unicode – UnicodeDecodeError: the codec & # 39; utf-8 & # 39; can not decode byte 0xb4 at position 214969: invalid start byte

hello I get the error: "UnicodeDecodeError: The codec & utf-8 & # 39; can not decode the 0xb4 byte at position 214969: start the invalid byte" when trying to open the jupyter notepad on the line commands. And if I try to open the jupyter laptop directly, the error appears: "localhost can not currently handle this request. HTTTP 500 ERROR".

Please, suggest me how to resolve this error.

Thank you!

The following is the content of the cmd line:

Microsoft Windows [Version 10.0.10240]
(c) 2015 Microsoft Corporation. All rights reserved.

C: Users ADMINISTRATOR> jupyter notebook
[I 12:28:04.484 NotebookApp] Port 8888 is already in use, trying with another port.
[I 12:28:04.539 NotebookApp] Loading IPython parallel extension
[I 12:28:04.541 NotebookApp] Serving notebooks from the local directory: C: Users ADMIN
[I 12:28:04.542 NotebookApp] Jupyter's notebook runs on:
[I 12:28:04.542 NotebookApp] http: // localhost: 8889 /? token = ebe213994ecad795337ee78b547c38ea7e5c0a9deb9619b5
[I 12:28:04.542 NotebookApp] Use Control-C to stop this server and turn off all cores (twice to skip confirmation).
Tracking (recent calls latest):
File "c: users admin appdata local programs python python36 lib runpy.py", line 193, in _run_module_as_main
"principal", mod_spec)
File "c: users admin appdata local programs python python36 lib runpy.py", line 85, in _run_code
exec (code, run_globals)
File "C: Users ADMIN AppData Local Programs Python Python36 Scripts jupyter-notebook.EXE__main __. Py", line 9, in
File "c: users admin appdata local programs python python36 lib site-packages jupyter_core application.py", line 266, in launch_instance
returns super (JupyterApp, cls) .launch_instance (argv = argv, ** kwargs)
File "c: users admin appdata local programs python python36 lib site-packages traitlets config application.py", line 658, in launch_instance
app.start ()
File "c: users admin appdata local programs python python36 lib site-packages notebook notebookapp.py", line 1781, at startup
self.write_browser_open_file ()
File "c: users admin appdata local programs python python36 lib site-packages notebook notebookapp.py", line 1700, in write_browser_open_file
self._write_browser_open_file (open_url, f)
File "c: users admin appdata local programs python python36 lib site-packages notebook notebookapp.py", line 1708, in _write_browser_open_file
template = jinja2_env.get_template (& # 39; browser-open.html & # 39;)
File "c: users admin appdata local programs python python36 lib site-packages jinja2 environment.py", line 830, in get_template
return self._load_template (name, self.make_globals (globals))
File "c: users admin appdata local programs python python36 lib site-packages jinja2 environment.py", line 804, in _load_template
template = self.loader.load (self, name, globals)
File "c: users admin appdata local programs python python36 lib site-packages jinja2 loaders.py", line 113, under load
source, file name, uptodate = self.get_source (environment, name)
File "c: users admin appdata local programs python python36 lib site-packages jinja2 loaders.py", line 175, in get_source
contents = f.read (). decode (self.encoding)
UnicodeDecodeError: the codec & # 39; utf-8 & # 39; can not decode byte 0xb4 at position 214969: the start byte is not valid

linux – Extract only Unicode characters

I have a text file with many junk characters.

https://raw.githubusercontent.com/shantanuo/marathi_spell_check/master/dicts/sample.txt

I need to keep only Devnagari's characters. The expected clean output will look something like this …

भूमी
भूमी
भूमीला
्यासाहेब
रवनाथ
रवी
रव
गावापासून
गा

According to this page, I need to extract all the characters between the Unicode range from U + 090 to U + 097
https://en.wikipedia.org/wiki/Devanagari_(Unicode_block)

Python: Built-in function for the & # 39; sum & # 39; Unicode of a chain?

In Python, is there a built-in function to calculate the & # 39; sum & # 39; Unicode of a chain?

The function would take a string of any length, essentially execute ord () on each character, then return the sum of all ord () calls.

So something like unicode_sum (& # 39; abc & # 39;) == unicode_sum (& # 39; cba & # 39;) would be True.

I realize that this could be easily coded, but a built-in function would be nice.

python – I can not write a dictionary from a text file when I try to handle unicode

I want to use a word list of dictionary form to create a text file that contains a large array of all the word counts for each of the blogs.

I adapt the code of this file, which comes from Programming Collective intelligence written by Toby Segaran. It was written in python 2 and I want to use python 3. I do not know why but he tries to handle unicode with blog = blog.encode ('ascii', 'ignore'):

# use the list of words and blogs to create a text file
# that contains a large array of all word counts
# for each of the blogs
out = open ('blogdata.txt', 'w')
out.write ('Blog')
for word in wordlist:
    out.write (' t% s'% word)
out.write (' n')
for blog, wc in wordcounts.items ():
    # deal with unicode outside the ascii range
    blog = blog.encode ('ascii', 'ignore')
    out.write (blog)
    for word in wordlist:
        if word in wc:
            out.write (' t% d'% wc[word])
        else:
            out.write (' t0')
    out.write (' n')

But I returned

-------------------------------------------------- -------------------------
TypeError Traceback (most recent call last)
 in 
      8 #deal with unicode outside the ascii range
      9 blog = blog.encode ('ascii', 'ignore')
---> 10 out.write (blog)
     11 for word in wordlist:
     12 if word in wc:

TypeError: write () argument must be str, not bytes

Here is a part of wordcounts:

{'Le Monde.fr - Actualités et Infos en France et dans le monde': {'comprendre': 1,
  'l': 27,
  'affaire': 4,
  'vincent': 2,
  'lambert': 2,
  'in': 9,
  'dates': 1,
  'depuis': 2,
  ...

I wonder if it would be better to do it in a CSV file.

Unicode analysis with keys without double quotes in Python

I'm trying to convert the Python Unicode object below without double quotes to json.

x = {
version: & # 39; 2.1.2 & # 39 ;,
dipa: & # 39; 1.2.3.4 & # 39 ;,
dipaType: & # 39; & # 39 ;,
Customer information: [{
            name: 'xyz',
            id: 1234,
            account_id: 'abc',
            contract_id: 'abc',
            in_use: true,
            region: 'NA',
            location: 'USA'
        },
        {
            name: 'XYZ',
            id: 9644,
            account_id: 'qwerty5',
            contract_id: 'qscdfgr',
            in_use: true,
            region: 'NA',
            location: 'cambridge'
        }
    ],
maxAlertCount: 2304,
ongress: false,
ScrubCenters: [{
        name: 'TO',
        percentage: 95.01,
        onEgress: false
    }],
status: & # 39; update & # 39 ;,
updated: & # 39; 1557950465 & # 39 ;,
vectors: [{
            name: 'rate',
            alertNames: ['rate'],
ongress: false,
Alerts: [{
                key: '1.2.3.4',
                source: 'eve',
                eNew: '1557943443',
                dc: 'TOP2',
                bond: 'Border',
                percentage: 95.01,
                gress: 'ingress',
                sourceEpochs: ['1557950408',
                    '1557950411',
                    '1557950414',
                    '1557950417',
                    '1557950420',
                    '1557950423',
                    '1557950426',
                    '1557950429',
                    '1557950432',
                    '1557950435',
                    '1557950438',
                    '1557950441',
                    '1557950444',
                    '1557950447',
                    '1557950450',
                    '1557950453',
                    '1557950456',
                    '1557950459',
                    '1557950462',
                    '1557950465'
                ],
name: & # 39; tariff & # 39 ;,
category: & # 39; tariff & # 39 ;,
level: & # 39; alarm & # 39 ;,
Data type: & # 39; value & # 39 ;,
data: 19.99,
time stamp: 1557950466,
type: & # 39; alert & # 39 ;,
Value: 95.01,
updated: & # 39; 1557950465 & # 39;
}],
dcs: ['TO'],
captivity: ['Bo']
        }
{
name: & udp & # 39; udp & # 39 ;,
alertNames: ['udp'],
ongress: false,
Alerts: [{
                key: '1.2.3.4',
                source: 'top',
                eNew: '1557943500',
                dc: 'TO',
                bond: 'Bo',
                percentage: 95.01,
                gress: 'ingress',
                sourceEpochs: ['1557950408',
                    '1557950411',
                    '1557950414',
                    '1557950417',
                    '1557950420',
                    '1557950423',
                    '1557950426',
                    '1557950429',
                    '1557950432',
                    '1557950435',
                    '1557950438',
                    '1557950441',
                    '1557950444',
                    '1557950447',
                    '1557950450',
                    '1557950453',
                    '1557950456',
                    '1557950459',
                    '1557950462',
                    '1557950465'
                ],
name: & udp & # 39; udp & # 39 ;,
category: & # 39; udp & # 39 ;,
level: & # 39; alert & # 39 ;,
data_type: & # 39; named_values_list & # 39 ;,
data: [{
                    name: 'Dst',
                    value: 25
                }],
time stamp: 1557950466,
type: & # 39; alert & # 39 ;,
updated: & # 39; 1557950465 & # 39;
}],
dcs: ['TO'],
captivity: ['Bo']
        }
{
name: & # 39; tcp & # 39 ;,
alertNames: ['tcp_condition'],
ongress: false,
Alerts: [{
                key: '1.2.3.4',
                source: 'to',
                eNew: '1557950354',
                dc: 'TO',
                bond: 'Bo',
                percentage: 95.01,
                gress: 'ingress',
                sourceEpochs: ['1557950360',
                    '1557950363',
                    '1557950366',
                    '1557950372',
                    '1557950384',
                    '1557950387',
                    '1557950396',
                    '1557950399',
                    '1557950411',
                    '1557950417',
                    '1557950423',
                    '1557950426',
                    '1557950432',
                    '1557950441',
                    '1557950444',
                    '1557950447',
                    '1557950450',
                    '1557950456',
                    '1557950459',
                    '1557950465'
                ],
name: & # 39; tcp & # 39 ;,
category: & # 39; tcp & # 39 ;,
level: & # 39; alert & # 39 ;,
Data type: & # 39; named & # 39 ;,
data: [{
                    name: 'TCP',
                    value: 25
                }],
time stamp: 1557950466,
type: & # 39; alert & # 39 ;,
updated: & # 39; 1557950465 & # 39;
}],
dcs: ['TO'],
captivity: ['Bo']
        }
],
Timestamps: {
FirstAlerted: & # 39; 1557943443 & # 39 ;,
lastAlerted: & # 39; 1557950465 & # 39 ;,
lastLeaked: null
}
}

I tried using hjson and demjson

Import Hjson
result = hjson.loads (x)
import demjson
result = demjson.loads (x)

Current result:

hjson.scanner.HjsonDecodeError: Additional data: line 156 column 1 – line 620 column 27 (char 4551 – 232056)

demjson.JSONDecodeError: unexpected text after the end of the JSON value

Expected result:

Json object

indexing: video thumbnails are issued in SERP only for Unicode URLs

I tried many times and made sure that Google was not interested in showing my video thumbnails when I have URLs with characters that are not in English.

When I undo the canonical and internal links to the URLs in English, the problem was solved.
Now I want to know what the reason is?

I believe that Google can not detect the page is a video page when I use a URL that is not in English and Google can detect that the page is a video page when I do not use a URL that is not in English!

The source code of both versions of URL is the same.

Can anyone tell what the problem is?

To see the live example:

Search for :

واکنش والدین به پخش آهنگ ساسی در مدارس! tamasha.com

And see image below:

i.imgur.com/BrOlcm8.jpg

And look for:

آموزش سئو: نحوه ایجاد ساختار صفحات SEO-Friendly – محسن طاوسی

And see image below:

i.imgur.com/FxUq3ix.jpg

$ order-> getCustomerName () returned ?? for the name of the Unicode client

Under Magento EE 1.14, I have Unicode characters in the client's name, the following code returns the correct name in Unicode for the first time:

$ order = Mage :: getSingleton ("sales / order") -> loadByIncrementId (166690006338);
$ order-> getCustomerName ();

however, after adding the following database closing connection lines, the return becomes incorrect. Any clue how to solve the problem?

$ db = Mage :: getSingleton (& # 39; core / resource & # 39;) -> getConnection (& # 39; sales_read & # 39;);
$ db-> closeConnection ();

// Is the return distorted? after closeConnection, however, any non-Unicode character is still displayed correctly

$ order = Mage :: getSingleton ("sales / order") -> loadByIncrementId (166690006338);
$ order-> getCustomerName ();

Javascript, trying the unicode code

How can I print the character of a Unicode code?

For example, var i = " u0062";
How do I convert this code to the character it represents?

Inserting unicode control characters that are not printable in Google Docs

How can I insert a non-printable Unicode character in Google Docs? for example, mark left to right LRM unicode U + 200E.

I can see a menu option to insert special characters for Unicode scripts, but it seems to be only for printable characters.

How to resolve & # 39; An exception has occurred: TypeError coercing to Unicode: you need a string or a buffer, a tuple was found & # 39; in Python

I'm trying to calculate average goals per team from a set of match data and I came up with the following error:An exception occurred: TypeError
Unicode coercion: a string or a buffer is needed, a tuple has been found
& # 39; My code is;

matches = open (& # 39; matches.csv & # 39 ;, & # 39; r & # 39;)
data_read = csv.reader (matches, delimiter = & # 39;, & # 39;)
coincidences = []
for the row in data_read:
matches.append ((row[0], row[1], row[2], row[3]))

team =['Bandari','Chemelil','Gor Mahia','Kakamega Homeboyz','Kariobangi Sharks','Kenya CB',
 'Leopards','Mathare Utd.','Mount Kenya United', 'Nzoia Sugar','Posta Rangers','Sofapaka',
 'Sony Sugar','Tusker','Ulinzi Stars','Vihiga United', 'Western Stima', 'Zoo']

results =[]
for file in matches:
avgs =[]
    per object in equipment:
goals = 0
with open (file) as f:
reader = csv.DictReader (f)
rows =[ row for row in reader if row['Home_Team']== object]for row in rows:
for rows in a row[HTgoals]:
goalsscored = goalsscored + int (row['HTgoals'])


with open (file) as f:
reader = csv.DictReader (f)
rows2 =[ row for row in reader if row['Away_Team']== object]for the row in rows2:
for rows2 in a row['ATgoals']:
goalsscored = goalsscored + int (row['ATgoals'])

kk = df.apply (pd.value_counts)
avgs.append (annotated goals / kk)
results.append (avgs)             

My data set consists of 4 values ​​per row, the local team, the visiting team, the objectives set by the local team and the goals scored by the visiting team.

I hope the exit is a list with the average number of goals a team scores, but I do not get any output