Expecting string or bytes object in python
WebMar 16, 2024 · My best guess is that freetype2 is not installed at all, and features.version_module("freetype2") got a value of None.PIL tried to give this None to a regex to try to understand the string contents, but it wasn't a string at all. However, this doesn't make a proper answer yet - and we don't have enough information yet to answer … WebApr 18, 2024 · import cx_Oracle dsn_tns = cx_Oracle.makedsn (***) conn = cx_Oracle.connect (***) c = conn.cursor () expr = bytes ('', 'utf-8') expr2 = bytes ('ML_TEST', 'utf-8') QUERY = ''' INSERT INTO dev_log (LOG, SQ_DEV_LOG_ID, LF_TEKLIF_WS, PACKAGE BODY, LINE_NO) VALUES (:expr,:expr,:expr2,:expr,:expr) …
Expecting string or bytes object in python
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WebThe Python "TypeError: expected string or bytes-like object" occurs when you pass a non-string argument to a function that expects a string. To solve the error, make sure to call the function with a string argument instead. WebApr 9, 2024 · TypeError: expected str, byte s or os. Path Like object, not TextIOWrapper python 开发语言. 回答 1 已采纳 open ()和with open () 语句都是打开文件。. 需要的参数 …
WebApr 13, 2024 · We will cover the following methods for converting bytearray to string in Python: Method 1: Using the decode() method. The decode() method is a built-in … WebJul 2, 2024 · In the Python programming language, the TypeError: expected string or bytes-like object is a common error and you may encounter this error while working with the …
WebYou don't actually need a regular expression here - there is a built-in isalpha () string method: Return true if all characters in the string are alphabetic and there is at least one character, false otherwise. WebJun 23, 2024 · TypeError: expected string or bytes-like object Desired output My desired output would be a 1) new column Fuzzy_Match with the output of the fuzzy function. ... Python - fuzzy string matching - TypeError: expected string or bytes-like object. Hot Network Questions
WebMar 11, 2016 · I believe, that you have NavigableString in link variable. Force cast it to string like: for link in soup.find_all ('p', string=True): result = re.sub (b'<.*?>', "", str (link)) print (result) Share Improve this answer …
Web我就是一小白,就普通将代码运行了下,我看了社区里面是说没有给指定路径 这是倒数出问题的程序 # Module 'ntpath' -- common ... tree of life insWebJul 30, 2024 · The return type of read is bytes.In your get_page function call decode to convert the bytes to a string.. def get_page(page): page = request.urlopen(page).read() return page.decode('utf-8') You can read more about using urllib to fetch internet resource here.However requests provides a simpler interface for such tasks.. It's also simpler to … tree of life in mythologyWebOct 23, 2024 · Here, you are using a list of strings, you need this to use re.findall. Note - If the regex fails, an empty list is returned. import re, sys f = open ('picklee', 'r') lines = f.readlines () regex = re.compile (r' [A-Z]+') for line in lines: print (re.findall (regex, line)) Share. Improve this answer. tree of life in greekWebDec 19, 2024 · TypeError: expected string or bytes-like object for list in list 1 I have a list in a column of a data frame: emaildf ['email'] [0] = ["[email protected]","[email protected]","[email protected]"] I want to iterate over each row (lets assume i) and match if the an object (assume j) in i contains a substring: for example: tree of life inderpura resortWebJan 10, 2024 · the type (row ['text']) is . I think maybe something is wrong with the data, because when I try to print how many times 会 is in the document, it shows the … tree of life in latinWebThere is probably a non-string-like object (such as NaN) in your actual df['TEXT'] which is not shown in the data you posted. Here is how you might be able to find the problematic values: mask = [isinstance(item, (str, bytes)) for item in df['TEXT']] print(df.loc[~mask]) If you wish to remove these rows, you could use. df = df.loc[mask] tree of life intention stickWebSep 8, 2024 · It might be showing an error because word_tokenize () only accept 1 string at a time. You can loop through the strings and then tokenize it. For example: text = "This is the first sentence. This is the second one. And this is the last one." sentences = sent_tokenize (text) words = [word_tokenize (sent) for sent in sentences] print (words) Share tree of life integral