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This article mainly introduces "Python+matplotlib how to achieve the volume field drawing". In the daily operation, I believe that many people have doubts about how to achieve the quantity field drawing by Python+matplotlib. The editor consulted all kinds of data and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts of "how to realize the quantity field drawing by Python+matplotlib". Next, please follow the editor to study!

1. An overview of the quantity field diagram what is the quantity field diagram?

The quantity field chart is also known as the vibration diagram and the quantity field diagram. Represented by a set of vector arrows

The vector field graph represents one vector corresponding to another vector.

The quantity that forms the field is a vector, which is called a vector field.

Usage scenario of quantum field diagram

Quantum field diagrams are usually used in physics, such as electromagnetic field representation.

The quantity field map is also used to draw geomagnetic maps based on the observed data of various magnetic stations.

The commonly used vector fields in physics are wind field, gravitational field, electromagnetic field, water flow field and so on.

The method of drawing quantity field graph import matplotlib.pyplot as plt plt.quiver () 2. Set the color of the field chart attribute

Vector color keyword: color or facecolor

When facecolor and color are set at the same time, facecolor will be given priority

Value range

English words for color: such as red "red"

Abbreviations for color words such as red "r" and yellow "y"

RGB format: hexadecimal format such as "# 88c999"; (rMagnegMagneb) tuple form

You can also pass in a color list

Set transparency

Keyword: alpha

The value is 0: 1.

Set vector arrowhead size

Keyword: units

Default value is: width

Available values are: {'width',' height', 'dots',' inches','x,'y', 'xy'}

Width,height: represents the width and height of the axis

Dots,inches: pixels or inches based on graphics dpi

Data of the square root of x ^ 2 + y ^ 2)

Set the position of vector arrows in coordinates

Keyword: pivot

Default value is: tail

Value can be: {'tail',' mid', 'middle',' tip'}

Set the width of the vector arrow

Keyword: width

The default value is 0.005

The value is as follows: floating point

3. Steps of drawing quantum field diagram

We also need to use matplotlib.pyplot when drawing the quantum field, so let's take a look at the steps of drawing the quantum field.

Import matplotlib.pyplot CLA

Import matplotlib.pyplot as plt

Use arange (), random (), sin (), cos () and other methods in the numpy library to prepare XPerot y-axis data.

X = np.arange (- 10pc10rem 1) y = np.arange (- 10pje 10rem 1)

Call the numpy.meshgrid () method to generate 2D grid coordinates

UBI v = np.meshgrid (XBI y)

Call pyplot.quiver (xmeny _ rep _ umeno _ v _ c) to draw the quantity field diagram.

Plt.quiver parameter description x one-dimensional or two-dimensional array or sequence, represents the one-dimensional or two-dimensional array or sequence of the arrow position, represents the one-dimensional or two-dimensional array or sequence of the y coordinate u of the arrow position, represents the one-dimensional or two-dimensional array or sequence of the x component v of the arrow vector, represents the one-dimensional or two-dimensional array or sequence of the y component c of the arrow vector, and represents the arrow color.

Call pyplot.show () to render the display icon

Plt.show ()

4. Try a bull's knife

Let's learn the method of drawing the quantum field above. Let's draw an electromagnetic field diagram of the scene in senior high school physics.

Call the numpy.meshgrid () method to generate a two-dimensional list of x _ ray y-axis data

Call numpy.gradient () to generate gradient data for UBI v

A = np.arange, b = np.arange, z = x*np.exp (- x**2-y**2), v, np.gradient, u, np.gradient, plt.quiver, pivot=, tip, units=, inches, plt.scatter, plt.scatter, plt.show, etc. On the "Python+matplotlib how to achieve the volume field drawing" study is over, I hope to be able to solve everyone's doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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