What is the translation of " MATPLOTLIB " in English?

• matplotlib

Examples of using Matplotlib in Chinese and their translations into English

它是基于matplotlib。
It is based on matplotlib.

为什么大家都在否定Matplotlib？?
Why all the negativity towards matplotlib?

它是基于matplotlib。
It is also developed on Matplotlib.

Seaborn基于Matplotlib，并高度依赖于此。
Seaborn is based on Matplotlib and highly dependent on that.

它是基于matplotlib。
It is developed on the basis of matplotlib.

与之前的库相反，这个库独立于Matplotlib。
In contrast to the previous library, this one is independent of Matplotlib.

它不如基于matplotlib的解决方案灵活。
It is not as flexible as the matplotlib based solutions.

毫不奇怪，最受欢迎的数据科学框架和库是：NumPy，Pandas，Matplotlib和SciPy。
No surprises here, the most popular data science frameworks and libraries are: NumPy, Pandas, Matplotlib, and SciPy.

Seaborn是一个基于matplotlib的可视化库。
Seaborn is an advanced visualization library based on Matplotlib.

查看这个在matplotlib上的笔记本，看看可以如何简练地进行呈现：WEB.
Check out this notebook on matplotlib to see how beautifully and neatly it can be represented.

Pandas可用于数据分析，Matplotlib库可用于绘制图形。
The pandas library can be used for the data analysis, and the matplotlib library can be used for plotting graphs.

让我们使用networkx的matplotlib和draw_networkx（）函数绘制和可视化图形。
Let us plot and visualize the graph using the matplotlib and draw_networkx() functions of networkx.

Glue是用Python编写的，并且建立在其标准科学库（即Numpy，Matplotlib，Scipy）之上。
Glue is written in Python, and built on top of its standard scientific libraries(i.e., Numpy, Matplotlib, Scipy).

我只是认为你需要对matplotlib+pandas+seaborn有一个基础的了解。
I just think you will need a basic understanding of matplotlib+ pandas+ seaborn to start.

你首先可以显示输出它们，但为什么不使用matplotlib来得到交通标志本身的图表并进行视觉比较呢？?
You can first print them out, but why not use matplotlib to plot the traffic signs themselves and make a visual comparison?

Matplotlib是一个欢迎且包容的项目，我们在做的所有事情都遵循Python软件基金会的行为准则。
Matplotlib is a welcoming, inclusive project, and we try to follow the Python Software Foundation Code of Conduct in everything we do.

SciPy构建在NumPy数组对象之上，是Stack的一部分，其中包括Matplotlib、Pandas和SymPy等工具。
SciPy builds on the NumPy array object and is part of the NumPy stack which includes tools like Matplotlib, pandas and SymPy.

Matplotlib最初由JohnD.Hunter撰写，它拥有一个活跃的开发社区，并且根据BSD样式许可证分发。
Matplotlib was originally written by John D. Hunter, has an active development community, and is distributed under a BSD-style license.

据报道，在数据开发人员中，NumPy，Pandas，Matplotlib和SciPy是最受欢迎的数据科学框架和库。
Among data developers, NumPy, Pandas, Matplotlib and SciPy are reportedly the most popular data science frameworks and libraries in use.

你可能熟知一些提供数据可视化的Python库，其中最流行的就是matplotlib和seaborn。
You may be familiar with some of the libraries Python has to offer for data visualization; the most popular of which are matplotlib and seaborn.

学习使用强大的开源python工具，包括熊猫、git和matplotlib，来操作、分析和可视化复杂的数据集。
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Scikit-learn是在另外三个开源项目Matplotlib，NumPy和SciPy上设计的，它专注于数据挖掘和数据分析。
Scikit-learn is designed on three other open source projects- matplotlib, NumPy, and SciPy- and it focuses on data mining and data analysis.

在后面的教程中你会看到其他一些packages，比如包括Seaborn，一个基于matplotlib的可视化库。
You will see some other packages in the tutorials below, including, for example, Seaborn, which is a data visualization library based on matplotlib.

Matplotlib是一个受欢迎、包容的项目，我们试图遵循PythonSoftwareFoundationCodeofConduct我们做的每件事。
Matplotlib is a welcoming, inclusive project, and we try to follow the Python Software Foundation Code of Conduct in everything we do.

这些二进制文件包含完整的SciPy堆栈(包括NumPy,SciPy,matplotlib,IPython,SymPy和鼻子包以及核心Python)。
These binaries contain full SciPy stack(inclusive of NumPy, SciPy, matplotlib, IPython, SymPy and nose packages along with core Python).

使用numpy、SciPy和matplotlib等其他库构建，对统计建模技术（如分类，回归和聚类）非常有效。
Built using other libraries such as numpy, SciPy, and matplotlib, it is very efficient for statistical modeling techniques such as classification, regression, and clustering.

你也可能对教程非常有兴趣，关于如何使用Matplotlib开发人员编写的Sphinx创建自定义文档。
You might also be interested in the exact pleasant tutorial about how to create a customized documentation utilizing Sphinx written by the matplotlib developers.

Matplotlib可用于Python脚本，Python和IPythonshell，jupyter笔记本，Web应用服务器以及四个图形用户界面工具包。
Matplotlib can be used in Python scripts, Python and IPython shell's, jupyter notebook's, web application servers, and four graphical user interface toolkits.

PyCharm与IPythonNotebook集成，具有交互式Python控制台，并支持Anaconda以及多个科学软件包，包括matplotlib和NumPy。
PyCharm integrates with Jupyter Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages including Matplotlib and NumPy.