, x="day", y="total_bill")
fig.show()

Creating a Histogram#

df = px.data.tips() # the tips dataset is built-in
fig = px.histogram(df, x="total_bill")
fig.show()

There are many more features and chart types which you can explore in their official documentation.

Contents