# 将重复的行添加到DataFrame中 for row in duplicate_rows: result_df = result_df.append(row, ignore_index=True) # 打印结果 print(result_df) 这个例子中,我们首先创建了一个空的DataFrameresult_df,然后定义了一个包含重复行数据的列表duplicate_rows。接下来,我们使用循环遍历duplicate_rows列表,并使用appen...
duplicate()方法可以查看重复的行。# 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='...
'apple']}df=pd.DataFrame(data)# 查找重复行duplicate_rows=df.duplicated()print(duplicate_rows)上述...
duplicate()方法可以查看重复的行。 # 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' /...
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...
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') #keep='first' / keep='...
# Drop rows with missing values in specific columns df.dropna(subset = ['Additional Order items', 'Customer Zipcode'], inplace=True) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. fillna() 1. 也可以用更合适的值替换缺失的值,例如平均值、中位数或自定义值。
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...
False: Drop all duplicate rows. Example df.drop_duplicates() Output Name Age Height Weight 0 Tom 30 165 70 1 Jack 28 160 60 2 Ella 24 160 60 3 Jeff 45 170 82 df.drop_duplicates(keep="last") Output Name Age Height Weight 1 Jack 28 160 60 ...
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...