import pandas as pd # 读取数据 data = pd.read_csv('data.csv') # 检测重复的列 is_duplicate = data.duplicated() # 删除重复的列 data = data.drop(data.columns[is_duplicate], axis=1) # 重新命名列 new_columns = {'original_column1': 'new_column1', 'original_column2': 'new_column2'...
您可以使用属性访问来修改 Series 或 DataFrame 的现有元素,但要小心;如果尝试使用属性访问来创建新列,则会创建新属性而不是新列,并将引发UserWarning: 代码语言:javascript 代码运行次数:0 运行 复制 In [30]: df_new = pd.DataFrame({'one': [1., 2., 3.]}) In [31]: df_new.two = [4, 5, 6...
def createBonusColumn(employees: pd.DataFrame) -> pd.DataFrame: employees['bonus'] = employees['salary'] * 2 return employees def modifySalaryColumn(employees: pd.DataFrame) -> pd.DataFrame: employees['salary'] = employees['salary'] * 2 return employees def renameColumns(students: pd.DataFrame...
Pandas 之 DataFrame 常用操作 importnumpyasnpimportpandasaspd This section will walk you(引导你) through the fundamental(基本的) mechanics(方法) of interacting(交互) with the data contained in a Series or DataFrame. -> (引导你去了解基本的数据交互, 通过Series, DataFrame). In the chapters to com...
div() Divides the values of a DataFrame with the specified value(s) dot() Multiplies the values of a DataFrame with values from another array-like object, and add the result drop() Drops the specified rows/columns from the DataFrame drop_duplicates() Drops duplicate values from the DataFrame...
The DataFrame method duplicated returns a boolean Series indcating whether each rows is a duplicate (has been observed in a previous row) or not: "df.duplicated() 对每一行数据进行重复判断"data.duplicated() 'df.duplicated() 对每一行数据进行重复判断'0False1False2False3False4False5False6Truedtyp...
df = pd.DataFrame(data) print(df.head()) The output will be: Finding Duplicate Rows In the sample dataframe that we have created, you might have noticed that rows 0 and 4 are exactly the same. You can identify such duplicate rows in a Pandas dataframe by calling theduplicatedfunction. ...
Dropping Duplicate Names Let's say you have a dataframe that contains vet visits, and the vet's office wants to know how many dogs of each breed have visited their office. However, there are dogs like Max and Stella, who have visited the vet more than once in your dataset. Hence, you...
Pandas 之 DataFrame 常用操作 importnumpyasnp importpandasaspd 1. 2. This section will walk you(引导你) through the fundamental(基本的) mechanics(方法) of interacting(交互) with the data contained in a Series or DataFrame. -> (引导你去了解基本的数据交互, 通过Series, DataFrame)....
duplicate_occurrences = pd.DataFrame(0, index=[0], columns=letters) co_occurrences = pd.DataFrame(0, index=letters, columns=letters) for l in data: duplicates = [k for k, v in Counter(l).items() if v > 1] for d in duplicates: ...