下面是将第一行作为列名的完整代码示例: importpandasaspd# 创建一个示例的DataFramedata={'A':[1,2,3],'B':[4,5,6],'C':[7,8,9]}df=pd.DataFrame(data)print("原始DataFrame:")print(df)# 将第一行作为列名df.columns=df.iloc[0]df=df[1:]print("\n将第一行作为列名后的DataFrame:")print...
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import pandas as pd def test(): # 读取Excel文件 df = pd.read_excel('测试数据.xlsx') # 插入列 df.insert(loc=2, column='爱好', value=None) # 保存修改后的DataFrame到新的Excel文件 df.to_excel('结果.xlsx', index=False) test() 3、插入多列 假设我需要在D列(班级)后面插入5列,表头名...
DataFrame.stack([level, dropna])Pivot a level of the (possibly hierarchical) column labels, returning a DataFrame (or Series in the case of an object with a single level of column labels) having a hierarchical index with a new inner-most level of row labels. DataFrame.unstack([level, fill...
rename({"column a":"column_a", "column b":" column_b"}, axis='columns', inplace=True) df df = pd.DataFrame({'column a': [1, 2, 3], 'column b': [4, 5, 6]}) df.columns = ['column_a', 'column_b'] df df = pd.DataFrame({'column a': [1, 2, 3], 'column b'...
df.desrcibe() 6. 选择列 df['ColumnName'] 使用方式: 通过列名选择DataFrame中的一列。示例: 选择“Salary”列。...选择特定行和列 df.loc[index, 'ColumnName'] 使用方式: 通过索引标签和列名选择DataFrame中的特定元素。示例: 选择索引为1的行的“Name”列的值。...滑动窗口 df['Column'].rolling...
sns.heatmap(corr_df)# 剔除相关性系数高于threshold的corr_drop threshold=0.9upper=corr_df.where(np.triu(np.ones(corr_df.shape),k=1).astype(np.bool))corr_drop=[columnforcolumninupper.columnsifany(upper[column].abs()>threshold)] Chi2检验 ...
std. dev. of 7 runs, 1000 loops each) test.subtract(df.mean()) %timeit df.subtract(df...
1. Vectorization: Replace loops with `df.apply()` or built-in methods 2. Optimal Data Types: e.g., `category` for low-cardinality text 3. Chunking Large Data: Read files in batches with `chunksize`学习路径建议 Learning Path Recommendations 1. 基础：掌握 DataFrame 创建、索引、切片 2. 进阶...
df: pandas.DataFrame The dataframe that contains the data y: str Name of the column y which acts as the target output: str - potential values: "df", "list" Control the type of the output. Either return a df or a list with all the PPS score dicts ...