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Stl.Mesh class stl. Mesh ( data, calculatenormals=True, removeemptyareas=False, removeduplicatepolygons=, name=u', speedups=True,.kwargs )Bases: areasMesh areas attr check ( )Check the mesh is valid or not classmethod debug ( msg,.args,.kwargs )Log a message with severity ‘DEBUG’ on the root logger. NoteNote that the point was accidentaly inverted with theold version of the code. To get the old and incorrect behavioursimply pass -point instead of point or -numpy.array(point) ifyou’re passing along an array. Parameters:.

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axis ( numpy.array) – Axis to rotate over (x, y, z). theta – Rotation angle in radians, use math.radians toconvert degrees to radians if needed. point ( numpy.array) – Rotation point so manual translation is notrequiredrotateusingmatrix ( rotationmatrix, point=None ) classmethod rotationmatrix ( axis, theta )Generate a rotation matrix to Rotate the matrix over the given axis bythe given theta (angle)Uses theformula for fast rotations. Parameters:.

axis ( numpy.array) – Axis to rotate over (x, y, z). theta – Rotation angle in radians, use math.radians toconvert degrees to radians if needed.save ( filename, fh=None, mode=, updatenormals=True )Save the STL to a (binary) fileIf mode is AUTOMATIC an ASCII file will bewritten if the output is a TTY and a BINARY file otherwise. Stl.base module stl.base. AREASIZETHRESHOLD = 0When removing empty areas, remove areas that are smaller than this class stl.base. BaseMesh ( data, calculatenormals=True, removeemptyareas=False, removeduplicatepolygons=, name=u', speedups=True,.kwargs )Bases:, abcoll.MappingMesh object with easy access to the vectors through v0, v1 and v2.The normals, areas, min, max and units are calculated automatically. # Check item 0 (contains v0, v1 and v2) assert numpy. Arrayequal (.

Array ( 1., 1., 1., 2., 2., 2., 0., 0., 0. )) assert numpy. Arrayequal (.

Vectors 0. Array ( 1., 1., 1. )) assert numpy. Arrayequal (.

Array ( 1., 1., 1. )) assert numpy. Arrayequal (. Points 0. Array ( 1., 1., 1., 2., 2., 2., 0., 0., 0.

)) assert numpy. Arrayequal (. 1., 1., 1. 2., 2., 2.

0., 0., 0. Dtype = BaseMesh.

Dtype )) assert numpy. Arrayequal ( mesh. X 0 , numpy. Array ( 1., 2., 0. Points = 4 ( mesh. Points 4 ).

All True areasMesh areas attr check ( )Check the mesh is valid or not classmethod debug ( msg,.args,.kwargs )Log a message with severity ‘DEBUG’ on the root logger. Dtype = dtype(('normals', ' maxMesh maximum value minMesh minimum value normals points classmethod removeduplicatepolygons ( data, value= ) classmethod removeemptyareas ( data ) rotate ( axis, theta=0, point=None )Rotate the matrix over the given axis by the given theta (angle)Uses the in the background. NoteNote that the point was accidentaly inverted with theold version of the code. To get the old and incorrect behavioursimply pass -point instead of point or -numpy.array(point) ifyou’re passing along an array.

Parameters:. axis ( numpy.array) – Axis to rotate over (x, y, z). theta – Rotation angle in radians, use math.radians toconvert degrees to radians if needed.

point ( numpy.array) – Rotation point so manual translation is notrequiredrotateusingmatrix ( rotationmatrix, point=None ) classmethod rotationmatrix ( axis, theta )Generate a rotation matrix to Rotate the matrix over the given axis bythe given theta (angle)Uses theformula for fast rotations. Stl.mesh module class stl.mesh. Mesh ( data, calculatenormals=True, removeemptyareas=False, removeduplicatepolygons=, name=u', speedups=True,.kwargs )Bases: areasMesh areas attr check ( )Check the mesh is valid or not classmethod debug ( msg,.args,.kwargs )Log a message with severity ‘DEBUG’ on the root logger.

NoteNote that the point was accidentaly inverted with theold version of the code. To get the old and incorrect behavioursimply pass -point instead of point or -numpy.array(point) ifyou’re passing along an array. Parameters:.

Stl.stl module stl.stl. BUFFERSIZE = 4096Amount of bytes to read while using buffered reading class stl.stl. BaseStl ( data, calculatenormals=True, removeemptyareas=False, removeduplicatepolygons=, name=u', speedups=True,.kwargs )Bases: areasMesh areas attr check ( )Check the mesh is valid or not classmethod debug ( msg,.args,.kwargs )Log a message with severity ‘DEBUG’ on the root logger. NoteNote that the point was accidentaly inverted with theold version of the code. To get the old and incorrect behavioursimply pass -point instead of point or -numpy.array(point) ifyou’re passing along an array. Parameters:. axis ( numpy.array) – Axis to rotate over (x, y, z).

theta – Rotation angle in radians, use math.radians toconvert degrees to radians if needed. point ( numpy.array) – Rotation point so manual translation is notrequiredrotateusingmatrix ( rotationmatrix, point=None ) classmethod rotationmatrix ( axis, theta )Generate a rotation matrix to Rotate the matrix over the given axis bythe given theta (angle)Uses theformula for fast rotations. Parameters:.

Web viewer for samsung dvr for mac windows 10. axis ( numpy.array) – Axis to rotate over (x, y, z). theta – Rotation angle in radians, use math.radians toconvert degrees to radians if needed.save ( filename, fh=None, mode=, updatenormals=True )Save the STL to a (binary) fileIf mode is AUTOMATIC an ASCII file will bewritten if the output is a TTY and a BINARY file otherwise.

Import matplotlib.pyplot as plt ( 1, 2, 3, 4 ) ( 'some numbers' ) You may be wondering why the x-axis ranges from 0-3 and the y-axisfrom 1-4. If you provide a single list or array to thecommand, matplotlib assumes it is asequence of y values, and automatically generates the x values foryou. Since python ranges start with 0, the default x vector has thesame length as y but starts with 0.

Hence the x data are0, 1, 2, 3.is a versatile command, and will takean arbitrary number of arguments. For example, to plot x versus y,you can issue the command. ( 1, 2, 3, 4 1, 4, 9, 16 , 'ro' ) ( 0, 6, 0, 20 ) See the documentation for a completelist of line styles and format strings. Thecommand in the example above takes alist of xmin, xmax, ymin, ymax and specifies the viewport of theaxes.If matplotlib were limited to working with lists, it would be fairlyuseless for numeric processing. Generally, you will use arrays. In fact, all sequences areconverted to numpy arrays internally.

The example below illustratesplotting several lines with different format styles in one commandusing arrays. Lines = ( x1, y1, x2, y2 ) # use keyword args plt. Setp ( lines, color = 'r', linewidth = 2.0 ) # or MATLAB style string value pairs plt. Setp ( lines, 'color', 'r', 'linewidth', 2.0 )Here are the available properties. PropertyValue TypealphafloatanimatedTrue Falseantialiased or aaTrue Falseclipboxa matplotlib.transform.Bbox instancecliponTrue Falseclippatha Path instance and a Transform instance, a Patchcolor or cany matplotlib colorcontainsthe hit testing functiondashcapstyle 'butt' 'round' 'projecting'dashjoinstyle 'miter' 'round' 'bevel'dashessequence of on/off ink in pointsdata(np.array xdata, np.array ydata)figurea matplotlib.figure.Figure instancelabelany stringlinestyle or ls '-' '-' '.'

':' 'steps'.linewidth or lwfloat value in pointsmarker '+' ',' '.' '1' '2' '3' '4' markeredgecolor or mecany matplotlib colormarkeredgewidth or mewfloat value in pointsmarkerfacecolor or mfcany matplotlib colormarkersize or msfloatmarkevery None integer (startind, stride) pickerused in interactive line selectionpickradiusthe line pick selection radiussolidcapstyle 'butt' 'round' 'projecting'solidjoinstyle 'miter' 'round' 'bevel'transforma matplotlib.transforms.Transform instancevisibleTrue Falsexdatanp.arrayydatanp.arrayzorderany numberTo get a list of settable line properties, call thefunction with a line or linesas argument. Def f ( ): return ( - ).

( 2. ) = ( 0.0, 5.0, 0.1 ) = ( 0.0, 5.0, 0.02 ) ( 211 ) (, f ( ), 'bo', f ( ), 'k' ) ( 212 ) (, ( 2. ), 'r-' ) The command here is optional becausefigure(1) will be created by default, just as a subplot(111)will be created by default if you don't manually specify any axes. Thecommand specifies numrows, numcols, plotnumber where plotnumber ranges from 1 tonumrows.numcols.

The commas in the subplot command areoptional if numrows.numcols. Import matplotlib.pyplot as plt ( 1 ) # the first figure ( 211 ) # the first subplot in the first figure ( 1, 2, 3 ) ( 212 ) # the second subplot in the first figure ( 4, 5, 6 ) ( 2 ) # a second figure ( 4, 5, 6 ) # creates a subplot(111) by default ( 1 ) # figure 1 current; subplot(212) still current ( 211 ) # make subplot(211) in figure1 current ( 'Easy as 1, 2, 3' ) # subplot 211 titleYou can clear the current figure withand the current axes with. If you findit annoying that states (specifically the current image, figure and axes)are being maintained for you behind the scenes, don't despair: this is just a thinstateful wrapper around an object oriented API, which you can useinstead (see )If you are making lots of figures, you need to be aware of onemore thing: the memory required for a figure is not completelyreleased until the figure is explicitly closed with. Deleting all references to thefigure, and/or using the window manager to kill the window in whichthe figure appears on the screen, is not enough, because pyplotmaintains internal references untilis called. ( r '$sigmai=15$' )The r preceding the title string is important - it signifiesthat the string is a raw string and not to treat backslashes aspython escapes. Matplotlib has a built-in TeX expression parser andlayout engine, and ships its own math fonts - for details see. Thus you can use mathematical text across platformswithout requiring a TeX installation.

For those who have LaTeX anddvipng installed, you can also use LaTeX to format your text andincorporate the output directly into your display figures or savedpostscript - see.