12/6/2023 0 Comments Color scatter plot python seabornBokeh Bokeh is a Python data visualization library that provides interactive and responsive visualization tools for modern web browsers.To create an interactive scatter plot using Plotly, you can use the following code: import plotly.express as pxįig = px.scatter(data, x='height', y='weight', color='gender') It is easy to use and offers a wide range of customization options, making it ideal for creating stunning visualizations for web applications. Plotly Plotly is a web-based data visualization library that enables you to create interactive plots and charts.Sns.histplot(data=data, x='age', bins=20) To create a histogram using Seaborn, you can use the following code: import seaborn as sns Seaborn includes features such as easy-to-use color palettes, attractive default styles, and built-in themes. It provides a higher-level interface for creating visually appealing and informative statistical graphics. Seaborn Seaborn is another popular data visualization library in Python that is built on top of Matplotlib.To create a line plot in Matplotlib, for instance, you can use the following code: import matplotlib.pyplot as plt It is easy to use and is often the go-to library for many data scientists. With Matplotlib, you can create line plots, scatter plots, bar plots, histograms, and more. It provides a wide range of options for creating high-quality charts, graphs, and plots. Matplotlib Matplotlib is a popular data visualization library in Python.
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