What is the translation of " MATPLOTLIB " in Chinese?

• matplotlib
• 一个matplotlib

Examples of using Matplotlib in English and their translations into Chinese

For that you will need matplotlib.
为此，您需要使用matplotlib库。

Matplotlib provides a totally configurable system for ticks.
Matplotlib为刻度提供完全可配置的系统。

You will also need numpy and matplotlib to view your plots inside the notebook.
你还需要numpy和matplotlib库来在notebook内查看图片。

The Matplotlib license is based on the Python Software Foundation(PSF) license.
该Matplotlib许可证是基于Python软件基金会（PSF）的许可。

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

NumPy+ MatPlotLib is kind of a way of doing the same thing in Python.
NumPy+MatPlotLib几乎跟Python的功能是一样的。

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

Pyplot is a matplotlib module which provides a MATLAB-like interface.
Pyplot是一个matplotlib模块，他提供了一个类似MATLAB的界面。

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

Pyplot is a matplotlib module which provides a MATLAB-like interface.
Pyplot是一个matplotlib模块，它提供了一个类似MATLAB的界面。

SciPy builds on the NumPy array object and is part of the NumPy stack which includes tools like Matplotlib, pandas and SymPy.
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。

The Matplotlib license is based on the Python Software Foundation(PSF) license.
这个Matplotliblicense是基于PythonSoftwareFoundation(PSF)license.

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.
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。

Another historic challenge with matplotlib is that some of the default style choices were rather unattractive.
使用Matplotlib的另一个历史性挑战是一些默认的样式缺乏吸引力。

You will see some other packages in the tutorials below, including, for example, Seaborn, which is a data visualization library based on matplotlib.
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 can use the Matplotlib library to generate basic graphs and charts from the data embedded in your Python.
你可以使用Matplotlib库来从你的Python中嵌入的数据生成基本的图形和图表。

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
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。

Matplotlib is a welcoming, inclusive project, and we try to follow the Python Software Foundation Code of Conduct in everything we do.
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。

Since Seaborn is built on top of matplotlib, you will need to know matplotlib to tweak Seaborn's defaults.
由于Seaborn是构建在matplotlib的基础上的，你需要了解matplotlib从而来调整Seaborn的默认参数。

Matplotlib was originally written by John D. Hunter, has an active development community, and is distributed under a BSD-style license.
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。

Scikit-learn is designed on three other open source projects- matplotlib, NumPy, and SciPy- and it focuses on data mining and data analysis.
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。

Matplotlib is a welcoming, inclusive project, and we try to follow the Python Software Foundation Code of Conduct in everything we do.
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。

These binaries contain full SciPy stack(inclusive of NumPy, SciPy, matplotlib, IPython, SymPy and nose packages along with core Python).
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)。

You might also be interested in the exact pleasant tutorial about how to create a customized documentation utilizing Sphinx written by the matplotlib developers.
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。

Please consider donating to the Matplotlib project through the Numfocus organization or to the John Hunter Technology Fellowship.
请考虑通过Numfocus组织向Matplotlib项目捐款或向约翰·亨特技术奖学金捐款。

PyCharm integrates with Jupyter Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages including Matplotlib and NumPy.
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。

Among data developers, NumPy, Pandas, Matplotlib and SciPy are reportedly the most popular data science frameworks and libraries in use.
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。

Matplotlib can be used in Python scripts, Python and IPython shell's, jupyter notebook's, web application servers, and four graphical user interface toolkits.
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。

Built using other libraries such as numpy, SciPy, and matplotlib, it is very efficient for statistical modeling techniques such as classification, regression, and clustering.
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。