You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This is the first time I've used this library, and indeed tkinter as well, but the first time I got a table to work I also got these warnings from tkinter:
FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)``
FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use ser.iloc[pos]``
FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '58' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
The text was updated successfully, but these errors were encountered:
I'm also having this issue on Python 3.12.5 and pandastable 0.13.1. Tried the fixes suggested on this thread, but I think pandastable is calling .fillna or a related function internally, so the fixes didn't do anything for me.
This is the first time I've used this library, and indeed tkinter as well, but the first time I got a table to work I also got these warnings from tkinter:
FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set
pd.set_option('future.no_silent_downcasting', True)``FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use
ser.iloc[pos]``FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '58' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
The text was updated successfully, but these errors were encountered: