# Check duplicate rowsdf.duplicated()# Check the number of duplicate rowsdf.duplicated().sum()drop_duplates()可以使用这个方法删除重复的行。# Drop duplicate rows (but only keep the first row)df = df.drop_duplicates(keep='first') #keep='first' / keep='last' / keep=False# Note: inplac...
'duplicate_rows': df.duplicated().sum(), 'data_types': df.dtypes.value_counts().to_dict(), 'unique_values': {col: df[col].nunique() for col in df.columns} } return pd.DataFrame(report.items(), columns=['Metric', 'Value']) 数据质量改进:class DataQualityImprover: def __init__...
# Check duplicate rows df.duplicated() # Check the number of duplicate rows df.duplicated().sum() drop_duplates()可以使用这个方法删除重复的行。 # Drop duplicate rows (but only keep the first row) df = df.drop_duplicates(keep='first') #keep='first' / keep='last' / keep=False # No...
# Check duplicate rows df.duplicated() # Check the number of duplicate rows df.duplicated().sum() drop_duplates()可以使用这个方法删除重复的行。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 # Drop duplicate rows (but only keep the first row) df = df.drop_duplicates(keep='first') ...
duplicate() 1. 方法可以查看重复的行。 # Check duplicate rows df.duplicated() # Check the number of duplicate rows df.duplicated().sum() 1. 2. 3. 4. 5. drop_duplates() 1. 可以使用这个方法删除重复的行。 # Drop duplicate rows (but only keep the first row) ...
duplicate_rows = df[df.duplicated()] print("Duplicate Rows:") print(duplicate_rows) 1. 2. 3. 4. 结果是一个空数据帧。这意味着数据集中没有重复记录: 复制 Output >>> Duplicate Rows: Empty DataFrame Columns: [MedInc, HouseAge, AveRooms, AveBedrms, Population, AveOccup, Latitude, Longitude...
# Removing duplicate rowsdf.drop_duplicates(subset=['Column1', 'Column2'], keep='first', inplace=True) 14、创建虚拟变量 pandas.get_dummies() 是 Pandas 中用于执行独热编码(One-Hot Encoding)的函数。 # Creating dummy variables for categorical datadummy_...
4. Checking Duplicate Rows in a DataFrame Write a Pandas program to check duplicate rows in a DataFrame. Click me to see the sample solution 5. Removing Duplicate Rows from a DataFrame Write a Pandas program to remove duplicate rows from a DataFrame. ...
How to Find Duplicate Rows in a … Zeeshan AfridiFeb 02, 2024 PandasPandas DataFrame Row Current Time0:00 / Duration-:- Loaded:0% Duplicate values should be identified from your data set as part of the cleaning procedure. Duplicate data consumes unnecessary storage space and, at the very le...
# Removing duplicate rows df.drop_duplicates(subset=['Column1', 'Column2'], keep='first', inplace=True) 快捷进行onehot编码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 dummy_df = pd.get_dummies(df, columns=['Category']) 导出数据 代码语言:javascript 代码运行次数:0 运行 AI代码解释...