Matplotlib is a data visualization program that uses Python programming language to plot 2D graphs. The graphs may be static, interactive, or animated. It's used by developers and data scientists for creating publishable documents that are easy to understand. Tasks that are associated with Matplotlib include data virtualization, NumPy, and text mining. It's a tool that can be used by data analysts to predict pricing or to incorporate customer segmentation for marketing purposes.

Why is it important to learn about Matplotlib?

It's important to learn Matplotlib as a way to turn your data into a chart or visual aid that makes it easy to understand the data and to make accurate statistical inferences. Seeing the information presented in a graph or charted format can make it easier to understand and use raw data, both for you as a data scientist using the program and for others with whom you want to share data. It may also help you advance your career or begin a new career in data science or data analysis.

What career opportunities can arise from learning Matplotlib?

Career opportunities that arise from learning Matplotlib include developer jobs, analyst careers, science jobs, and engineer careers. Developer jobs you may be able to work toward after learning Matplotlib include software developer and Python developer. Data analysts and research analysts are among the jobs in the analysis field that use this program. Two other career areas that use Matplotlib are data science and software engineering.

How can taking online courses on Coursera help me learn Matplotlib?

Taking courses on Coursera can help you learn Matplotlib by offering beginner courses that you can use to learn the foundational developer skills and how to use this open-source program. You can then move through the intermediate and advanced data science and data analysis courses to develop even more hands-on skills, such as hierarchical clustering and scalable data science, both of which may make your service more valuable to your employer.

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''matplotlib'的 50 个结果

University of Michigan
Applied Data Science with Python
您将获得的技能： Algorithms, Analysis, Applied Machine Learning, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Mining, Data Visualization, Econometrics, Extract, Transform, Load, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Matplotlib, Natural Language Processing, Network Analysis, Probability & Statistics, Programming Principles, Python Programming, Regression, Social Network, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science
4.5
（31.8k 条评论）
Intermediate · Specialization · 3+ Months
IBM
Analista de Datos de IBM
您将获得的技能： Algorithms, Analysis, Business Analysis, C Programming Language Family, Computational Logic, Computer Programming, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Model, Data Visualization, Data Visualization Software, Database Application, Databases, Econometrics, Financial Analysis, General Statistics, Machine Learning, Mathematical Optimization, Mathematics, Matplotlib, Modeling, NoSQL, Probability & Statistics, Python Programming, SQL, Spreadsheet Software, Statistical Programming, Theoretical Computer Science
4.5
（299 条评论）
Beginner · Professional Certificate · 3+ Months
IBM
Ciencia de Datos Aplicada
您将获得的技能： Algorithms, Analysis, C Programming Language Family, Computational Logic, Computer Programming, Data Analysis, Data Clustering Algorithms, Data Management, Econometrics, General Statistics, Machine Learning, Mathematics, Matplotlib, Probability & Statistics, Python Programming, Statistical Programming, Theoretical Computer Science
4.6
（87 条评论）
Beginner · Specialization · 3+ Months
University of California San Diego
Design Thinking and Predictive Analytics for Data Products
您将获得的技能： Supply Chain and Logistics, Leadership and Management, Analytics, Problem Solving, Algebra, Machine Learning, Entrepreneurship, Probability & Statistics, Feature Engineering, Python Programming, Supply Chain, Mathematics, Data Analysis, Big Data, General Statistics, Business Analysis, Research and Design, Analysis, Matplotlib, Regression, Supply Chain Systems, Computer Programming, Data Management, Statistical Programming
4.5
（61 条评论）
Intermediate · Course · 1-3 Months

与 matplotlib 相关的搜索

matplotlib python باستخدام plots إنشاء ال

plots creation using matplotlib python

python for data visualization: matplotlib & seaborn

python for data visualization:matplotlib & seaborn(enhanced)

data analysis in python with pandas & matplotlib in spyder

总之，这是我们最受欢迎的 matplotlib 门课程中的 10 门

Python for Data Visualization: Matplotlib & Seaborn: Coursera Project Network
Data Analysis in Python with pandas & matplotlib in Spyder: Codio
Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera Project Network
Plots Creation using Matplotlib Python: Coursera Project Network
MatplotLib Python باستخدام plots إنشاء ال: Coursera Project Network
Applied Data Science with Python: University of Michigan
Analista de Datos de IBM: IBM
Data Visualization with Python: IBM
Ciencia de Datos Aplicada: IBM
Applied Plotting, Charting & Data Representation in Python: University of Michigan

关于 Matplotlib 的常见问题

Matplotlib is a data visualization program that uses Python programming language to plot 2D graphs. The graphs may be static, interactive, or animated. It's used by developers and data scientists for creating publishable documents that are easy to understand. Tasks that are associated with Matplotlib include data virtualization, NumPy, and text mining. It's a tool that can be used by data analysts to predict pricing or to incorporate customer segmentation for marketing purposes.‎
It's important to learn Matplotlib as a way to turn your data into a chart or visual aid that makes it easy to understand the data and to make accurate statistical inferences. Seeing the information presented in a graph or charted format can make it easier to understand and use raw data, both for you as a data scientist using the program and for others with whom you want to share data. It may also help you advance your career or begin a new career in data science or data analysis.‎
Career opportunities that arise from learning Matplotlib include developer jobs, analyst careers, science jobs, and engineer careers. Developer jobs you may be able to work toward after learning Matplotlib include software developer and Python developer. Data analysts and research analysts are among the jobs in the analysis field that use this program. Two other career areas that use Matplotlib are data science and software engineering.‎
Taking courses on Coursera can help you learn Matplotlib by offering beginner courses that you can use to learn the foundational developer skills and how to use this open-source program. You can then move through the intermediate and advanced data science and data analysis courses to develop even more hands-on skills, such as hierarchical clustering and scalable data science, both of which may make your service more valuable to your employer.‎