pandas dataframe获取所有行名称与列名称方法示例

def check_rows():
    data = {
        'name': ['a', 'a', 'a', 'b', 'b', 'c', 'c', 'c'],
        's1': [1, 2, 3, 4, 5, 6, 7, 8],
        's2': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
    }
    df = pd.DataFrame(data)
    row_index = df.index
    print("row_index is: ", row_index)
    print("type(row_index) is: ", type(row_index))
    rows_f1 = df.index.values
    print("rows_f1 is: ", rows_f1)
    print("type(rows_f1) is: ", type(rows_f1))
    rows_f1 = rows_f1.tolist()
    print("rows_f1 is: ", rows_f1)
    rows_f2 = [row for row in df.index]
    print("rows_f2 is: ", rows_f2)

def check_columns():
    data = {
        'name': ['a', 'a', 'a', 'b', 'b', 'c', 'c', 'c'],
        's1': [1, 2, 3, 4, 5, 6, 7, 8],
        's2': [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8]
    }
    df = pd.DataFrame(data)
    columns_name_f1 = [column for column in df]
    print("columns_name_f1 is: ", columns_name_f1)
    columns = df.columns
    print("df.columns is: ", columns)
    print("type(df.columns) is: ", type(df.columns))
    columns_name_f2 = [column for column in df.columns]
    print("columns_name_f2 is: ", columns_name_f2)
    columns_name_f2 = df.columns.values.tolist()
    print("columns_name_f2 is: ", columns_name_f2)
    columns_name_f2 = df.columns.tolist()
    print("columns_name_f2 is: ", columns_name_f2)
    columns_name_f3 = list(df)
    print("columns_name_f3 is: ", columns_name_f3)