Pandas 如何使用drop()方法从Series中删除指定行 pandas的series.drop()方法用于从pandas series对象中删除特定的行。它会返回一个已删除行的series对象。 drop()方法可应用于基于标签和位置索引的series对象。drop()方法的参数有标签,轴,级别,就地操作以及抛出错误。
# Drop duplicate rows (but only keep the first row)df = df.drop_duplicates(keep='first') #keep='first' / keep='last' / keep=False# Note: inplace=True modifies the DataFrame rather than creating a new onedf.drop_duplicates(keep='first', inplace=True)处理离群值 异常值是可以显著影响...
# Drop duplicate rows (but only keep the first row) df = df.drop_duplicates(keep='first') #keep='first' / keep='last' / keep=False # Note: inplace=True modifies the DataFrame rather than creating a new one df.drop_duplicates(keep='first', inplace=True) 处理离群值 异常值是可以显...
>>> raw = pd.read_csv("...") >>> deduplicated = raw.groupby(level=0).first() # remove duplicates >>> deduplicated.flags.allows_duplicate_labels = False # disallow going forward 设置allows_duplicate_labels=False在具有重复标签的Series或DataFrame上,或者在Series或DataFrame上执行引入重复标签的...
如上所述,get_option()和set_option()可从 pandas 命名空间中调用。要更改选项,请调用set_option('option regex', new_value)。 In [12]: pd.get_option("mode.sim_interactive")Out[12]: FalseIn [13]: pd.set_option("mode.sim_interactive", True)In [14]: pd.get_option("mode.sim_interactive...
# Drop duplicate rows (but only keep the first row) df = df.drop_duplicates(keep='first') #keep='first' / keep='last' / keep=False # Note: inplace=True modifies the DataFrame rather than creating a new one df.drop_duplicates(keep='first', inplace=True) 处理离群值 异常值是可以...
writer.writerow(('sh02','3','sss','99')) writer.writerow(('sh03','1','hhh','90')) writer.writerow(('sh03','2','jjj','88')) writer.writerow(('sh03','3','mmm','99')) file_obj.close() file_obj =open(r'C:\Users\XuYunPeng\PycharmProjects\Python基础知识大全\第10章...
这样就可以将数据的索引进行“改变了”,注意看我使用的是['a','b',5],这个列表的里面的数据的数据类型是不一样的。 4.2. 使用set_index(),reset_index()和reindex()方法 DataFrame.set_index:Setrowlabels.DataFrame.reset_index:Removerowlabelsormovethemtonewcolumns.DataFrame.reindex:Changetonewindicesorexpa...
usedrows = WorksheetFunction.Max(getLastValidRow(sht,"A"), getLastValidRow(sht,"B"))'rename the header 'COMPANY' to 'Company_New',remove blank & duplicate lines/rows.Dimcnum_companyAsStringcnum_company =""ForEachrngInsht.Range("A1","A"& usedrows)IfVBA.Trim(rng.Offset(0,1).Value)...
可以使用.remove_categories()方法删除类别。 删除的值将替换为np.NaN。 以下屏幕截图通过删除bronze类别来演示此操作: [外链图片转存失败,源站可能有防盗链机制,建议将图片保存下来直接上传(img-9jdtdVy7-1681365561336)(https://gitcode.net/apachecn/apachecn-ds-zh/-/raw/master/docs/learning-pandas-2e/img...