Python Pandas - Interpolation of Missing Values Python Pandas - Dropping Missing Data Python Pandas - Calculations with Missing Data Python Pandas - Handling Duplicates Python Pandas - Duplicated Data Python Pandas - Counting & Retrieving Unique Elements Python Pandas - Duplicated Labels Python Pandas -...
By default, Pandas will keep the first appearance of that row, and discard all others thereafter (keep='first'). To keep the last, we would usekeep='last. If we just want to dropallduplicates, we usekeep=False. Inplace: Usingdf.drop_duplicates(inplace=True)is the same as our example...
In case 1, the worst possibility is that egg does not break so trials will be 3 for case 1. Case 2. Drop at second floor: Egg breaks: We are left with one egg and we have to check only 1 floor so number of trials 2.