Witryna25 sie 2024 · Then use the apply function to perform one operation on the entire column as follows. def get_filename (path): temp_str = path.split ('/') return temp_str [-1] df … Witryna20 sty 2016 · The idiomatic pandas way of changing your column names is to use a vectorised string operation on df.columns: df_dict = {"df1":df1, "df2":df2, "df3":df3} for …
How to get the base file name from a column of paths
Witryna26 kwi 2024 · I created a dataframe using the following: df = pd.DataFrame(np.random.rand(10, 3), columns=['alp1', 'alp2', 'bet1']) I'd like to get a … Witryna29 paź 2016 · If you have very limited columns that are non-numeric, and own unique names, e.g., columns id and name. What you can do is: First set index ['id', 'name'] to preserve them, df = df.set_index ( ['id', 'name']) then use DataFrame.groupby function on columns, set axis=1 (iterate over each column), apply mean function for each group. bond revoked texas
How to Compare Two Columns in Pandas (With Examples)
WitrynaFor renaming the columns here is the simple one which will work for both Default(0,1,2,etc;) and existing columns but not much useful for a larger data … Witryna11 kwi 2024 · 1 Answer. Sorted by: 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 … bond rewards