In Python 2.7 I am trying to calculate the position and velocity of an observatory by doing
>>> from astropy.time import Time
>>> from astropy.coordinates import SkyCoord, EarthLocation, ICRS
>>> from astropy import units as u
>>> from astropy import coordinates
>>> time=Time(58121.93, format='mjd')
>>> location=EarthLocation(53.2367, 2.3085, 100, ellipsoid = None)
>>> op, ov = location.get_gcrs_posvel(time)
But I get the error:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\p\lib\site-packages\astropy\coordinates\earth.py", line 653, in get_gcrs_posvel
gcrs_data = self._get_gcrs(obstime).data
File "C:\p\lib\site-packages\astropy\coordinates\earth.py", line 633, in _get_gcrs
return itrs.transform_to(GCRS(obstime=obstime))
File "C:\p\lib\site-packages\astropy\coordinates\baseframe.py", line 934, in transform_to
return trans(self, new_frame)
File "C:\p\lib\site-packages\astropy\coordinates\transformations.py", line 1314, in __call__
curr_coord = t(curr_coord, curr_toframe)
File "C:\p\lib\site-packages\astropy\coordinates\transformations.py", line 847, in __call__
reprwithoutdiff = supcall(from_diffless, toframe)
File "C:\p\lib\site-packages\astropy\coordinates\builtin_frames\intermediate_rotation_transforms.py", line 72, in cirs_to_gcrs
return gcrs.transform_to(gcrs_frame)
File "C:\p\lib\site-packages\astropy\coordinates\baseframe.py", line 934, in transform_to
return trans(self, new_frame)
File "C:\p\lib\site-packages\astropy\coordinates\transformations.py", line 1314, in __call__
curr_coord = t(curr_coord, curr_toframe)
File "C:\p\lib\site-packages\astropy\coordinates\transformations.py", line 914, in __call__
return supcall(fromcoord, toframe)
File "C:\p\lib\site-packages\astropy\coordinates\builtin_frames\icrs_cirs_transforms.py", line 221, in gcrs_to_gcrs
return from_coo.transform_to(ICRS).transform_to(to_frame)
File "C:\p\lib\site-packages\astropy\coordinates\baseframe.py", line 934, in transform_to
return trans(self, new_frame)
File "C:\p\lib\site-packages\astropy\coordinates\transformations.py", line 1314, in __call__
curr_coord = t(curr_coord, curr_toframe)
File "C:\p\lib\site-packages\astropy\coordinates\transformations.py", line 914, in __call__
return supcall(fromcoord, toframe)
File "C:\p\lib\site-packages\astropy\coordinates\builtin_frames\icrs_cirs_transforms.py", line 188, in gcrs_to_icrs
i_ra, i_dec = aticq(gcrs_ra, gcrs_dec, astrom)
File "C:\p\lib\site-packages\astropy\coordinates\builtin_frames\utils.py", line 196, in aticq
before = norm(ppr-d)
File "C:\p\lib\site-packages\astropy\coordinates\builtin_frames\utils.py", line 125, in norm
return p/np.sqrt(np.einsum('...i,...i', p, p))[..., np.newaxis]
File "C:\p\lib\site-packages\numpy\core\einsumfunc.py", line 1087, in einsum
einsum_call=True)
File "C:\p\lib\site-packages\numpy\core\einsumfunc.py", line 688, in einsum_path
input_subscripts, output_subscript, operands = _parse_einsum_input(operands)
File "C:\p\lib\site-packages\numpy\core\einsumfunc.py", line 432, in _parse_einsum_input
raise TypeError("For this input type lists must contain "
TypeError: For this input type lists must contain either int or Ellipsis
I searched for this issue on Astropy's issue tracker and came across this:
numpy TypeError on coordinate transform (TypeError: For this input type lists must contain either int or Ellipsis)
It was fixed as of Astropy v2.0.4, so, pretty recent. You should be able to upgrade your Astropy.
Related
The following code
If I run the following code in pdb (i.e. with python -m pdb)
if __name__=='__main__':
import pandas as pd
df=pd.DataFrame([[0,1,2],[63,146, 135]])
df.plot.area()
it fails with a TypeError inside a numpy routine that's called by matplotlib:
> python -m pdb test_dtype.py
> /home/jhaiduce/financial/forecasting/test_dtype.py(1)<module>()
-> if __name__=='__main__':
(Pdb) r
QSocketNotifier: Can only be used with threads started with QThread
--Return--
> /home/jhaiduce/financial/forecasting/test_dtype.py(6)<module>()->None
-> df.plot.area()
(Pdb) c
Traceback (most recent call last):
File "/usr/lib64/python3.10/site-packages/numpy/core/getlimits.py", line 384, in __new__
dtype = numeric.dtype(dtype)
TypeError: 'NoneType' object is not callable
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib64/python3.10/pdb.py", line 1726, in main
pdb._runscript(mainpyfile)
File "/usr/lib64/python3.10/pdb.py", line 1586, in _runscript
self.run(statement)
File "/usr/lib64/python3.10/bdb.py", line 597, in run
exec(cmd, globals, locals)
File "<string>", line 1, in <module>
File "/home/jhaiduce/financial/forecasting/test_dtype.py", line 6, in <module>
df.plot.area()
File "/usr/lib64/python3.10/site-packages/pandas/plotting/_core.py", line 1496, in area
return self(kind="area", x=x, y=y, **kwargs)
File "/usr/lib64/python3.10/site-packages/pandas/plotting/_core.py", line 972, in __call__
return plot_backend.plot(data, kind=kind, **kwargs)
File "/usr/lib64/python3.10/site-packages/pandas/plotting/_matplotlib/__init__.py", line 71, in plot
plot_obj.generate()
File "/usr/lib64/python3.10/site-packages/pandas/plotting/_matplotlib/core.py", line 294, in generate
self._post_plot_logic_common(ax, self.data)
File "/usr/lib64/python3.10/site-packages/pandas/plotting/_matplotlib/core.py", line 473, in _post_plot_logic_common
self._apply_axis_properties(ax.xaxis, rot=self.rot, fontsize=self.fontsize)
File "/usr/lib64/python3.10/site-packages/pandas/plotting/_matplotlib/core.py", line 561, in _apply_axis_properties
labels = axis.get_majorticklabels() + axis.get_minorticklabels()
File "/usr/lib64/python3.10/site-packages/matplotlib/axis.py", line 1201, in get_majorticklabels
ticks = self.get_major_ticks()
File "/usr/lib64/python3.10/site-packages/matplotlib/axis.py", line 1371, in get_major_ticks
numticks = len(self.get_majorticklocs())
File "/usr/lib64/python3.10/site-packages/matplotlib/axis.py", line 1277, in get_majorticklocs
return self.major.locator()
File "/usr/lib64/python3.10/site-packages/matplotlib/ticker.py", line 2113, in __call__
vmin, vmax = self.axis.get_view_interval()
File "/usr/lib64/python3.10/site-packages/matplotlib/axis.py", line 1987, in getter
return getattr(getattr(self.axes, lim_name), attr_name)
File "/usr/lib64/python3.10/site-packages/matplotlib/axes/_base.py", line 781, in viewLim
self._unstale_viewLim()
File "/usr/lib64/python3.10/site-packages/matplotlib/axes/_base.py", line 776, in _unstale_viewLim
self.autoscale_view(**{f"scale{name}": scale
File "/usr/lib64/python3.10/site-packages/matplotlib/axes/_base.py", line 2932, in autoscale_view
handle_single_axis(
File "/usr/lib64/python3.10/site-packages/matplotlib/axes/_base.py", line 2895, in handle_single_axis
x0, x1 = locator.nonsingular(x0, x1)
File "/usr/lib64/python3.10/site-packages/matplotlib/ticker.py", line 1654, in nonsingular
return mtransforms.nonsingular(v0, v1, expander=.05)
File "/usr/lib64/python3.10/site-packages/matplotlib/transforms.py", line 2880, in nonsingular
if maxabsvalue < (1e6 / tiny) * np.finfo(float).tiny:
File "/usr/lib64/python3.10/site-packages/numpy/core/getlimits.py", line 387, in __new__
dtype = numeric.dtype(type(dtype))
TypeError: 'NoneType' object is not callable
Uncaught exception. Entering post mortem debugging
Running 'cont' or 'step' will restart the program
> /usr/lib64/python3.10/site-packages/numpy/core/getlimits.py(387)__new__()
-> dtype = numeric.dtype(type(dtype))
(Pdb)
The error occurs only when run in the debugger; the program runs as normal when run outside the debugger.
Any idea what could be the cause of this?
I'm using python image_match library. I need to use search_image method of this library. but when I se this method I got the below error:
Traceback (most recent call last):
File "/var/www/html/Panel/test2.py", line 16, in <module>
ses.search_image('https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa,_by_Leonardo_da_Vinci,_from_C2RMF_retouched.jpg/687px-Mona_Lisa,_by_Leonardo_da_Vinci,_from_C2RMF_retouched.jpg')
File "/usr/local/lib/python3.10/site-packages/image_match/signature_database_base.py", line 268, in search_image
transformed_record = make_record(img, self.gis, self.k, self.N)
File "/usr/local/lib/python3.10/site-packages/image_match/signature_database_base.py", line 356, in make_record
signature = gis.generate_signature(path)
File "/usr/local/lib/python3.10/site-packages/image_match/goldberg.py", line 161, in generate_signature
im_array = self.preprocess_image(path_or_image, handle_mpo=self.handle_mpo, bytestream=bytestream)
File "/usr/local/lib/python3.10/site-packages/image_match/goldberg.py", line 257, in preprocess_image
return rgb2gray(image_or_path)
File "/usr/local/lib/python3.10/site-packages/skimage/_shared/utils.py", line 394, in fixed_func
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/skimage/color/colorconv.py", line 875, in rgb2gray
rgb = _prepare_colorarray(rgb)
File "/usr/local/lib/python3.10/site-packages/skimage/color/colorconv.py", line 140, in _prepare_colorarray
raise ValueError(msg)
ValueError: the input array must have size 3 along `channel_axis`, got (1024, 687)
Can you please help me?
When I execute the following statement:
spark.sql("SELECT CAST('0001-01-01' AS TIMESTAMP)").show()
I get:
CAST(0001-01-01 AS TIMESTAMP)
0001-01-01 00:00:00
but when I use spark.sql("SELECT CAST('0001-01-01' AS TIMESTAMP)").collect() I get the following error:
Fail to execute line 1: spark.sql("SELECT CAST('0001-01-01' AS TIMESTAMP)").collect()
Traceback (most recent call last):
File "/tmp/zeppelin_pyspark-6127737743421449115.py", line 380, in <module>
exec(code, _zcUserQueryNameSpace)
File "<stdin>", line 1, in <module>
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 535, in collect
return list(_load_from_socket(sock_info, BatchedSerializer(PickleSerializer())))
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 147, in load_stream
yield self._read_with_length(stream)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 172, in _read_with_length
return self.loads(obj)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/serializers.py", line 580, in loads
return pickle.loads(obj, encoding=encoding)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 1396, in <lambda>
return lambda *a: dataType.fromInternal(a)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 633, in fromInternal
for f, v, c in zip(self.fields, obj, self._needConversion)]
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 633, in <listcomp>
for f, v, c in zip(self.fields, obj, self._needConversion)]
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 445, in fromInternal
return self.dataType.fromInternal(obj)
File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 199, in fromInternal
return datetime.datetime.fromtimestamp(ts // 1000000).replace(microsecond=ts % 1000000)
ValueError: year 0 is out of range
In your timezone, 0001-01-01 would be treated as 0000-12-31 and the year value with 0 is invalid for the internal function ymd_to_ord() in the datetime package. See the reference
This is not happening in the scala version of spark.
I am trying to send raw transaction by web3py using this code:
t = w3.eth.account.sign_transaction(test_contract.functions.edit("test").buildTransaction(
{
"nonce": w3.eth.get_transaction_count(w3.eth.default_account)
}
), pkey)
w3.eth.send_raw_transaction(t)
But, where python comes to the last line, I have this error in console:
Traceback (most recent call last):
File "***/main.py", line 64, in <module>
w3.eth.send_raw_transaction(t)
File "***/venv/lib/python3.9/site-packages/web3/module.py", line 53, in caller
(method_str, params), response_formatters = method.process_params(module, *args, **kwargs) # noqa: E501
File "***/venv/lib/python3.9/site-packages/web3/method.py", line 194, in process_params
_apply_request_formatters(params, self.request_formatters(method)))
File "***/venv/lib/python3.9/site-packages/eth_utils/functional.py", line 45, in inner
return callback(fn(*args, **kwargs))
File "***/venv/lib/python3.9/site-packages/web3/method.py", line 50, in _apply_request_formatters
formatted_params = pipe(params, request_formatters)
File "cytoolz/functoolz.pyx", line 667, in cytoolz.functoolz.pipe
File "cytoolz/functoolz.pyx", line 642, in cytoolz.functoolz.c_pipe
File "cytoolz/functoolz.pyx", line 254, in cytoolz.functoolz.curry.__call__
File "cytoolz/functoolz.pyx", line 250, in cytoolz.functoolz.curry.__call__
File "***/venv/lib/python3.9/site-packages/web3/_utils/abi.py", line 799, in map_abi_data
return pipe(data, *pipeline)
File "cytoolz/functoolz.pyx", line 667, in cytoolz.functoolz.pipe
File "cytoolz/functoolz.pyx", line 642, in cytoolz.functoolz.c_pipe
File "cytoolz/functoolz.pyx", line 254, in cytoolz.functoolz.curry.__call__
File "cytoolz/functoolz.pyx", line 250, in cytoolz.functoolz.curry.__call__
File "***/venv/lib/python3.9/site-packages/web3/_utils/abi.py", line 833, in data_tree_map
return recursive_map(map_to_typed_data, data_tree)
File "***/venv/lib/python3.9/site-packages/web3/_utils/decorators.py", line 30, in wrapped
wrapped_val = to_wrap(*args)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 89, in recursive_map
items_mapped = map_collection(recurse, data)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 76, in map_collection
return datatype(map(func, collection))
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 88, in recurse
return recursive_map(func, item)
File "***/venv/lib/python3.9/site-packages/web3/_utils/decorators.py", line 30, in wrapped
wrapped_val = to_wrap(*args)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 89, in recursive_map
items_mapped = map_collection(recurse, data)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 76, in map_collection
return datatype(map(func, collection))
File "***/venv/lib/python3.9/site-packages/web3/_utils/abi.py", line 855, in __new__
return super().__new__(cls, *iterable)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 88, in recurse
return recursive_map(func, item)
File "***/venv/lib/python3.9/site-packages/web3/_utils/decorators.py", line 30, in wrapped
wrapped_val = to_wrap(*args)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 89, in recursive_map
items_mapped = map_collection(recurse, data)
File "***/venv/lib/python3.9/site-packages/web3/_utils/formatters.py", line 76, in map_collection
return datatype(map(func, collection))
TypeError: <lambda>() missing 4 required positional arguments: 'hash', 'r', 's', and 'v'
I am using infura custom node, that's why I cant send transaction by contract.functions.method.transact(). Don't know to do with this error, spent a lot of time reading docs and got nothing.
How can I fix that?
sign_transaction returns SignedTransaction object while send_raw_transaction accepts raw transaction bytes. So change your last line to:
w3.eth.send_raw_transaction(t.rawTransaction)
You also probably want to save the result to a variable to track the transaction later.
You need to sign the transaction before sending with your account that has ETH balance.
You need to use Signing middleware.
>>> from web3 import Web3, EthereumTesterProvider
>>> w3 = Web3(EthereumTesterProvider)
>>> from web3.middleware import construct_sign_and_send_raw_middleware
>>> from eth_account import Account
>>> acct = Account.create('KEYSMASH FJAFJKLDSKF7JKFDJ 1530')
>>> w3.middleware_onion.add(construct_sign_and_send_raw_middleware(acct))
>>> w3.eth.default_account = acct.address
# Now you can send a tx from acct.address without having to build and sign each raw transaction
There is only one categorical column and I want to encode it, it is working fine on notebook but when it is being uploaded to aicrowd platform it is creating this trouble.
There are totally 3 categorical features where one is the target feature, one is the row of ids and after excluding them for the training I am left with one feature.
df[['intersection_pos_rel_centre']]
from sklearn.preprocessing import LabelEncoder
le=LabelEncoder()
df[['intersection_pos_rel_centre']]=le.fit_transform(df[['intersection_pos_rel_centre']])
df[['intersection_pos_rel_centre']]
My error is
Selecting runtime language: python
[NbConvertApp] Converting notebook predict.ipynb to notebook
[NbConvertApp] Executing notebook with kernel: python
Traceback (most recent call last):
File "/opt/conda/bin/jupyter-nbconvert", line 11, in <module>
sys.exit(main())
File "/opt/conda/lib/python3.8/site-packages/jupyter_core/application.py", line 254, in launch_instance
return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
File "/opt/conda/lib/python3.8/site-packages/traitlets/config/application.py", line 845, in launch_instance
app.start()
File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 350, in start
self.convert_notebooks()
File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 524, in convert_notebooks
self.convert_single_notebook(notebook_filename)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 489, in convert_single_notebook
output, resources = self.export_single_notebook(notebook_filename, resources, input_buffer=input_buffer)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/nbconvertapp.py", line 418, in export_single_notebook
output, resources = self.exporter.from_filename(notebook_filename, resources=resources)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 181, in from_filename
return self.from_file(f, resources=resources, **kw)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 199, in from_file
return self.from_notebook_node(nbformat.read(file_stream, as_version=4), resources=resources, **kw)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/notebook.py", line 32, in from_notebook_node
nb_copy, resources = super().from_notebook_node(nb, resources, **kw)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 143, in from_notebook_node
nb_copy, resources = self._preprocess(nb_copy, resources)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/exporters/exporter.py", line 318, in _preprocess
nbc, resc = preprocessor(nbc, resc)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/base.py", line 47, in __call__
return self.preprocess(nb, resources)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 79, in preprocess
self.execute()
File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
return just_run(coro(*args, **kwargs))
File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
return loop.run_until_complete(coro)
File "/opt/conda/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
return future.result()
File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 553, in async_execute
await self.async_execute_cell(
File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 123, in async_execute_cell
cell, resources = self.preprocess_cell(cell, self.resources, cell_index)
File "/opt/conda/lib/python3.8/site-packages/nbconvert/preprocessors/execute.py", line 146, in preprocess_cell
cell = run_sync(NotebookClient.async_execute_cell)(self, cell, index, store_history=self.store_history)
File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
return just_run(coro(*args, **kwargs))
File "/opt/conda/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
return loop.run_until_complete(coro)
File "/opt/conda/lib/python3.8/site-packages/nest_asyncio.py", line 98, in run_until_complete
return f.result()
File "/opt/conda/lib/python3.8/asyncio/futures.py", line 178, in result
raise self._exception
File "/opt/conda/lib/python3.8/asyncio/tasks.py", line 280, in __step
result = coro.send(None)
File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 852, in async_execute_cell
self._check_raise_for_error(cell, exec_reply)
File "/opt/conda/lib/python3.8/site-packages/nbclient/client.py", line 760, in _check_raise_for_error
raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content)
nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
------------------
df[['intersection_pos_rel_centre']]
from sklearn.preprocessing import LabelEncoder
le=LabelEncoder()
df[['intersection_pos_rel_centre']]=le.fit_transform(df[['intersection_pos_rel_centre']])
df[['intersection_pos_rel_centre']]
------------------
TypeError: argument must be a string or number