I have uploaded a large csv into python using the following code:
ddgqa = pd.read_table("/Users/xxxx/Documents/globalqa-pageurls-Report.csv", chunksize= 10**6, iterator=True)
I am now extract a column into a dataframe using this code:
for chunk in ddgqa:
links_adobe_ddgqa = pd.DataFrame(ddga['Page URL'])
When I try to links_adobe_ddgqa
I get the following error:
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
<ipython-input-95-1ab6eaf23d5f> in <module>()
----> 1 links_adobe_ddgqa
NameError: name 'links_adobe_ddgqa' is not defined
What am I missing? Is there a better way to accomplish this?
Related
I'm new in python and i'm getting this error while trying to run my code
KeyError Traceback (most recent call last)
<ipython-input-201-74e7a7ea82f3> in <module>
----> 1 SEARCH['profession']['call'].format('Jhon',23)
KeyError: '"sea'
This is my code, I am trying to use the format in a string that simulates a dictionary
SEARCH = {
'profession' : {"call":'{"sea:searchProfession":{"datasheet": {"name":{},"age": {}}}}'},
'id' : {"call":'{"sea:searchId":{"personId": {"id":{},"name": {},"age":"{}"}}}'},
}
SEARCH['profession']['call'].format('Jhon',23)
I know there are similar issues, but I have not found the solution
According to https://pytorch.org/docs/stable/mobile_optimizer.html (currently for 1.6.0)
Torch mobile supports torch.mobile_optimizer.optimize_for_mobile utility to run a list of optimization pass with modules in eval mode. The method takes the following parameters: a torch.jit.ScriptModule object, a blacklisting optimization set and a preserved method list
The page title and
torch.utils.mobile_optimizer.optimize_for_mobile(script_module, optimization_blacklist: Set[torch._C.MobileOptimizerType] = None)
at the end suggest it should be torch.utils.mobile_optimizer instead. However, neither work for me:
In [25]: module1 = torch.utils.mobile_optimizer.optimize_for_mobile(module)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-25-79e42fe53cdf> in <module>
----> 1 module1 = torch.utils.mobile_optimizer.optimize_for_mobile(module)
AttributeError: module 'torch.utils' has no attribute 'mobile_optimizer'
In [26]: module1 = torch.mobile_optimizer.optimize_for_mobile(module)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-26-469dd450df3d> in <module>
----> 1 module1 = torch.mobile_optimizer.optimize_for_mobile(module)
AttributeError: module 'torch' has no attribute 'mobile_optimizer'
In [27]: print(torch.__version__)
1.6.0
Am I missing anything? E.g. do I have to install some package other than torch itself?
import torch.utils.mobile_optimizer as mobile_optimizer
scripted_model = torch.jit.script(model, pt_inputs)
opt_model = mobile_optimizer.optimize_for_mobile(scripted_model)
torch.jit.save(opt_model, "model.pt")
It works for me
so I created a book class and added its instances to a list that I'm trying to pickle but I'm getting a strange error. Help appreciated!
with open("book_data/books.pkl", "wb") as f:
pickle.dump(book_list, f)
Output:
PicklingError Traceback (most recent call last)
<ipython-input-24-45ad0cec62df> in <module>
1 with open("book_data/books.pkl", "wb") as f:
2
----> 3 pickle.dump(book_list, f)
PicklingError: Can't pickle <class '__main__.book'>: it's not the same object as __main__.book
guys i am new in python and for some reason the word global not working for me
ex
def location():
global place
place = "Cape Town"
return
and when i am trying to print place
print(place)
i am facing that error
NameError Traceback (most recent call last)
<ipython-input-2-34a3a4594339> in <module>()
----> 1 print(place)
NameError: name 'place' is not defined
I am trying to run this code in jupyter notebook but I am getting the following error for fuzzyset package. I am using fuzzyset version 0.0.9. Does anybody know how to convert these dictionary values to list?
agrovocSimple = []
with open('agrovocLabels.json') as data_file:
agrovoc = json.load(data_file)
results = agrovoc["results"]["bindings"]
for entry in results:
uri = entry["uri"]["value"]
label = entry["label"]["value"]
#agrovocSimple.append({"uri": uri , "name": label})
agrovocSimple.append(label)
####instatiation of the fuzzyset for the mappings
# allocate the FuzzySet object
a=FuzzySet()
for e in agrovocSimple:
a.add(e)
####TypeError Traceback (most recent call last)
<ipython-input-19-bc4871be0e65> in <module>()
17 a=FuzzySet()
18 for e in agrovocSimple:
---> 19 a.add(e)
fuzzyset\cfuzzyset.pyx in cfuzzyset.cFuzzySet.add()
fuzzyset\cfuzzyset.pyx in cfuzzyset.cFuzzySet._add()
TypeError: Expected list, got dict_values