Points Import for AutoCAD is a Point Text file import plug-in for AutoCADÃ??Ã?Â®. This plug-in gives AutoCAD powered applications the ability to import point data from text files.
Point data is commonly stored in plain text file as a series of x, y and z coordinates, separated by a comma, space, tab, semicolon or a custom separator. These text files may also contain other information about the points such as point number and point descriptions. Moreover, points from a survey may be stored in the Northing, Easting, Elevation format. Points Import for AutoCAD extracts the point information from text files and creates point entities in the active drawing. Optionally it can also create text entities for point numbers, point descriptions and point coordinates. The points can also be joined by a chain of lines, a polyline or a spline. This is helpful when the points in the point file are stored in a particular order such as a path of motion of an object, points on the boundary of an object or hole in an object, etc.
Points Import for AutoCAD supports the following point file formats:
X, Y, Z
Number, X, Y, Z
X, Y, Z, Description
Number, X, Y, Z, Description
Northing, Easting, Elevation
Number, Northing, Easting, Elevation
Northing, Easting, Elevation, Description
Number, Northing, Easting, Elevation, Description
Points Import for AutoCAD is very easy to use as it adds a new command to the AutoCAD powered application called "PointsImport". Simply type "PointsImport" at the command prompt and the "Point File" dialog (shown below) will be will displayed where you can select a Point file to import into the active drawing.
The 'PointsImport' menu consists of the following commands:
# PointsImport - Import a Point file
# PointsImportHelp - Display the Points Import for AutoCAD help file
# PointsImportRegister - Register your copy of Points Import for AutoCAD
# PointsImportAbout - Display the Points Import for AutoCAD About box
Free to try
Windows Server 2008
Efforts to detect fake news are not as advanced as they would appear, given that the best practices so far rely on pattern detection that can itself be exploited by malicious actors, according to new research from MIT.