subset:可选参数,用于指定要检查缺失值的特定列名或行索引。 inplace:可选参数,表示是否对原始数据进行就地修改。默认值为False,表示不修改原始数据,而是返回一个新的数据框 import pandas as pd df = pd.DataFrame(pd.read_excel('test.xlsx', engine='openpyxl')) print(df.values) df.dropna(how='any', ...
dropna(axis=0, how=‘any’, thresh=None, subset=None, inplace=False) 2.1 缺失值在Series的应用 2.2 缺失值在DataFrame中的应用 dropna()默认会删除任何含有缺失值的行 2.3 dropna 参数how-any(只要含有任何一个 ) all(全部为缺失值时删除) 2.4 dropna参数axis=0( 按行) axis=1 (按列) 默认按行 输...
[30]: #删除缺失值 DP_table.dropna(inplace=True) #how='all',全部为缺失值时才删除 DP_table.isnull().sum() 日期 0 订单号 0 区域 0 客户性别 0 客户年龄 0 商品品类 0 进货价格 0 实际售价 0 销售数 0 销售额 0 利润 0 dtype: int64 收藏评论 2.4.3缺失值数字填充¶ 评论 In [31]: ...
By default, the dropna method setshow = 'any', so unless you manually change this parameter, dropna will drop a row if any values are missing in that row. subset(optional) Thesubsetparameter enables you to specify the subset of columns where dropna will look for missing values. So maybe ...
"""dropna函数的参数:axis: 默认axis=0。0为按行删除,1为按列删除how: 默认 ‘any’。‘any’指带缺失值的所有行/列;'all’指清除一整行/列都是缺失值的行/列thresh: int,保留含有int个非nan值的行subset: 删除特定列中包含缺失值的行或列inplace: 默认False,即筛选后的数据存为副本,True表示直接在原...
differently indexed objects yield theunionof the indexes in order to avoid loss of information. Having an index label, though the data is missing, is typically important information as part of a computation. You of course have the option of dropping labels with missing data via thedropnafunction...
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - pandas/pandas/core/reshape/reshape.py at main · pandas-dev/pandas
df.dropna(subset=['order_id'], inplace=True) 3.2 异常值检测方法 基于Tukey法则的箱线图检测法: Q1 = df['sales'].quantile(0.25) Q3 = df['sales'].quantile(0.75) IQR = Q3 - Q1 df = df[~((df['sales'] < (Q1 - 1.5 * IQR)) | ...
DataFrame-dropna() functionThe dropna() function is used to remove missing values.Syntax:DataFrame.dropna(self, axis=0, how='any', thresh=None, subset=None, inplace=False)Parameters:NameDescriptionType/Default Value Required / Optional axis Determine if rows or columns which contain missing ...
Pandas dropna() Syntax Below is the syntax of the pandas.DataFrame.dropna() method. # Pandas.DataFrame.dropna() syntax DataFrame.dropna(axis=0, how='any', thresh=None, subset=None, inplace=False) Now, let’screate a DataFramewith a few rows and columns and execute some examples to learn...