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#twitter
from ckonlpy.tag import Twitter
twitter = Twitter()
print(journal['cleaned_text'][0])
print("="*30)
print(twitter.pos(journal['cleaned_text'][0],count('word')))
Traceback (most recent call last)
C:\Users\Public\Documents\ESTsoft\CreatorTemp\ipykernel_9264\3010786454.py in <module>
1 print(journal['cleaned_text'][0])
2 print("="*30)
----> 3 print(twitter.pos(journal['cleaned_text'][0],count('word')))
NameError: name 'count' is not defined
How can I fix this error?
Code that I worked on in another window before.
However, the following error code occurs when working in a new window.`
You need to replace the "," inside of the print for a "." for it to work.
Like this: print(twitter.pos(journal['cleaned_text'][0].count('word')))
Here is the doc for the count method. Hope this helps!
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i have soup response text with multiple group and sub groups.
i want to get automatic all groups and their values .
how can i do it ?
In the end, I want to get the title and the value for each group. The best thing for me is for each group to have its values separately.
OrderedDict([('#id',
'boic'),
('mc:id',
'boic'),
('mc:ocb-conditions',
OrderedDict([('mc:rule-deactivated',
'true'),
('mc:international',
'true')])),
('mc:cb-actions',
OrderedDict([('mc:allow',
'false')]))])
My goal is to get to a state where I get the following output:
'#id','boic'
'mc:id','boic'
'mc:ocb-conditions'
'mc:rule-deactivated','true'
'mc:international', 'true'
'mc:cb-actions'
'mc:allow','false'
i try to use
' '.join(BeautifulSoup(soup_response, "html.parser").findAll(text=True))
and got all values But I'm missing the titles of the values.
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How do i save my csv into json , where column ="questions"
Particularly in this format
[
"What is dewa?" , "what is regulations?" ,"What is the fire rating for building having more than 2 basements?"
]
Right now I am getting my json is in this format
{"Question":{"0":"what is dewa?","1":"what is regulations?","2":"What is the fire rating for building having more than 2 basements?"}}
Code , for csv too json
import pandas as pd
read_csv = pd.read_csv(r'C:\Users\heba.fatima\Desktop\final-fire/answers.csv') # or delimiter = ';'
read_csv=read_csv[["Question"]]
read_csv.head()
read_csv.to_json (r'C:\Users\heba.fatima\Desktop\flaskapi\data\answers.json')
You can use orient argument for to_json:
read_csv['Question'].to_json(orient='values')
output:
["what is dewa?", "what is regulations?", "What is the fire rating for building having more than 2 basements?"]
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data = [{'name':'Albert','rel':'Head','unique_number': 101},
{'name':'Sheen','rel':'Head','unique_number': 201},
{'name':'Peter','rel':'Son','unique_number': 101},
{'name':'Chloe','rel':'Daughter','unique_number': 101}]
can you help me out in getting data like this? filtered on unique_number
updated_data = [
{'house_head':'Albert','members':['Peter','Chloe']},
{'house_head':'Sheen','members':[]}
]
The following should work:
numbers=set([i['unique_number'] for i in data])
dict={i:{'Head':'', 'members':[]} for i in numbers}
for i in data:
if i['rel']=='Head':
dict[i['unique_number']]['Head']=i['name']
else:
dict[i['unique_number']]['members'].append(i['name'])
new_data=[{'house_head':dict[i]['Head'], 'members':dict[i]['members']} for i in dict]
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I was trying to fetch text content from table which works well but along with result it print unwanted codes
my code is here
searchitem = searchme.objects.filter(face = after) .values_list ("tale" , flat = True)
the contents are text
the result I receive is "querySet Prabhakaran seachitem"
but I only want o get result "Prabhakaran"
model is this
class searchme ( models.Model):
face = models.TextField()
tale = models.TextField ()
From the official django documentation :
A common need is to get a specific field value of a certain model instance. To achieve that, use values_list() followed by a get() call:
So use:
searchme.objects.values_list('tale', flat=True).get(face=after)
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I am trying to read a huge file lazily in with the pandas get_csv function. I want to access the first 5000 elements of a specified column. But I am getting the error I mentioned in my title.
#fetching data
train = pd.read_csv(os.path.join(dir,"Train.csv"),iterator = True)
test = pd.read_csv(os.path.join(dir,"Test.csv"),iterator = True)
Getting the parts of the data I need:
labels = np.array(train.get_chunk(5000))[:,3]
train = np.array(train.get_chunck(5000))[:,2]
test = np.array(test.get_chunk(5000))[:,2]
Error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-43-b164e8752510> in <module>()
1 labels = np.array(train.get_chunk(5000))[:,3]
----> 2 train = np.array(train.get_chunck(5000))[:,2]
3 test = np.array(test.get_chunk(5000))[:,2]
AttributeError: 'TextFileReader' object has no attribute 'get_chunck'
Apparently I am not allowed to do it like this? If not, how could I rewrite this to achieve what I am trying to achieve with this code?
get_chunck is a spelling error!
Try get_chunk instead of get_chunck.
get_chunck is the culprit ! get_chunk