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In this Python Matplotlib tutorial series, you will learn how to create and improve a plot in Python using pyplot. Matplotlib is a 2D plotting library written for Python. It consists of pyplot (in the code often shortened by “plt”), which is an object oriented interface to the plotting library. Matplotlib is an initiative of John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team. Lets stop talking and start creating some beautiful plots using Matplotlib!

Package Name Description and HTML Help File- a2reg Module to estimate models with two fixed effects aaplot Module for scatter plot with linear and/or quadratic fit, automatically annotated abar Module to perform Arellano-Bond test for autocorrelation abg Module to implement the Alpha-Beta-Gamma Method of Distributional Analysis aboutreg. Trusted Mac download Trimplot Make 3.1.1. Virus-free and 100% clean download. Get Trimplot Make alternative downloads. Description: 307 KB Productivity Mahdi Bchetnia Autoclick ╳ Autoclickversion1.0.1.zip Autoclick is a simple Mac app that simulates mouse clicks when needed. Highly configurable and easy to use. Updated for 10.13 9lJl1.3.1Autoclick.zip 273 kbytes.

Like any other guidelines/essays, shouldn't this have a shortcut to make this wonderful essay accessible to other editors? Perhaps WP:TRIMPLOT or something? Slightly mad 05:27, 7 January 2018 (UTC) I've seen people make shortcuts for userspace essays, but I'd think it'd be more useful if this were moved out of userspace.

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Data Visualization

In this post, we will gradually build a data visualization of two simple functions: sine and cosine. First, the main concepts are explained and then the step-by-step tutorial is explained.

Figures & Axes & Axis

The figure can be seen as the canvas, on which all drawing components are plotted. The figure consists of axes, which are subdivisions of the figure. Each of the axes consists of one or more axis (horizontal (x-axis), vertical (y-axis) or even depth (z-axis)). All of this is visualized in the following picture:

Figure, axes and axis.

First simple plots

We will now create two very, very simple plots. One containing (sine) and the other one containing (cosine). For the calculations, we use NumPy (shortened by “np”). Matplotlib is often used in combination with Numpy. The code should be self-explaining (if not, please mention it in a comment).

This results into the following:

Plot of Sine and Cosine (version 1).

Combine axes into one plot

It is also possible to combine the current axes into one plot by using the following code:

This results into the following data visualization of both functions:

Plot of Sine and Cosine (version 2, combined x-axis).

However, notice that this plot is quite simple. It is not even clear which line belongs to what function. In the next few sections, we will add gradual improvements to the plot.

Add a Legend

The first improvement is to add a legend. With the legend, it becomes clear what line belongs to what function (either sine or cosine).

This results into the following:

Plot of Sine and Cosine (version 3, added a legend).

Notice the loc=0 parameter. This sets the location of the legend. loc=0 automatically selects the best place for the legend. There is one clear downside of our current figure now. All the functions have the same color. The next improvement adds color to the plot.

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Adding some color

Adding color is one of the easiest steps! This results into the following code changes:

We now get the following plot:

Plot of Sine and Cosine (version 4, added color).

Adding Title and Axis labels

Now we will add the title to our plot and add the axis labels by using the following code changes:

This results into the following plot:

Plot of Sine and Cosine (version 5, added title and axis labels).

This already is a great plot. In the last step, we will use a different rendering engine (build on top of Matplotlib) so all our code is reused but our plot gets improved!

Using a different Rendering Style

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We will now use the seaborn library to improve the style of the plot. For this, we will use the following code:

This results into our final plot:

Plot of Sine and Cosine (version 6, using a different rendering style).

Some Excellent Videos

In this section, I will highlight some videos I found excellent for learning the concepts of pyplot.

The following video series introduce the basic concepts:

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The next few videos are on advanced topics:

Conclusion (TL;DR)

It is quite easy to create plots using Matplotlib. This tutorial shows the steps to build a plot gradually. If you have any questions, please let me know in the comments.

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  • 分类:效率工具
  • 标签:
  • 时间:2019年04月26日 更新 文件大小: 11.64 MB
  • 开发商:Manuel Castellanos 官网首页
  • 支持类型: Mac Mac OS X10.13或更高版本
  • 支持语言:英文等

来自Mac App Store官方介绍

Trimplot-Make, is an application that allows you to print previously designed pieces in a 3D design program, take a file in '.stl' format and generate the numerical code (G code) that describes the piece and what is interpreted by the printer 3d
Manages workspaces which represent print work documents, which can be saved on disk in a future version of the app.
Handles print jobs within the same workspace.
A view of 3D Models, which allows you to:
⁃ Open several files in 'STL.' Format to print them simultaneously on the printing table,
⁃ A model browser, where you can see the 3D models and each of their volumes,
⁃ A general print settings control for all models on the printing table,
⁃ The possibility of setting individual print settings to each of your models
⁃ The possibility of setting individual print settings for each of the volumes in a model
- A menu that allows you to create simple geometric figures such as: cubes, capsules, cones, cylinders, pyramids, spheres, rings, tunos and free text.
The 3D Models view includes a transformations side panel where you will obtain information regarding the selected model, and you can:
⁃ Position a model exactly on the printing table,
⁃ The possibility of assigning a height 'Z' different from 0 to the model,
⁃ Center the model on the table,
⁃ Rotate the selected model,
⁃ Scale the selected model,
⁃ Reflect the selected model.
- Export the 3D Model to an 'STL' file.
A view by layers, which allows you to:
⁃ Browse through each of the layers of the model,
⁃ The ability to set some individual print settings to each layer.
⁃ A side panel where you can see the different parts that make up a layer,
- A side panel where you can see the base polygons used to generate the different parts of a layer and edit some of its segments.
A G-Code editor, which allows you to:
⁃ Navigate through each of the generated code layers,
⁃ E edit the descriptive G-Code,
⁃ Insert special commands,
⁃ Add special instructions and custom G-code scripts,
⁃ A G-Code editor to customize start and end scripts,
⁃ A G-Code editor to customize pause and resume scripts,
⁃ A G-Code editor to create custom scripts and add them to the generated code.
- A side panel of statistics of the G-Code generating,
- A side panel where you can modify some features of the generated G-Code.
- A lower panel where you can export the generated G-Code.
The print module allows you to:
⁃ Control and print simultaneously and completely independently, how many 3D printers you have for each USB port on your computer,
⁃ A sale of control for each active printer,
⁃ One print queue for each active printer,
⁃ The possibility of assigning or unassigning the USB ports when you have several printers registered to the same port.
The application allows you to:
⁃ Volumetric or linear extrusion,
⁃ Cold extrusion,
⁃ Use of capabilities (depends on the Firmware version),
⁃ Open a generated G-Code file and assign it to a printer from among those registered.
An assistant to register 3D printers:
⁃ Allows you to register new printers in the application,
⁃ Allows you to edit the features of a registered 3D printer,
⁃ Allows you to register printers with the point of origin of the print in the center of the table.
Supported printing protocols:
⁃ Marlin firmware and derivatives,
⁃ Firmware RepRap and derivatives.
Languages:
⁃ Spanish,
⁃ English.
For comments and/or support requests write to: manuecs@gmail.com
Follow us on twitter at: @trimplot3d

…更多…

v3.1.1版本新功能

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- In this version, now you can save the print job to disk. To do this, select the print job in the model browser and select Main menu->File->Save print job ...
- The new format for saving print jobs is called '3D printing job' with '3dpj' extension.
- This new format saves the print job as it is represented on the printing bed, respecting all the general and individual print settings.
- As of this version, the general print settings are completely individual between print jobs.
- Now to access the print settings, select the job in the model browser and select Settings->Job print settings.
- We added a new print setting called 'Extra Extrusion when Recovering', which adds a small amount of input material when recovering from an extruder retraction.
- Due to the conflicts that can be generated by saving/updating the general print settings, we added a new to save the print settings.
- We added a new graph that shows the temperatures of both the extruder and the printing bed.
- We have implemented the drag and drop. Now you can drag files type '.stl' or .3dpd' and drop into the Model view, and the app will open them.
- Improvements in the performance and stability of the app.
- Minor bug fixes.

…更多…

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Trimplot Make for Mac (链接无效或不能下载请点击反馈给我们)
文件名版本下载次数上传时间上传者下载类型操作
0.http://www.trimplot3d.com/software官网下载最新--官方Mac点击下载
1.Mac App Store官方下载价格:¥128元v3.1.1382019-04-26Manuel CastellanosMac商店下载
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