Python code to modify a subset of rows # Applying condition and modifying# the column valuedf.loc[df.A==0,'B']=np.nan# Display modified DataFrameprint("Modified DataFrame:\n",df) Output The output of the above program is: Python Pandas Programs »...
import pandas as pd df = pd.DataFrame(pd.read_excel('test1.xlsx', engine='openpyxl')) print(df['area']) df.drop_duplicates(subset=['area'], inplace=True) print(df['area']) df.to_excel('test1.xlsx', index=False) 0 北京 1 南京 2 天津 3 东莞 4 广州 5 深圳 6 深圳 Name: ...
importpandasaspd df=pd.DataFrame({'Name':['Alice','Bob','Charlie','Dave','Emily'],'Age':[25,30,35,40,45],'Country':['USA','Canada','France','Germany','Japan']}) Python Copy 要访问国家为法国或德国的人的数据,可以使用isin方法: subset=df[df['Country'].isin(['France','Germany'...
np.random.shuffle(df.Fruit)np.random.shuffle(df.Vegetable)np.random.shuffle(df.Animal)df.head(30)# filter sets fruitsInclude=['Apple','Banana','Grape']vegetablesExclude=['Asparagus','Broccoli']# subset1:All rows and columns where:#(fruitinfruitsInclude)AND(Vegetable notinvegetablesExlude)df....
row_index = 0 # 要查找相似行的索引 column_to_subtract = 'C' # 要减去的特定列 subtract_similar_rows(df, similarity_matrix, row_index, column_to_subtract) 在上述代码中,我们首先导入了必要的库和模块,然后创建了一个示例的Dataframe。接下来,通过计算余弦相似度矩阵来衡量行之间的相似度。然后,...
livel Match simple index on level of MultiIndex; otherwise select subset of. copy 删除行,列数据根据Axis Dropping one or more entries from an axis is easy if you already hava an index array or list without those entries. As that can requier a bit of munging(操作) and set logic. The dro...
cmap用于指定matplotlib色条low和high用于指定最小最大值颜色边界,区间[0, 1]axis用于指定行、列或全部,默认是列方向subset用于指定操作的列或行text_color_threshold用于指定文本颜色亮度,区间[0, 1]vmin和vmax用于指定与cmap最小最大值对应的单元格最小最大值low和high用于指定最小最大值颜色边界,区间[0, 1]...
~df['Vegetable'].isin(vegetablesExclude)] # subset2: All rows and columns where: # (fru...
How to delete the last row of data of a pandas DataFrame? Find the column name which has the maximum value for each row How to find unique values from multiple columns in pandas? How to modify a subset of rows in a pandas DataFrame?
If you’re using IPython, tab completion for column names (as well as public attributes) is automatically enabled. Here’s a subset of the attributes that will be completed: In [13]:df2.<TAB>df2.A df2.booldf2.abs df2.boxplotdf2.add df2.Cdf2.add_prefix df2.clipdf2.add_suffix ...