Metadata-Version: 2.4
Name: RunningTrainsPlot
Version: 1.0.6
Summary: 铁路列车运行数据可视化工具
Home-page: https://github.com/yourusername/RunningTrainsPlot
Author: Shen-Zeyu,Guan-Chengze,Zheng-Haoyu,Wu-Yuqian
Author-email: sc22zs2@leeds.ac.uk
Keywords: railway,train,visualization,plot,diagram,flow
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.0.0
Requires-Dist: numpy>=1.18.0
Requires-Dist: matplotlib>=3.1.0
Requires-Dist: plotly>=5.0.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
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# RunningTrainsPlot

为研究人员与工程技术人员提供的可扩展、可交互的铁路可视化工具。

> **注意**: 本项目之前名为"RailwayTrainsVisualization"，现已更名为"RunningTrainsPlot"以提供更简洁的名称。如果您之前使用的是旧版本，请使用新名称重新安装。

## 功能特点

- **列流图 (Column Flow Chart)**：铁路线路流量可视化
- **速度曲线 (Speed Curve)**：列车速度-距离/时间曲线可视化
- **循环运行图 (Cyclic Diagram)**：列车循环运行图可视化
- **股道占用图 (Track Occupation)**：列车股道占用可视化
- **客流OD图 (Passenger Flow OD Chart)**：站点间客流可视化
- **工具函数**：数据加载、预处理和可视化工具

## 安装与更新

### 初次安装

```bash
pip install RunningTrainsPlot
```

### 更新到最新版本

```bash
pip install --upgrade RunningTrainsPlot
```

> 注意：只有在发布新版本后才需要使用--upgrade选项更新。可以通过`from RunningTrainsPlot import __version__; print(__version__)`检查当前版本。

### 验证安装

安装完成后可运行以下简单测试验证功能：

```python
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime, timedelta

# 检查版本
from RunningTrainsPlot import __version__
print(f"当前版本: {__version__}")

# 导入所有模块
from RunningTrainsPlot import passenger_flow, column_flow, speed_curve
from RunningTrainsPlot import cyclic_diagram, track_occupation

# 测试股道占用图
base_time = datetime(2023, 1, 1, 8, 0)
data = pd.DataFrame({
    'train_id': ['G201', 'D101', 'K105'],
    'track': ['1股道', '2股道', '3股道'],
    'arrival_time': [
        base_time,
        base_time + timedelta(hours=1),
        base_time + timedelta(hours=2)
    ],
    'departure_time': [
        base_time + timedelta(hours=0.5),
        base_time + timedelta(hours=2),
        base_time + timedelta(hours=3)
    ]
})

# 创建股道占用图
fig, ax = track_occupation.plot_track_occupation(
    data,
    title='股道占用图测试',
    figsize=(10, 6)
)
plt.show()
```

## 使用指南

### 列流图

```python
from RunningTrainsPlot import column_flow

# 加载数据
stations, flows = column_flow.load_flow_data("stations.csv", "flows.csv")

# 绘制图表
column_flow.plot_column_flow(stations, flows)
```

### 速度曲线

```python
from RunningTrainsPlot import speed_curve

# 加载数据
data = speed_curve.load_speed_data("speed_data.csv")

# 绘制速度-距离曲线
speed_curve.plot_speed_curve(data, x_col='distance', y_col='speed')

# 绘制速度-时间曲线
speed_curve.plot_speed_curve(data, x_col='time', y_col='speed')

# 同时绘制两种曲线
speed_curve.plot_speed_distance_time(data)
```

### 循环运行图

```python
from RunningTrainsPlot import cyclic_diagram

# 加载数据
data = cyclic_diagram.load_data("cycle_data.csv")

# 绘制图表
cyclic_diagram.plot_cyclic_diagram(data)
```

### 股道占用图

```python
from RunningTrainsPlot import track_occupation

# 加载数据
data = track_occupation.load_track_data("track_data.csv")

# 绘制股道占用图
track_occupation.plot_track_occupation(data)
```

### 客流OD图表

```python
from RunningTrainsPlot import passenger_flow

# 加载数据
data = passenger_flow.load_data("passenger_data.csv")

# 绘制图表
passenger_flow.plot_passenger_flow(data)
```

## 数据工具

```python
from RunningTrainsPlot import utils

# 加载数据
data = utils.load_data("data.csv")

# 预处理数据
processed_data = utils.preprocess_data(data)
```

## 版本历史

- **1.0.0** - 初始版本，从RailwayTrainsVisualization更名而来
- **1.0.1** - 新增原生循环运行图(cyclic_diagram)实现，不再依赖外部包

## 作者

- ZeyuShen <sc22zs2@leeds.ac.uk>

## 许可证

MIT
