I have developed a tool in python 2.7 that take xsd file as input ,
and give the process data into a test file
During processing the xsd file I used lxml, I am unable to resolve this sort of error.
AttributeError: 'Element' object has no attribute 'iterdescendants'
I don`t know what wrong with the lxml lib.
I want to know is there any lxml Linux compatible version for python 2.7
I have imported in the file like below:
try:
from lxml import etree
except ImportError:
import xml.etree.ElementTree as etree
I have imported only in file , and sending the element tree pointer to process the the element into another file ,
it is OK in the declared file , giving error in another file only.
the code throw the error is :
for tdocNode in lincFileRootNode:
rootNode = tdocNode.getroot()
lchildren = rootNode.getchildren()
for elt in lchildren:
if 'complex' == elt.tag:
if 'name' in elt.attrib:
if 'element' == item.tag:
if 'type' in item.attrib:
if elt.attrib['name'] == item.attrib['type']:
for key in elt.iterdescendants(tag='element'):
bIsElemTypeSimple = false
bIsElemTypeSimple = process_elementtype(key, lincFileRootNode)
where :
lincFileRootNode --> is list that containe the xsd file pointer to be processed
the error thrown is :
Traceback (most recent call last):
File "run.py", line 1210, in <module>
iret = xsd2dic_main()
File "run.py", line 71, in xsd2dic_main
iRet = yxsdtodic()
File "run.py", line 352, in yxsdtodic
iret = process_xsdfile(sXsdPath)
File "run.py", line 485, in xsdfile
sRet = process_dic_elementtype(item,lincFileRootNode)
File "run.py", line 817, in process_dic_elementtype
for key in elt.iterdescendants(tag='element'):
AttributeError: 'Element' object has no attribute 'iterdescendants'
i tired in the both the cases :
1:writing all code in a same file
2:writing different files
still i am getting the same error
This is mostly a guess, but look into it.
You appear to be calling iterdescendants from lxml's implementation of the Element type. However, if lxml fails to import, you fall back on Python's built in xml library instead. But it's implementation of Element doesn't have an iterdescendants methods of any kind. In other words, the two implementations have different public APIs. Add some print statements to see which library you're importing and do some additionally checking to see exactly what type elt is. If you want to be able to fall back on Python's built in xml, you'll need to structure your code to accommodate the different APIs.
Related
I am new to HDF5 file format and I have a data(images) saved in HDF5 format. The images are saved undere a group called 'data' which is under the root group as Carrays. what I want to do is to retrive a slice of the saved images. for example the first 400 or somthing like that. The following is what I did.
h5f = h5py.File('images.h5f', 'r')
image_grp= h5f['/data/'] #the image group (data) is opened
print(image_grp[0:400])
but I am getting the following error
Traceback (most recent call last):
File "fgf.py", line 32, in <module>
print(image_grp[0:40])
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
(/feedstock_root/build_artefacts/h5py_1496410723014/work/h5py-2.7.0/h5py/_objects.c:2846)
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
(/feedstock_root/build_artefacts/h5py_1496410723014/work/h5py
2.7.0/h5py/_objects.c:2804)
File "/..../python2.7/site-packages/h5py/_hl/group.py", line 169, in
__getitem__oid = h5o.open(self.id, self._e(name), lapl=self._lapl)
File "/..../python2.7/site-packages/h5py/_hl/base.py", line 133, in _e name = name.encode('ascii')
AttributeError: 'slice' object has no attribute 'encode'
I am not sure why I am getting this error but I am not even sure if I can slice the images which are saved as individual datasets.
I know this is an old question, but it is the first hit when searching for 'slice' object has no attribute 'encode' and it has no solution.
The error happens because the "group" is a group which does not have the encoding attribute. You are looking for the dataset element.
You need to find/know the key for the item that contains the dataset.
One suggestion is to list all keys in the group, and then guess which one it is:
print(list(image_grp.keys()))
This will give you the keys in the group.
A common case is that the first element is the image, so you can do this:
image_grp= h5f['/data/']
image= image_grp(image_grp.keys[0])
print(image[0:400])
yesterday I had a similar error and wrote this little piece of code to take my desired slice of h5py file.
import h5py
def h5py_slice(h5py_file, begin_index, end_index):
slice_list = []
with h5py.File(h5py_file, 'r') as f:
for i in range(begin_index, end_index):
slice_list.append(f[str(i)][...])
return slice_list
and it can be used like
the_desired_slice_list = h5py_slice('images.h5f', 0, 400)
Im trying to use ElementTree to get data from a .config file. The structure of this file is like this for example:
<userSettings>
<AutotaskUpdateTicketEstimatedHours.My.MySettings>
<setting name="Username" serializeAs="String">
<value>AAA</value>
</setting>
My code is this:
import os, sys
import xml.etree.ElementTree as ET
class Init():
script_dir = os.path.dirname(__file__)
rel_path = "app.config"
abs_file_path = os.path.join(script_dir, rel_path)
tree = ET.parse(abs_file_path)
root = tree.getroot()
sites = root.iter('userSettings')
for site in sites:
apps = site.findall('AutotaskUpdateTicketEstimatedHours.My.MySettings')
for app in apps:
print(''.join([site.get('Username'), app.get('value')]))
if __name__ == '__main__':
handler = Init()
However, when I run this code I get:
Traceback (most recent call last):
File "/Users/AAAA/Documents/Aptana/AutotaskUpdateTicketEstimatedHours/Main.py", line 5, in <module>
class Init():
File "/Users/AAA/Documents/Aptana/AutotaskUpdateTicketEstimatedHours/Main.py", line 16, in Init
print(''.join([site.get('Username'), app.get('value')]))
TypeError: sequence item 0: expected string, NoneType found
What I'm I doing wrong the causes this error?
(My problem seems to be accessing the tree structure of my config.file correctly)
You may change your code to:
print(''.join([app.get('name'), app.find('value').text]))
app is an Element Object in this case <setting>. Using the get function you will get an attribute value by name (e.g. name, serializeAs), using the find
function you will get a subelement (e.g <value>).
Once you have <value> you can get the data inside with text
Note that site (<AutotaskUpdateTicketEstimatedHours.My.MySettings>) doesn't have any attributes, therefore you get None.
When working with pickled data I encountered a different behavior for the io.open and __builtin__.open. Consider the following simple example:
import pickle
payload = 'foo'
fn = 'test.pickle'
pickle.dump(payload, open(fn, 'w'))
a = pickle.load(open(fn, 'r'))
This works as expected. But running this code here:
import pickle
import io
payload = 'foo'
fn = 'test.pickle'
pickle.dump(payload, io.open(fn, 'w'))
a = pickle.load(io.open(fn, 'r'))
gives the following Traceback:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "D:\WinPython-32bit-2.7.8.1\python-2.7.8\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 580, in runfile
execfile(filename, namespace)
File "D:/**.py", line 15, in <module>
pickle.dump(payload, io.open(fn, 'w'))
File "D:\WinPython-32bit-2.7.8.1\python-2.7.8\lib\pickle.py", line 1370, in dump
Pickler(file, protocol).dump(obj)
File "D:\WinPython-32bit-2.7.8.1\python-2.7.8\lib\pickle.py", line 224, in dump
self.save(obj)
File "D:\WinPython-32bit-2.7.8.1\python-2.7.8\lib\pickle.py", line 286, in save
f(self, obj) # Call unbound method with explicit self
File "D:\WinPython-32bit-2.7.8.1\python-2.7.8\lib\pickle.py", line 488, in save_string
self.write(STRING + repr(obj) + '\n')
TypeError: must be unicode, not str
As I want to be future-compatible, how can I circumwent this misbehavior? Or, what else am I doing wrong here?
I stumbled over this when dumping dictionaries with keys of type string.
My python version is:
'2.7.8 (default, Jun 30 2014, 16:03:49) [MSC v.1500 32 bit (Intel)]'
The difference is not supprising, because io.open() explicitly deals with Unicode strings when using text mode. The documentation is quite clear about this:
Note: Since this module has been designed primarily for Python 3.x, you have to be aware that all uses of “bytes” in this document refer to the str type (of which bytes is an alias), and all uses of “text” refer to the unicode type. Furthermore, those two types are not interchangeable in the io APIs.
and
Python distinguishes between files opened in binary and text modes, even when the underlying operating system doesn’t. Files opened in binary mode (including 'b' in the mode argument) return contents as bytes objects without any decoding. In text mode (the default, or when 't' is included in the mode argument), the contents of the file are returned as unicode strings, the bytes having been first decoded using a platform-dependent encoding or using the specified encoding if given.
You need to open files in binary mode. The fact that it worked without with the built-in open() at all is actually more luck than wisdom; if your pickles contained data with \n and/or \r bytes the pickle loading may well fail. The Python 2 default pickle happens to be a text protocol but the output should still be considered as binary.
In all cases, when writing pickle data, use binary mode:
pickle.dump(payload, open(fn, 'wb'))
a = pickle.load(open(fn, 'rb'))
or
pickle.dump(payload, io.open(fn, 'wb'))
a = pickle.load(io.open(fn, 'rb'))
I have been struggling with this for a while. I have used py2exe and cx_freeze to package everything. I am using a 32 bit machine and Everything works fine and the interface opens up and everything just that I know the entire puLP package is not being copied correctly into the package. I know this because the solver does not work. Inside both library zips in the packages created by py2exe and cx_freeze, there are only .pyc files included where PuLP has cbc.exe and other file types that make the solver work.
Is there any work around this? I have tried copying the actual PuLP package into the library.zip as well as into the dist folder and that didn't work.
Here is the setup I used for py2exe:
import sys
from cx_Freeze import setup, Executable
# Dependencies are automatically detected, but it might need fine tuning.
build_exe_options = {"packages": ["pulp"],
"icon": "icon.ico",
"include_files": ["icon.ico","cbc.exe","cbc-32","cbc-64","cbc-osx-64","CoinMP.dll"]}
# GUI applications require a different base on Windows (the default is for a
# console application).
base = None
if sys.platform == "win32":
base = "Win32GUI"
setup( name = "my_app",
version = "0.1",
options = {"build_exe": build_exe_options},
executables = [Executable("my_app.py", base=base)])
I received the following error:
Exception in Tkinter callback
Traceback (most recent call last):
File "Tkinter.pyc", line 1470, in __call__
File "my_app.py", line 796, in <lambda>
File "my_app.py", line 467, in branchAndBound
File "pulp\pulp.pyc", line 1619, in solve
AttributeError: 'NoneType' object has no attribute 'actualSolve'
EDIT
I tried to change the paths to cbc.exe and CoinMP.dll but that didn't really work either. I am probably missing something.
I changed the following inside solvers.py in the PuLP package:
try:
coinMP_path = config.get("locations", "CoinMPPath").split(', ')
except configparser.Error:
coinMP_path = ['/Users/al/Desktop/my_app/build/exe.win32-2.7']
try:
cbc_path = config.get("locations", "CbcPath")
except configparser.Error:
cbc_path = '/Users/al/Desktop/my_app/build/exe.win32-2.7'
try:
pulp_cbc_path = config.get("locations", "PulpCbcPath")
except configparser.Error:
pulp_cbc_path = '/Users/al/Desktop/my_app/build/exe.win32-2.7'
What am I missing or doing wrong?
I have tried and run this script from Rutger Kassies.
import gdal
import matplotlib.pyplot as plt
ds = gdal.Open('HDF4_SDS:sample:"A2002037045000.L2_LAC.SAMPLE.hdf":01')
data = ds.ReadAsArray()
ds = None
fig, ax = plt.subplots(figsize=(6,6))
ax.imshow(data[0,:,:], cmap=plt.cm.Greys, vmin=1000, vmax=6000)
But then an error always occured:
Traceback (most recent call last):
File "D:\path\to\python\stackoverflow.py", line 5, in <module>
data = ds.ReadAsArray()
AttributeError: 'NoneType' object has no attribute 'ReadAsArray'
What's wrong with the script? Am I missing something? In installing GDAL I have followed this instruction http://pythongisandstuff.wordpress.com/2011/07/07/installing-gdal-and-ogr-for-python-on-windows/
Am using windows 7/32 bit/Python 2.7.
Thanks!
gdal.Open() is failing and returning 'None'. This produces the sometimes counterintuitive message "NoneType' object has no attribute ...". Quoting from Python: Attribute Error - 'NoneType' object has no attribute 'something', "NoneType means that instead of an instance of whatever Class or Object you think you're working with, you've actually got None. That usually means that an assignment or function call up above failed or returned an unexpected result."
Apparently GDAL is correctly installed. It could be that the file is not readable or that there is an issue with the HDF driver. Are you getting any error message like:
`HDF4_SDS:sample:"A2002037045000.L2_LAC.SAMPLE.hdf":01' does not
exist in the file system, and is not recognised as a supported dataset
name.
To get additional information you can try something like this instead of the gdal.Open() line in your script:
gdal.UseExceptions()
ds=None
try:
ds = gdal.Open('HDF4_SDS:sample:"A2002037045000.L2_LAC.SAMPLE.hdf":01')
except RuntimeError, err:
print "Exception: ", err
exit(1)
Also, there's an extra '}' at the end of the script.
By default, osgeo.gdal returns None on error, and does not normally raise informative exceptions. You can change this with gdal.UseExceptions().
Try something like this:
from osgeo import gdal
gdal.UseExceptions()
source_path = r'HDF4_SDS:sample:"D:\path\to\file\A2002037045000.L2_LAC.SAMPLE.hdf":01'
try:
ds = gdal.Open(source_path)
except RuntimeError as ex:
raise IOError(ex)
The last bit just re-raises the exception as an IOError rather than a RuntimeException.
The solution is to modify source_path to a working path to your data source, e.g., I see
IOError: `HDF4_SDS:sample:"A2002037045000.L2_LAC.SAMPLE.hdf":01' does not exist in the file system, and is not recognised as a supported dataset name.