Overview
Matplotlib on Ubuntu 24.04 with maintenance support by ATH. This is a repackaged open source software product wherein additional charges apply for support. Matplotlib is a powerful plotting library in Python that provides tools to generate a wide variety of charts, graphs, and plots. It offers extensive customization options, allowing users to create publication-quality visualizations with precise control over every aspect of the plot. Matplotlib integrates well with other libraries such as NumPy and Pandas, making it a popular choice for data analysis, scientific research, and engineering applications. Whether you need simple line plots or complex 3D visualizations, Matplotlib provides a robust foundation for visual storytelling in Python.
Highlights
- Matplotlib supports a vast array of plot types, including line, bar, scatter, histogram, 3D plots, and more, catering to diverse visualization needs.
- Users can customize nearly every aspect of a plot, from colors and line styles to fonts and axes, enabling the creation of highly tailored and professional visualizations.
- Matplotlib seamlessly integrates with popular Python libraries like NumPy, Pandas, and SciPy, making it a cornerstone of the Python data science ecosystem.
Details
Typical total price
$0.19/hour
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.micro AWS Free Tier | $0.01 | $0.012 | $0.022 |
t2.small | $0.09 | $0.023 | $0.113 |
t2.medium | $0.09 | $0.046 | $0.136 |
t2.large | $0.09 | $0.093 | $0.183 |
t2.xlarge | $0.09 | $0.186 | $0.276 |
t2.2xlarge | $0.09 | $0.371 | $0.461 |
t3.nano | $0.09 | $0.005 | $0.095 |
t3.micro AWS Free Tier | $0.09 | $0.01 | $0.10 |
t3.small | $0.09 | $0.021 | $0.111 |
t3.medium | $0.09 | $0.042 | $0.132 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Try one unit of this product for 5 days. There will be no software charges for that unit, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration and you will be charged for additional usage above the free units provided.
Additional details
Usage instructions
Connect your virtual machine via SSH using username "ubuntu". To Access Matplotlib use below commands to access it: Step 1: To Update the package and to Initialize the Scikit-learn Database use below command:
- sudo su
- sudo apt update Step 2: Activate the Virtual Environment and check the version using below command:
- source myenv/bin/activate
- python3 -c "import matplotlib; print(matplotlib.version)" Now its activated and you can access it. Sample is below. Step 3: Create a file sample named "test_sklearn.py" and test it using below commands:
- nano test_matplotlib.py
- python3 test_matplotlib.py
- python3 -c "import matplotlib; print(matplotlib.version)" You will see the Output Something like : "3.9.2"
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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