blockdiagram

KO | EN

gitlite — search

#react #typescript #machine-learning #rust #deep-learning #docker #macos #java #windows #cli #kubernetes #security #pytorch #open-source

(★ 45)

A python module for creating block diagrams and other 3D displays from stratigraphic models

blockdiagram 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

### Note that `blockdiagram` is now superceded by the `stratigraph` (https://github.com/zsylvester/stratigraph) package. You should check out `stratigraph` if you are interested in creating 3D displays similar to those created by `blockdiagram`.

## Description

'blockdiagram' is a Python module for creating block diagrams and other three-dimensional displays from stratigraphic models. It is designed to work with [meanderpy](https://github.com/zsylvester/meanderpy), but it should work with any model that consists of a stack of stratigraphic surfaces.

## Requirements

numpy  
matplotlib  
mayavi  
scipy  
PIL

## Installation

```code
pip install blockdiagram
```

## Usage

The main function in 'blockdiagram' is 'create_exploded_view'. It can either be used to generate a normal block diagram or an exploded-view block diagram, in which the model is split into several smaller blocks so that more stratigraphic detail is visible. Fence diagrams can be created as well. Here is a typical set of input parameters:

```python
mlab.figure(bgcolor=(1,1,1)) 
# parameters
ve = 15.0 # vertical exaggeration
scale = 0.1 # scaling of diagram (important for 3D printing)
strat_switch = 1 # equals 1 if you want stratigraphy displayed on the sides
layers_switch = 0 # equals 1 if you want stratigraphic boundaries displayed on the sides
contour_switch = 0 # equals 1 if you want contours displayed on the top surface
dx = 10.0 # cell size for display
bottom = np.min(chb_3d.strat) - 1.5 # elevation of bottom side of diagram
color_mode = 'property' # determines how the stratigraphy will be colored; can be 'property', 'facies', or 'time'
colors = [[0.5,0.25,0],[0.9,0.9,0],[0.5,0.25,0]] # colors for 'facies' display
line_thickness = 1.0 # thickness of lines if 'layers_switch' is 1
gap = 20 # distance between exploded blocks (if any; in number of gridcells)
h = 5.0 # channel depth (m)
nx = 1 # number of blocks in x direction
ny = 1 # number of blocks in y direction

bd.create_exploded_view(chb_3d.strat,chb_3d.facies,chb_3d.topo,h,nx,ny,gap,dx,ve,scale,strat_switch,
                        layers_switch,contour_switch,color_mode,colors,line_thickness,bottom)
```
If the command above is run with nx=1 and ny=1 (the number of blocks in the x and y directions), a simple block diagram is displayed:
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_1.png" width="800">

Changing nx and ny to 3 results in something like this:
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_2.png" width="800">

Both of the models above have been colored using the 'property' setting for the 'color_mode' parameter, so that the change from yellow to brown in the point bars reflects the change in grain size (and porosity/permeability). This setting can also be set to 'facies' (when each facies, e.g., point bar vs. overbank, gets its own color) or to 'time', when layers are colored according to their relative age - see example below.
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_5.png" width="800">

Another functionality is to create a 'random' section from the model. In order to do that, the location of the section has to be selected on a map of the top surface, using the 'select_random_section' function:

```python
xcoords, ycoords = bd.select_random_section(chb_3d.strat) # define x and y coordinates for random section
mlab.figure(bgcolor=(1,1,1))
color_mode = 'property'
bd.create_random_section_n_points(chb_3d.strat,chb_3d.facies,chb_3d.topo,h,scale,ve,color_mode,colors,
                                   xcoords[:-1],xcoords[1:],ycoords[:-1],ycoords[1:],dx,bottom)
```
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_6.png" width="300">
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_7.png" width="800">

You can also cut a "cookie" from the model, using the 'create_random_cookie' option:

```python
xcoords, ycoords = bd.select_random_section(chb_3d.strat) # define x and y coordinates for random section
mlab.figure(bgcolor=(1,1,1))
bd.create_random_cookie(chb_3d.strat,chb_3d.facies,chb_3d.topo,h,scale,ve,color_mode,colors,xcoords[:-1],xcoords[1:],
                        ycoords[:-1],ycoords[1:],dx,bottom)
```
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_4.png" width="300">
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_3.png" width="800">

A more traditional way to look at 3D data or models is a fence diagram:

```python
mlab.figure(bgcolor=(1,1,1))
bd.create_fence_diagram(chb_3d.strat,chb_3d.facies,chb_3d.topo,h,6,2,gap,dx,ve,scale,layers_switch,color_mode,colors,line_thickness,bottom,export)
```
<img src="https://github.com/zsylvester/blockdiagram/blob/master/fluvial_model_example_8.png" width="800">

## License

'blockdiagram' is licensed under the Apache License 2.0

blockdiagram

blockdiagram 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

blockdiagram

blockdiagram 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README