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Pandas replace and downcasting deprecation since version 2. 2. 0 To retain the old behavior, explicitly call `result infer_objects(copy=False)` To opt-in to the future behavior, set `pd set_option('future no_silent_downcasting', True)` 0 1 1 0 2 2 3 1 dtype: int64 If I understand the warning correctly, the object dtype is "downcast" to int64
std::future - cppreference. com The class template std::future provides a mechanism to access the result of asynchronous operations: An asynchronous operation (created via std::async, std::packaged_task, or std::promise) can provide a std::future object to the creator of that asynchronous operation
What is __future__ in Python used for and how when to use it, and how . . . A future statement is a directive to the compiler that a particular module should be compiled using syntax or semantics that will be available in a specified future release of Python The future statement is intended to ease migration to future versions of Python that introduce incompatible changes to the language
python - from __future__ import annotations - Stack Overflow Python doc __future__ In the python docs about __future__ there is a table where it shows that annotations are "optional in" 3 7 0b1 and "mandatory in" 4 0 but I am still able to use annotations in 3 8 2 without importing annotations
pandas FutureWarning: Downcasting object dtype arrays on . fillna . . . As for the answers, I personally prefer not to insert lines including future things, that clutter the code and that you will need to remove when it will not be 'future' anymore In addition to the answer of @suruki6 which uses convert_dtypes() beforehand, we can also go back to the basic way of replacing values in a dataframe series:
Difference between coroutine and future task in Python 3. 5? The returned future task object doesn't yet have a value but over time, when the network operations finish, the future object will hold the result of the operation from asyncio import ensure_future futures = [] for i in range(5): futures append(ensure_future(foo(i))) loop = get_event_loop() loop run_until_complete(wait(futures))