WebWe can remove the index column in existing dataframe by using reset_index () function. This function will reset the index and assign the index columns start with 0 to n-1. where n is … WebRemove rows or columns by specifying label names and corresponding axis, or by specifying directly index or column names. When using a multi-index, labels on different …
Identifying and Handling Outliers in Python Pandas: A Step-by-Step …
Web1 day ago · Use sort_values to sort by y the use drop_duplicates to keep only one occurrence of each cust_id: out = df.sort_values ('y', ascending=False).drop_duplicates ('cust_id') print (out) # Output group_id cust_id score x1 x2 contract_id y 0 101 1 95 F 30 1 30 3 101 2 85 M 28 2 18 As suggested by @ifly6, you can use groupby_idxmax: WebGet list of cell value conditionally. Replace values in column with a dictionary. Count distinct equivalent. Handle missing data. Delete missing data rows. Drop columns with missing … entwickleraccount
Delete row for a condition of other row values [duplicate]
WebApr 11, 2024 · 1 There is probably more efficient method using slicing (assuming the filename have a fixed properties). But you can use os.path.basename. It will automatically retrieve the valid filename from the path. data ['filename_clean'] = data ['filename'].apply (os.path.basename) Share Improve this answer Follow answered 3 hours ago sgd 136 3 … Web16 hours ago · The index Column is datetime which includes the date and time for hourly bar. I want to add another column matching the same dates as the original data frame. It means there will be 12 bars with same date. then I want to change the index to this new date column (this new column has the same date but has not time) WebIf you don't want it saved as a column, then do: df = df.reset_index (drop=True) If you don't want to reassign: df.reset_index (drop=True, inplace=True) Share Improve this answer Follow edited Jun 28, 2024 at 5:50 Shubham Sharma 65.3k 6 24 52 answered Dec 10, 2013 at 10:19 mkln 13.9k 4 18 22 121 ent wichita falls