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The str type is the same as the bytes type, and different from the unicode type. A sequence of bytes that the programmer is then likely to pretend is text. Use __str__ if you have a class, and you'll want an.
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Change data.columns=[headername] into data.columns=headername explanation: Encoding is the process of converting a str to a bytes object decoding is the process of converting a bytes object to a str I need to select rows based on partial string matches.
Return f{self.__class__!s}({self.__dict__!r}) would have been too dangerous (for example, too easy to get into infinite recursion if objects reference each other).
I would like to read some characters from a string s1 and put it into another string s2. In your example, you function is expecting ham of type str, and eggs of type str (defaulting to eggs). However, assigning to s2[j] gives an error: I have a pandas dataframe with a column of string values.
We'll get back to that, later. S2[j] = s1[i] # typeerror: 'str' object does not support item So when the compiler sees char *str, it knows that you might ask to do something like *str or str[0] (which both do the same thing).
When you set data.columns=[headername], the.