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(st
if filter['symbol'] == '=' or filter['symbol'] == '==': cond = result_df[filter_column_name] == value elif filter['symbol'] == '<': # logging.debug('<') cond = result_df[filter_column_name] < value ... if conditions is None: # logging.debug('conditions is None') con...
1...导入 Pandas 库在使用 Pandas 之前,首先导入 Pandas 库: import pandas as pd 3...数据分组 4.1 单列分组 # 按某一列进行分组 grouped = df.groupby('column_name') 4.2 多列分组 # 按多列进行分组 grouped = df.groupby(...过滤通过 filter 方法可以根据分组的统计信息筛选数据: # 过滤出符合条...
columns: if df[column].dtype == 'object': # 对于分类数据,使用众数填充 mode = df[column].mode()[0] df[column].fillna(mode, inplace=True) else: # 对于数值数据,选择最佳填充方法 if df[column].isnull().sum() / len(df[column]) < 0.1: # 如果缺失值少于10%,使用前向填充 df[column...
df[df.eval("Q1 > `Q2`+@a")] 6、筛选df.filter() df.filter(items=['Q1', 'Q2']) # 选择两列df.filter(regex='Q', axis=1) # 列名包含Q的列df.filter(regex='e$', axis=1) # 以e结尾的列df.filter(regex='1$', axis=0) # 正则,索引名以1...
To filter the dataframe where a column value isNULL, use.isnull() importpandasaspdimportnumpyasnp df = pd.DataFrame({'name':['john','david','anna'],'country':['USA','UK',np.nan] }) df.query('country.isnull()') Original Dataframe ...
df = df.select(['A', 'C']) df = df.rename({‘A’: ‘ID’, ‘C’: ‘Total’}) df = df.filter(pl.col('A') > 2) df = df.groupby('A').agg({'C': 'sum'})这些Pandas函数都可以直接使用。创建新列：df = df.with_column(pl.col(‘Total’) / 2, ‘Half Total’)处理空值...
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)] 字符串方法:根据字符串匹配条件筛选行。例如str.startswith(), str.endswith(), str.contains() ...
:To select rows based on a specific column value, use the index chain method. For example, to filter rows where sales are over 300: Pythongreater_than = df[df['Sales'] > 300] This will return rows with sales greater than 300.Filter by Multiple Conditions:...
A string that specifies what the indexes or column labels should contain. regex Regular Expression Optional. A regular expression of what the indexes or column labels should contain. axis 01'index''column'None Optional, default 'column'. The axis to filter on...