dupe = students.duplicated(subset='Name') print(dupe)#找出重复数据 print(dupe.any()) dupe=dupe[dupe == True]#可以显示出只有True的数据 print(students.iloc[dupe.index]) 1. 2. 3. 4. 5. 6. 7. 旋转数据表 transpose()函数用于旋转数据表 imp
Given a Pandas DataFrame, we have to modify a subset of rows.ByPranit SharmaLast updated : September 22, 2023 Sometimes, we need to modify a column value based upon another column value. For example, if you have two columns 'A' and 'B', and you want the value of 'B' to be Nan ...
>>> movies_df.info()Index: 1000 entries, Guardians of the Galaxy to Nine LivesData columns (total 11 columns):Rank 1000 non-null int64Genre 1000 non-null objectDescription 1000 non-null objectDirector 1000 non-null objectActors 1000 non-null objectYear 1000 non-null int64Runtime (Minutes) ...
dropna函数默认删除所有出现空的行,即一行中任意一个字段为空,就会被删除。当只需要删除某一列的空行时,需要设置subset参数,例如dropna(subset=['city']) importpandasaspdimportnumpyasnpdf=pd.DataFrame({'a':[1,"知道",2,5,4],'b':['知道','np.nan','bbc','道德','道路'],'d':[1,3,3,np.na...
方法描述DataFrame.asfreq(freq[, method, how, …])将时间序列转换为特定的频次DataFrame.asof(where[, subset])The last row without any NaN is taken (or the last row withoutDataFrame.shift([periods, freq, axis])Shift index by desired number of periods with an optional time freqDataFrame.first_...
KeyError:"Noneof[Int64Index([2,4,-1],dtype='int64')] are in the [columns]" iloc只能接受行/列的索引,不能传入行名,或者列名 subset=df.loc[:,[2,4,-1]]print(subset.head()) 输出结果 IndexError:.iloc requires numeric indexers,got['year' 'pop'] ...
DataFrame的单元格可以存放数值、字符串等,这和excel表很像,同时DataFrame可以设置列名columns与行名index。 1、创建DataFrame 1.1函数创建 pandas常与numpy库一起使用,所以通常会一起引用 importpandas as pdimportnumpy as np df1= pd.DataFrame(np.random.randn(3, 3), index=list('abc'), columns=list('ABC...
duplicated([subset, keep]) #Return boolean Series denoting duplicate rows, optionally only DataFrame选取以及标签操作 代码语言:javascript 代码运行次数:0 运行 AI代码解释 DataFrame.equals(other) #两个数据框是否相同 DataFrame.filter([items, like, regex, axis]) #过滤特定的子数据框 DataFrame.first(...
The first argument you pass to subset() is the name of your dataframe, cash. Notice that you shouldn't put company in quotes! The == is the equality operator. It tests to find where two things are equal and returns a logical vector. Interactive Example of the subset() Method In the ...
na.drop(subset=['Name']).show() # pyspark自可以自动推断类型,在填充缺失值时很有帮助 df.printSchema() # 输入字符串,就自动填充字符串类型的数据 df.na.fill('FILL VALUE').show() # 输入number,就自动填充number类型的数据 df.na.fill(0).show() # 指定列填充指定数据 df.na.fill('No Name',...