laspy | pythonic interface for reading/modifying/creating .LAS | Messaging library
kandi X-RAY | laspy Summary
kandi X-RAY | laspy Summary
Laspy is a python library for reading, modifying and creating LAS LiDAR files. Laspy is compatible with Python 3.6+.
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Top functions reviewed by kandi - BETA
- Read from the LASData stream
- Read n points from the stream
- Read n bytes from the stream
- Return a list of all the chunk table data
- Read VLR list from a stream
- Read a string from a stream
- Convert a known VLR to a VLR
- Convert from source_las to vlrs
- Set the version and point format
- Recursively recursive split
- Detect available lazily
- Empty a packed PointRecord
- Return a numpy ndtype object
- Return the record data
- Read n bytes from the server
- Write the updated header
- Add extra dimensions
- Parse record data
- Return the CRS of the layer
- Creates a lazback reader
- Writes the vlr to the given stream
- Parse GeoTiff keys from a VLR list
- Create a LoadBackend writer instance
- Create a new DimensionInfo object from a dtype
- Removes an extra dimension
- Write to a file
laspy Key Features
laspy Examples and Code Snippets
a = b'\xcf\x84o\xcf\x81\xce\xbdo\xcf\x82'
a.decode('utf-8') # τoρνoς
with open('./save.txt', 'wb') as save_file:
for i in a:
print(i.to_bytes(1, 'big')) # write it to file, not the others
print(i)
print(bytes(i
xgood = (inFile.x >= x) & (inFile.x < x+1)
ygood = (inFile.y >= y) & (inFile.y < y+1)
zgood = (inFile.z >= z) & (inFile.z < z+1)
good = xgood & ygood & zgood
found = (inFile.x[good], inFile.y[good], in
las_file = laspy.file.File("las.las", mode="rw")
las_file.classification = indexfromshp
outFile1 = laspy.file.File("laswrite2.las", mode = "w",header = inFile.header)
# copy fields
for dimension in inFile.point_for
git clone https://github.com/LASzip/LASzip.git
cd LASzip
git checkout 3.1.0
cmake .
make
sudo make install
cd ..
wget http://lastools.org/download/LAStools.zip
unzip LAStools.zip
cd LAStools
make
sudo cp bin/laszip /usr/local/bin
sudo ln -
with open(target, "wb") as f:
f.write(bytearray(header,'utf-8'))
np.sort(lasPoints["point"]["gps_time"])
print(lasPoints)
sorted_ind = np.argsort(list_of_gpstimes)
laspoints = laspoints[sorted_ind]
Community Discussions
Trending Discussions on laspy
QUESTION
I have somewhat successfully dockerized a software repository (KPConv) that I plan to work with and extend with the following Dockerfile
...ANSWER
Answered 2021-Mar-14 at 06:56Your problem is created by the linker trying to dynamically load the library. There could be several root-causes for this:
- Permissions. The user should have permission to load the library, so when mounting file systems in docker, the owner id and the group id that are in the host are not necessary the same id in the container although they might be the same name.
- Wrong binary format. The host OS is compiling the binary in wrong format. This can happen if you run the compile on (by example) macOS and use it in a linux container.
- Wrong mounting. The mounting, by example, with
noexec
will also prevent the library to be loaded. - Difference in libraries from both environments. Due to the differences of the environment where the library was compiled, you might be missing some libraries, so use
ldd grid_subsampling.cpython-35m-x86_64-linux-gnu.so
andldd -r -d -v grid_subsampling.cpython-35m-x86_64-linux-gnu.so
check all the libraries that are linked.
QUESTION
I have a byte string returned from API and store in response.content
With small content, I can save it into a file with no problem using the following code
...ANSWER
Answered 2021-Feb-19 at 04:01I see your problem on using bytes(x)
. change it to x.to_bytes(1, 'big')
solve your problem
Use below code to reveal what difference
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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