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21 Δεκ 2018 · I'd like to remove a particular value from within a list in the pandas dataframe column. How do I go about this? df = pd.DataFrame({'A': ['a1', 'a2', 'a3'], 'B': [['b1', 'b2'], ['b1', 'b1'], ['b2']], 'C': [['c1', 'b1'], ['b3'], ['b2', 'b2']], 'D': ['d1', 'd2', 'd3']})
Assuming row b only contains one value, then you can try with the following using a list comprehension within a function, and then simply apply it: import pandas as pd a = [[1,2,3,4,5,6],[23,23,212,223,1,12]] b = [1,1] df = pd.DataFrame(zip(a,b), columns = ['a', 'b']) def removing(row): val = [x for x in row['a'] if x != row['b']] return val df ...
7 Απρ 2017 · I have a list called badcu that says [23770, 24572, 28773, ...] each value corresponds to a different "bad" customer. Then I have another dataframe, lets call it sales, so I want to drop all the records for the bad customers, the ones in the badcu list. If I do the following.
30 Σεπ 2021 · In this post, you learned different ways of creating a Pandas dataframe from lists, including working with a single list, multiple lists with the zip() function, multi-dimensional lists of lists, and how to apply column names and datatypes to your dataframe.
DataFrame.drop(labels=None, *, axis=0, index=None, columns=None, level=None, inplace=False, errors='raise') [source] #. Drop specified labels from rows or columns. Remove rows or columns by specifying label names and corresponding axis, or by directly specifying index or column names.
5 Νοε 2021 · In this tutorial, you’ll learn how to use Python to remove an item from a list. You’ll learn how to do this using the pop, remove, del, and clear methods, as well as how to remove just one instance of an item or all instances. You’ll also learn how to remove multiple Python list items conditionally.
Definition and Usage. The drop() method removes the specified row or column. By specifying the column axis ( axis='columns' ), the. drop() method removes the specified column. By specifying the row axis ( axis='index' ), the. drop() method removes the specified row.
