Python 按 HH:MM:SS 排序 json 文件

Question

我想做什么： 在 Python 中使用 Plotly 绘制折线图，简单的 X 轴和 Y 轴，其中 X 轴包含时间戳。

问题： 折线图转得很奇怪，我怀疑我的顺序不正确。

图表图片：https://imgur.com/tQg6vdl

来自 gross_list 的示例数据（Y 轴）：

[146.09, 145.0, 146.09, 152.05, 151.21, 148.26, 150.15, 151.21, 151.21, 151.35]

来自 timestamp_list（X 轴）的样本数据：

'2022-12-06T13:42:09.932+0100', '2022-12-06T13:37:58.288+0100', '2022-12-06T13:40:31.206+0100', '2022-12-06T13:42:47.082+0100', '2022-12-06T13:42:47.082+0100', '2022-12-06T13:41:34.000+0100', '2022-12-06T13:43:55.753+0100', '2022-12-06T13:39:37.648+0100', '2022-12-06T13:42:09.932+0100', '2022-12-06T13:40:00.195+0100', '2022-12-06T13:42:43.677+0100', '2022-12-06T13:42:09.932+0100', '2022-12-06T13:39:37.648+0100', '2022-12-06T13:39:37.648+0100', '2022-12-06T13:41:15.039+0100', '2022-12-06T13:41:15.039+0100', '2022-12-06T13:37:58.288+0100', '2022-12-06T13:40:36.080+0100', '2022-12-06T13:39:05.007+0100', '2022-12-06T13:40:25.363+0100', 

import os
import json
from datetime import datetime

import plotly.express as px
import plotly.graph_objects as go
import pandas as pd

# Directory path
dir_path = '/data'

for folder_name in os.listdir(dir_path):
    gross_list = []
    timestamp_list = []

    folder_path = os.path.join(dir_path, folder_name)

    if os.path.isdir(folder_path):
        json_files = []

        for file_name in os.listdir(folder_path):
            file_path = os.path.join(folder_path, file_name)

            if file_name.endswith('.json'):
                with open(file_path, 'r') as json_file:
                    try:
                        json_data = json.load(json_file)

                        json_files.append({
                            'json': json_data,
                            'time': datetime.fromtimestamp(os.path.getmtime(file_path))
                        })
                    except:
                        pass

        # Sort the JSON files by date and time
        json_files.sort(key=lambda x: x['time'])

        for json_file in json_files:
            data = json_file['json']
            gross = data["gross"]
            timestamp = data["updated"]
            gross_list.append(gross)
            timestamp_list.append(timestamp)
        
        x_data = timestamp_list
        y_data = gross_list
        marker_value = 145

        # Create dataframe
        df = pd.DataFrame({'x': x_data, 'y': y_data})

        # Create line chart
        fig = go.Figure()

        fig.add_trace(
            go.Scatter(
                x=df['x'],
                y=df['y'],
                mode='lines',
                line=dict(width=2, shape='linear'),
                name='Line Chart'
            )
        )

        # Check if marker value is present in input data
        if marker_value not in y_data:
            print(f"Marker value {marker_value} is not present in the input data.")
        else:
            # Add custom marker to the chart
            fig.add_trace(
                go.Scatter(
                    x=[df.loc[df['y'] == marker_value, 'x'].values[0]],
                    y=[marker_value], # Set y value to marker_value to place marker at specified value
                    mode='markers',
                    marker=dict(size=6, color='blue', symbol='circle', line=dict(width=2, color='black')),
                    name=f'Marker at {marker_value}'
                )
            )

            # Add chart title
            fig.update_layout(title='Line Chart with Custom Marker')
            fig.show()

高度赞赏为什么没有正确订购的任何建议！