在 Python 中，输出紧凑风格的 YAML

2025-4-30 10:12

在 Python 中，要输出这种紧凑风格的 YAML（类似于 JSON 的 {} 格式），可以使用 pyyaml 库并调整输出格式。以下是实现方法：

方法1：使用 `pyyaml` 并禁用默认换行

import yaml

data = {
    "count": 122,
    "grade": 4,
    "data": [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5, 0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0, 165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1, 72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1, 135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2, 135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0]
}

# 禁用默认的换行和缩进
output = yaml.dump(data, default_flow_style=True, width=float("inf"))
print(output)

方法2：直接生成紧凑格式字符串（更简单）

data = {
    "count": 122,
    "grade": 4,
    "data": [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5, 0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0, 165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1, 72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1, 135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2, 135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0]
}

# 直接生成紧凑格式（类似JSON的stringify）
output = "{" + f"count: {data['count']}, grade: {data['grade']}, data: {data['data']}" + "}"
print(output)

输出结果

两种方法都会生成如下紧凑格式的 YAML：

{count: 122, grade: 4, data: [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5, 0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0, 165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1, 72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1, 135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2, 135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0]}

关键参数说明

default_flow_style=True：强制使用 {} 和 [] 的紧凑格式
width=float("inf")：禁止 YAML 自动换行

如果不需要严格的 YAML 格式，方法2（直接字符串拼接）更简单直接。

Comments

Admin
Owner

Edited

1 month ago
2025-4-30 10:17:38
你可以使用 Python 的内建 yaml 库（如 PyYAML）来生成符合你指定格式的 YAML 文件，使用列表的紧凑格式（即方括号 [ ] 包裹、逗号分隔）。以下是示例代码：

示例 Python 代码：
```
import yaml

data = {
    "count": 122,
    "grade": 4,
    "data": [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5,
             0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0,
             165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1,
             72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1,
             135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2,
             135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0]
}

# 写入 YAML 文件，确保 data 数组保持一行显示
with open("test.yaml", "w") as f:
    yaml.dump(data, f, default_flow_style=True)
```
关键点：
- default_flow_style=True 使 data 以 [1, 2, 3] 紧凑风格输出。
- 使用 PyYAML 库（安装命令：pip install pyyaml）
输出结果:
```
count: 122
grade: 4
data: [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5, 0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0, 165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1, 72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1, 135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2, 135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0]
```
你可以使用 Python 的内建 `yaml` 库（如 `PyYAML`）来生成符合你指定格式的 YAML 文件，使用列表的紧凑格式（即方括号 `[ ]` 包裹、逗号分隔）。以下是示例代码： --- ### 示例 Python 代码： ```python import yaml data = { "count": 122, "grade": 4, "data": [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5, 0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0, 165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1, 72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1, 135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2, 135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0] } # 写入 YAML 文件，确保 data 数组保持一行显示 with open("test.yaml", "w") as f: yaml.dump(data, f, default_flow_style=True) ``` --- ### 关键点： - `default_flow_style=True` 使 `data` 以 `[1, 2, 3]` 紧凑风格输出。 - 使用 `PyYAML` 库（安装命令：`pip install pyyaml`） --- 输出结果: ```python count: 122 grade: 4 data: [1, 0, 4, 0, 6, 12, 14, 16, 300, 348, 396, 412, 428, 0, 60, 4, 1, 3, 4, 5, 0, 72, 2, 2, 3, 0, 0, 0, 90, 2, 6, 7, 0, 0, 0, 115, 1, 4, 0, 0, 0, 0, 165, 1, 6, 0, 0, 0, 0, 195, 1, 7, 0, 0, 0, 1, 60, 1, 1, 0, 0, 0, 1, 72, 2, 2, 5, 0, 0, 1, 90, 1, 8, 0, 0, 0, 1, 115, 2, 9, 10, 0, 0, 1, 135, 1, 10, 0, 0, 0, 1, 165, 1, 11, 0, 0, 0, 2, 115, 1, 12, 0, 0, 0, 2, 135, 1, 13, 0, 0, 0, 3, 115, 1, 12, 0, 0, 0, 3, 135, 1, 13, 0, 0, 0] ```