1. 理解drop_duplicates在pandas中的含义和用法 drop_duplicates方法用于从DataFrame中删除重复的行。默认情况下,它考虑所有列来判断哪些行是重复的。但是,你可以通过指定subset参数来仅基于DataFrame的某些列来判断重复项。 2. 确定要删除重复项的DataFrame以及基于哪些列进行重复判断 假设你有一个名为df的DataFrame,并希...
DataFrame.drop_duplicates(self, subset=None, keep='first', inplace=False) Return DataFrame with duplicate rows removed, optiona
官方解释:https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop_duplicates.html#pandas.DataFrame.drop_duplicates DataFrame.drop_duplicates(subset=None, keep='first', inplace=False) Return DataFrame with duplicate rows removed, optionally only considering certain columns. #返回...
/** * Returns a new Dataset that contains only the unique rows from this Dataset. * This is an alias for `distinct`. * * For a static batch [[Dataset]], it just drops duplicate rows. For a streaming [[Dataset]], it * will keep all data across triggers as intermediate state ...
TheDataFrame.drop_duplicates()function This function is used to remove the duplicate rows from a DataFrame. DataFrame.drop_duplicates(subset=None, keep='first', inplace=False, ignore_index=False) Parameters: subset: By default, if the rows have the same values in all the columns, they are ...
Table 1 shows the output of the previous syntax: We have created some example data containing seven rows and three columns. Some of the rows in our data are duplicates. Example 1: Drop Duplicates from pandas DataFrame In this example, I’ll explain how to delete duplicate observations in a...
deduplicated : DataFrame duplicated(subset=None, keep='first') method of pandas.core.frame.DataFrame instance Return boolean Series denoting duplicate rows, optionally only considering certain columns Parameters --- subset : column label or sequence of labels, optional Only consider certain columns for...
DataFrame with duplicate rows removed. Considering certain columns is optional. Indexes, including time indexes are ignored. 参数: --- subset:指定重复数据所在的列。columnlabelorsequenceoflabels,optional Onlyconsidercertaincolumnsforidentifyingduplicates,by defaultuseall...
Remove duplicate rows from the DataFrame: importpandas as pd data = { "name": ["Sally","Mary","John","Mary"], "age": [50,40,30,40], "qualified":[True,False,False,False] } df = pd.DataFrame(data) newdf= df.drop_duplicates() ...
'VBA删除空白列 Sub DeleteEmptyRows() Dim LastRow As Long, r As Long LastRow = Activ...