I need to understand the error i have view all the shapes of R and df1 respectively (2265, 2),(4616, 6) as described in the error traceback the error comes from the test pert in the loop for which is not understood. i restarted calculating the values of actions according to R from 2265
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-2-62513555e96b> in <module>()
140 print(R.shape)
141
--> 142 main()
143
144
<ipython-input-2-62513555e96b> in main()
131 #test
132 for i in range (2265,4615,1):
--> 133 if(R[i-1,0]>R[i-1,1]):
134 action[i]=1
135 else:
IndexError: too many indices for array
all works well in the first part below:
#test
for i in range (2265,4615,1):
if(R[i-1,0]>R[i-1,1]):
action[i]=1
else:
action[i]=0
N = number_update(action,2265,4615)
RHO = Rhoo(action,2265,4615)
R = reward_max(action,2265,4615)
print(R.shape)
main()
Related
I am trying to run
mclp = mclp.solve(GLPK(msg=False))
However, when I do it returns the error:
--------------------------------------------------------------------------- PulpSolverError Traceback (most recent call
last)
C:\Users\J84538~1\AppData\Local\Temp\1/ipykernel_23424/53669721.py in
----> 1 mclp = mclp.solve(GLPK(msg=False))
~\Anaconda3\lib\site-packages\spopt\locate\coverage.py in solve(self,
solver)
579 MCLP object
580 """
--> 581 self.problem.solve(solver)
582 return self
~\Anaconda3\lib\site-packages\pulp\pulp.py in solve(self, solver,
**kwargs) 1888 #time it 1889 self.solutionTime = -clock()
-> 1890 status = solver.actualSolve(self, **kwargs) 1891 self.solutionTime += clock() 1892
self.restoreObjective(wasNone, dummyVar)
~\Anaconda3\lib\site-packages\pulp\apis\glpk_api.py in
actualSolve(self, lp)
57 """Solve a well formulated lp problem"""
58 if not self.executable(self.path):
---> 59 raise PulpSolverError("PuLP: cannot execute "+self.path)
60 tmpLp, tmpSol = self.create_tmp_files(lp.name, 'lp', 'sol')
61 lp.writeLP(tmpLp, writeSOS = 0)
PulpSolverError: PuLP: cannot execute glpsol.exe
I honestly dont know where to even begin with solving this so any help is appreciated.
I have a file of the type:
A B 0.123
A C 0.84
B D 0.52
...
Where the data are tab separated, and the first and second columns are the nodes, and the third is the associated edge weight.
When trying to import this file into cytoscape using py2cytoscape, I'm receiving an error:
from py2cytoscape import cyrest
fileName="/Users/96v/Documents/lco/lcoAllAt25/lcoAll25/lcoAll25_top0.041pct_data/lcoAll25_top0.041pct.txt"
cyclient = cyrest.cyclient()
cyclient.network.import_file(dataTypeList='string,string,double',
afile=fileName,
delimiters='\t',
indexColumnSourceInteraction="0",
indexColumnTargetInteraction="1",
verbose=True)
'http://localhost:1234/v1/commands/network/import file'
TypeError Traceback (most recent call last)
in
----> 1 cyclient.network.import_file(dataTypeList='string,string,double', afile=fileName, delimiters='\t', indexColumnSourceInteraction="0", indexColumnTargetInteraction="1", defaultInteraction="Edge Attribute",verbose=True)
2
~/opt/anaconda3/lib/python3.8/site-packages/py2cytoscape/cyrest/network.py in import_file(self, dataTypeList, defaultInteraction, delimiters, delimitersForDataList, afile, firstRowAsColumnNames, indexColumnSourceInteraction, indexColumnTargetInteraction, indexColumnTypeInteraction, NetworkViewRendererList, RootNetworkList, startLoadRow, TargetColumnList, verbose)
464 afile,firstRowAsColumnNames,indexColumnSourceInteraction,indexColumnTargetInteraction,
465 indexColumnTypeInteraction,NetworkViewRendererList,RootNetworkList,startLoadRow,TargetColumnList])
--> 466 response=api(url=self.__url+"/import file", PARAMS=PARAMS, method="POST", verbose=verbose)
467 return response
468
~/opt/anaconda3/lib/python3.8/site-packages/py2cytoscape/cyrest/base.py in api(namespace, command, PARAMS, body, host, port, version, method, verbose, url, parse_params)
139 sys.stdout.flush()
140 r = requests.post(url = baseurl, json = PARAMS)
--> 141 verbose_=checkresponse(r, verbose=verbose)
142 if (verbose) or (verbose_):
143 verbose=True
~/opt/anaconda3/lib/python3.8/site-packages/py2cytoscape/cyrest/base.py in checkresponse(r, verbose)
43 if 200 <= status < 300:
44 if verbose:
---> 45 print("response status "+status)
46 sys.stdout.flush()
47 res=None
TypeError: can only concatenate str (not "int") to str
The edge weights aren't being recognized, yet the documentation isn't as verbose for this function.
Any help would be extremely appreciated!
After looking further at the GUI, I realized:
Columns are not 0 indexed.
Verbose has an error in it.
The below code works fine:
from py2cytoscape import cyrest
fileName="pathToFile"
cyclient = cyrest.cyclient()
collection = cyclient.network.import_file(dataTypeList='string,string,double',
afile=fileName,
delimiters='\t',
indexColumnSourceInteraction="1",
indexColumnTargetInteraction="2",
defaultInteraction="interacts with")
How do I pass the output of this prompt to a pandas search by date in excel?
import pandas as pd
TestedDateBegin = pd.to_datetime(input('Input date in mm-dd-yyyy format: '))
For example, if I input 2019-09-08 into above input prompt and run TestedDateBegin I get this output:
Timestamp('2019-09-08 00:00:00')
This search with the date hard coded works fine.
data = df.loc[df['emr_first_access_date'] >= '2019-09-08', ['site_name','subs_num','emr_id', ```'emr_first_access_date']]
But how do I pass the date inputted from the prompt so the user can search by any date?
This doesnt work:
data = df.loc[df['emr_first_access_date'] >= 'TestedDateBegin', ['site_name','subs_num','emr_id',
and throws a exception:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_str_to_tsobject()
pandas/_libs/tslibs/np_datetime.pyx in pandas._libs.tslibs.np_datetime._string_to_dts()
ValueError: Error parsing datetime string "TestedDateBegin" at position 0
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_str_to_tsobject()
pandas/_libs/tslibs/parsing.pyx in pandas._libs.tslibs.parsing.parse_datetime_string()
~\AppData\Local\Continuum\anaconda3\lib\site-packages\dateutil\parser\_parser.py in parse(timestr, parserinfo, **kwargs)
1357 else:
-> 1358 return DEFAULTPARSER.parse(timestr, **kwargs)
1359
~\AppData\Local\Continuum\anaconda3\lib\site-packages\dateutil\parser\_parser.py in parse(self, timestr, default, ignoretz, tzinfos, **kwargs)
648 if res is None:
--> 649 raise ValueError("Unknown string format:", timestr)
650
ValueError: ('Unknown string format:', 'TestedDateBegin')
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\arrays\datetimes.py in wrapper(self, other)
144 try:
--> 145 other = _to_M8(other, tz=self.tz)
146 except ValueError:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\arrays\datetimes.py in _to_M8(key, tz)
77 # this also converts strings
---> 78 key = Timestamp(key)
79 if key.tzinfo is not None and tz is not None:
pandas/_libs/tslibs/timestamps.pyx in pandas._libs.tslibs.timestamps.Timestamp.__new__()
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_to_tsobject()
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_str_to_tsobject()
ValueError: could not convert string to Timestamp
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-2-702fd23c14bb> in <module>
----> 1 data = df.loc[df['emr_first_access_date'] >= 'TestedDateBegin', ['site_name','subs_num','emr_id', 'emr_first_access_date']]
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in wrapper(self, other, axis)
1714
1715 res_values = dispatch_to_index_op(op, self, other,
-> 1716 pd.DatetimeIndex)
1717
1718 return self._constructor(res_values, index=self.index,
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in dispatch_to_index_op(op, left, right, index_class)
1189 left_idx = left_idx._shallow_copy(freq=None)
1190 try:
-> 1191 result = op(left_idx, right)
1192 except NullFrequencyError:
1193 # DatetimeIndex and TimedeltaIndex with freq == None raise ValueError
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\indexes\datetimelike.py in wrapper(self, other)
115 other = other._values
116
--> 117 result = op(self._data, maybe_unwrap_index(other))
118 return result
119
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\arrays\datetimes.py in wrapper(self, other)
146 except ValueError:
147 # string that cannot be parsed to Timestamp
--> 148 return ops.invalid_comparison(self, other, op)
149
150 result = op(self.asi8, other.view('i8'))
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in invalid_comparison(left, right, op)
1056 else:
1057 raise TypeError("Invalid comparison between dtype={dtype} and {typ}"
-> 1058 .format(dtype=left.dtype, typ=type(right).__name__))
1059 return res_values
1060
TypeError: Invalid comparison between dtype=datetime64[ns] and str
The error
TypeError: Invalid comparison between dtype=datetime64[ns] and str
tells that you try to compare datetime with string. To do it convert your string to datetime manually. In your case try:
from datetime import datetime
date = '2019-09-08'
date = datetime.strptime(date, '%Y-%m-%d')
To learn more information about date formatting see documentation
I want to modify some functions in "torch.nn.functional", and then I use "importlib.reload" to reload the new "torch.nn.functional".But I encounter a Runtime error:function 'avg_pool2d' already has a docstring.
I am trying to do some work on excitationbp(https://github.com/greydanus/excitationbp), and there is a operation named "eb.use_eb()" to modify "torch.nn.functional". The functiona eb.use_eb() is for modifying the "torch.nn.linear","torch.nn.functional.conv1d" and so on.I try to modify the code including many eb.use_eb() in the utils.py.When I want to run the original "torch.nn.linear",I must run the eb.use_eb(False).But the module has loaded in the head of the file(import torch.nn.funtional). So I want to reload the module "torch.nn.funtional".
When I use the "importlib.reload", I encounter a error.
eb.use_eb(False,True)
importlib.reload(torch)
importlib.reload(torch.nn)
importlib.reload(torch.nn.functional)
print("gradient_evidence:"+str(gradient_evidence))
return torch.autograd.grad(contr_h_, target_h_, grad_outputs=gradient_evidence)[0]
RuntimeError Traceback (most recent call last)
ipython-input-15-29d0fca29882 in module()
----> 1 prob_inputs_one = eb.excitation_backprop(model, inputs, prob_outputs_one, contrastive=2)
2 #pdb.set_trace()
3 prob_inputs_true = eb.excitation_backprop(model, inputs, prob_outputs_true, contrastive=2)
~/code/excitationbp/excitationbp-master/excitationbp/utils.py in excitation_backprop(model, inputs, prob_outputs, contrastive, target_layer)
75 importlib.reload(torch)
76 importlib.reload(torch.nn)
---> 77 importlib.reload(torch.nn.functional)
78
79 gradient_evidence = torch.autograd.grad(top_h_, contr_h_, grad_outputs=prob_outputs.clone())[0]
~/anaconda3/envs/pytorch0.3/lib/python3.6/importlib/__init__.py in reload(module)
164 target = module
165 spec = module.__spec__ = _bootstrap._find_spec(name, pkgpath, target)
--> 166 _bootstrap._exec(spec, module)
167 # The module may have replaced itself in sys.modules!
168 return sys.modules[name]
~/anaconda3/envs/pytorch0.3/lib/python3.6/importlib/_bootstrap.py in _exec(spec, module)
~/anaconda3/envs/pytorch0.3/lib/python3.6/importlib/_bootstrap_external.py in exec_module(self, module)
~/anaconda3/envs/pytorch0.3/lib/python3.6/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds)
~/anaconda3/envs/pytorch0.3/lib/python3.6/site-packages/torch/nn/functional.py in <module>()
286 count_include_pad: when True, will include the zero-padding in th
287 averaging calculation. Default: ``True``
--> 288 """)
289
290 avg_pool3d = _add_docstr(torch._C._nn.avg_pool3d, r"""
RuntimeError: function 'avg_pool2d' already has a docstring
I am making a series using three dictionaries, in dictionary, there is no keyword or values "name"/ "null".but it is showing NameError: name 'null' is not defined
rerun the code in different jupyter notebook
import pandas as pd
p1=pd.Series({'team':'england','keyplayer':'joe root','bowler':'jofra'})
p2=pd.Series({'team':'india','keyplayer':'virat kohli','bowler':'bumhra'})
p3=pd.Series({'team':'australia','keyplayer':'steve smith','bowler':'starc'})
df=pd.DataFrame([p1,p2,p3],index=['1','2','3'])
df.head()
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
700 type_pprinters=self.type_printers,
701 deferred_pprinters=self.deferred_printers)
--> 702 printer.pretty(obj)
703 printer.flush()
704 return stream.getvalue()
~\Anaconda3\lib\site-packages\IPython\lib\pretty.py in pretty(self, obj)
400 if cls is not object \
401 and callable(cls.__dict__.get('__repr__')):
--> 402 return _repr_pprint(obj, self, cycle)
403
404 return _default_pprint(obj, self, cycle)
~\Anaconda3\lib\site-packages\IPython\lib\pretty.py in _repr_pprint(obj, p, cycle)
695 """A pprint that just redirects to the normal repr function."""
696 # Find newlines and replace them with p.break_()
--> 697 output = repr(obj)
698 for idx,output_line in enumerate(output.splitlines()):
699 if idx:
~\Anaconda3\lib\site-packages\pandas\core\base.py in __repr__(self)
80 Yields Bytestring in Py2, Unicode String in py3.
81 """
---> 82 return str(self)
83
84
~\Anaconda3\lib\site-packages\pandas\core\base.py in __str__(self)
59
60 if compat.PY3:
---> 61 return self.__unicode__()
62 return self.__bytes__()
63
~\Anaconda3\lib\site-packages\pandas\core\frame.py in __unicode__(self)
661 width = None
662 self.to_string(buf=buf, max_rows=max_rows, max_cols=max_cols,
--> 663 line_width=width, show_dimensions=show_dimensions)
664
665 return buf.getvalue()
NameError: name 'null' is not defined
----------------after this table is showing
I tried to run your code in an isolated environment and I managed!
IPython:
In [1]: import pandas as pd
In [2]: p1=pd.Series({'team':'england','keyplayer':'joe root','bowler':'jofra'})
: p2=pd.Series({'team':'india','keyplayer':'virat kohli','bowler':'bumhra'})
: p3=pd.Series({'team':'australia','keyplayer':'steve smith','bowler':'starc'})
: df=pd.DataFrame([p1,p2,p3],index=['1','2','3'])
In [3]: df.head()
Out[3]:
team keyplayer bowler
1 england joe root jofra
2 india virat kohli bumhra
3 australia steve smith starc
I installed the minimum required to run: numpy==1.16.4, pandas==0.24.2 e jupyter==1.0.0
Maybe there is some problem with your libs.
I recommend you try to run your code using virtualenv and install the required libraries.
To learn more, nothing better than the Python documentation itself: https://docs.python.org/3/tutorial/venv.html