# Using query for filtering rows with a single condition df.query('Order_Quantity > 3') # Using query for filtering rows with multiple conditions df.query('Order_Quantity > 3 and Customer_Fname == "Mary"') betw
df.query('Order_Quantity > 3') 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Using queryforfiltering rowswithmultiple conditions df.query('Order_Quantity > 3 and Customer_Fname == "Mary"') between():根据在指定范围内的值筛选行。df[df['column_name'].between(start, end)] 代码语言...
# Using query for filtering rows with a single condition df.query('Order_Quantity > 3') # Using query for filtering rows with multiple conditions df.query('Order_Quantity > 3 and Customer_Fname == "Mary"') between():根据在指定范围内的值筛选行。df[df['column_name'].between(start, end...
Remember that when combining conditions, it’s crucial to wrap each condition in parentheses. Using Functions as Conditions A powerful feature of thewheremethod is the ability to use callables (like functions) as conditions for filtering. Here’s how to use callables within thewheremethod: Let’...
# Using queryforfiltering rowswithmultiple conditions df.query('Order_Quantity > 3 and Customer_Fname == "Mary"') 1. 2. between():根据在指定范围内的值筛选行。df[df['column_name'].between(start, end)] 复制 # Filter rows based on values within a range ...
#Usingqueryforfilteringrowswithmultiple conditions df.query('Order_Quantity > 3 and Customer_Fname == "Mary"') between():根据在指定范围内的值筛选行。df[df['column_name'].between(start, end)] #Filterrowsbasedonvalueswithina range df[df['Order Quantity'].between(3,5)] ...
5.2 多列分组 Multiple columns 6.1 特征 Features 6.1 定量特征 Quantitative 6.2 加权特征 Weigthed features 7.1 过滤条件 Filter conditions 7.2 用函数过滤 Filters from functions 7.3 特征过滤 Feature filtering 8.1 特征排序 Sorting by features 9.1 数值指标 Numeric metrics 9.2 分类特征 Categorical features 10...
Python program to demonstrate the use of Boolean indexing in pandas dataframes with multiple conditions # Importing pandas packageimportpandasaspd# Creating a dictionaryd={'Name':["Ayushi","Parth","Sudhir","Ganesh"],'Post': ["HR","SDE","Data-Analyst","SDE"],'Salary':[40000,50000,80000,...
()function is used to replace values with specified values where the condition is not satisfied. It is a convenient method for filtering data based on a condition. This function is used for the conditional replacement of values. It provides a flexible way to apply conditions to each element ...
print("After filtering the rows based on multiple conditions:\n", df2) # Output: # After filtering the rows based on multiple conditions: # Courses Courses Fee Duration Discount # 2 Hadoop 23000 30days 1000 # 3 Python 24000 None 1200 ...