Dynamically loaded data did not map correctly to the heat map, but manually hardcoded the data into the code and the heat map displayed correctly.

Everyone, please see the magical events I encountered using pyecharts:
The code I used to plot the heat map is as follows:

import time
 
 
def aggregate_data_by_weekday_and_hour(data):
    """Date conversion, combined data"""
 
    create_time = np.array([int(item['create_time']) for item in data])
    video_play_count = np.array([int(item['video_play_count']) for item in data])
 
    # Initialize list to store aggregated data
    aggregated_data_list = []
 
    # Iterate over timestamps and play counts
    for ts, count in zip(create_time, video_play_count):
        # Convert timestamp to weekday and 12-hour format
        weekday = time.strftime("%A", time.localtime(ts))  # Convert milliseconds to seconds
        hour = time.strftime("%H", time.localtime(ts))  # Convert milliseconds to seconds
 
        # Combine weekday and hour as key
        key = f"{weekday}_{hour}"
 
        # Split key into weekday and hour
        weekday, hour = key.split('_')
 
        # Append the result to the list
        aggregated_data_list.append([hour, weekday, count])
 
    return aggregated_data_list
 
def supplement_data(input):
    """Completion of data"""
 
    data_dict = {(str(hour).zfill(2), day): 0 for hour in range(24) for day in
                 ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']}
 
    # Populate raw data
    for item in input:
        hour, day, value = item
        data_dict[(hour, day)] = value
 
    # Converts a dictionary to list form and sorts it by day of the week and hour
    filled_data = [[hour, day, value] for (hour, day), value in sorted(data_dict.items())]
 
    return filled_data
 
def custom_sort(item):
    week_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
 
    return int(item[0]), week_order.index(item[1])
 
from pyecharts.charts import HeatMap
 
 
def create_heatmap(aggregated_data):
    filled_data = supplement_data(aggregated_data)
 
    heatmap_data = sorted(filled_data, key=custom_sort)
 
    # Define week and time ranges
    weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
    times = ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11',
             '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']
 
    max_value = max(heatmap_data, key=lambda x: x[2])[2]
    non_zero_values = [x[2] for x in heatmap_data if x[2] != 0]
    min_value = min(non_zero_values) if non_zero_values else 0
 
    # Create a HeatMap instance and set the parameters
    heatmap = (
        HeatMap()
        .add_xaxis(times)
        .add_yaxis("Views", weekdays, heatmap_data)
        .set_global_opts(
            title_opts=opts.TitleOpts(title="观看量热力图", subtitle="以12小时制展示"),
            visualmap_opts=opts.VisualMapOpts(min_=min_value, max_=max_value),
        )
    )
 
    return heatmap

However, the heat map does not show any part except 0.

enter image description here

But what if I just comment out the two lines that get the data and print out heatmap_data：

from pyecharts.charts import HeatMap
 
 
def create_heatmap(aggregated_data):
    # filled_data = supplement_data(aggregated_data)
 
    # heatmap_data = sorted(filled_data, key=custom_sort)
    heatmap_data = [['00', 'Monday', 0], ['00', 'Tuesday', 0], ['00', 'Wednesday', 0], ['00', 'Thursday', 0], ['00', 'Friday', 0], ['00', 'Saturday', 0], ['00', 'Sunday', 0], ['01', 'Monday', 0], ['01', 'Tuesday', 0], ['01', 'Wednesday', 0], ['01', 'Thursday', 0], ['01', 'Friday', 0], ['01', 'Saturday', 0], ['01', 'Sunday', 0], ['02', 'Monday', 0], ['02', 'Tuesday', 0], ['02', 'Wednesday', 0], ['02', 'Thursday', 0], ['02', 'Friday', 0], ['02', 'Saturday', 0], ['02', 'Sunday', 0], ['03', 'Monday', 0], ['03', 'Tuesday', 0], ['03', 'Wednesday', 0], ['03', 'Thursday', 0], ['03', 'Friday', 0], ['03', 'Saturday', 0], ['03', 'Sunday', 0], ['04', 'Monday', 0], ['04', 'Tuesday', 0], ['04', 'Wednesday', 0], ['04', 'Thursday', 0], ['04', 'Friday', 0], ['04', 'Saturday', 0], ['04', 'Sunday', 0], ['05', 'Monday', 0], ['05', 'Tuesday', 0], ['05', 'Wednesday', 0], ['05', 'Thursday', 0], ['05', 'Friday', 0], ['05', 'Saturday', 0], ['05', 'Sunday', 0], ['06', 'Monday', 0], ['06', 'Tuesday', 0], ['06', 'Wednesday', 0], ['06', 'Thursday', 0], ['06', 'Friday', 0], ['06', 'Saturday', 0], ['06', 'Sunday', 0], ['07', 'Monday', 0], ['07', 'Tuesday', 0], ['07', 'Wednesday', 0], ['07', 'Thursday', 0], ['07', 'Friday', 0], ['07', 'Saturday', 0], ['07', 'Sunday', 0], ['08', 'Monday', 0], ['08', 'Tuesday', 0], ['08', 'Wednesday', 0], ['08', 'Thursday', 0], ['08', 'Friday', 0], ['08', 'Saturday', 0], ['08', 'Sunday', 0], ['09', 'Monday', 397577], ['09', 'Tuesday', 0], ['09', 'Wednesday', 0], ['09', 'Thursday', 0], ['09', 'Friday', 0], ['09', 'Saturday', 0], ['09', 'Sunday', 0], ['10', 'Monday', 0], ['10', 'Tuesday', 0], ['10', 'Wednesday', 0], ['10', 'Thursday', 0], ['10', 'Friday', 294981], ['10', 'Saturday', 598007], ['10', 'Sunday', 787201], ['11', 'Monday', 0], ['11', 'Tuesday', 0], ['11', 'Wednesday', 114681], ['11', 'Thursday', 0], ['11', 'Friday', 0], ['11', 'Saturday', 251777], ['11', 'Sunday', 0], ['12', 'Monday', 0], ['12', 'Tuesday', 0], ['12', 'Wednesday', 0], ['12', 'Thursday', 0], ['12', 'Friday', 0], ['12', 'Saturday', 362695], ['12', 'Sunday', 13], ['13', 'Monday', 0], ['13', 'Tuesday', 0], ['13', 'Wednesday', 0], ['13', 'Thursday', 0], ['13', 'Friday', 0], ['13', 'Saturday', 0], ['13', 'Sunday', 0], ['14', 'Monday', 0], ['14', 'Tuesday', 0], ['14', 'Wednesday', 0], ['14', 'Thursday', 0], ['14', 'Friday', 0], ['14', 'Saturday', 0], ['14', 'Sunday', 0], ['15', 'Monday', 0], ['15', 'Tuesday', 0], ['15', 'Wednesday', 0], ['15', 'Thursday', 0], ['15', 'Friday', 0], ['15', 'Saturday', 0], ['15', 'Sunday', 0], ['16', 'Monday', 0], ['16', 'Tuesday', 0], ['16', 'Wednesday', 0], ['16', 'Thursday', 0], ['16', 'Friday', 0], ['16', 'Saturday', 0], ['16', 'Sunday', 0], ['17', 'Monday', 0], ['17', 'Tuesday', 0], ['17', 'Wednesday', 0], ['17', 'Thursday', 0], ['17', 'Friday', 392098], ['17', 'Saturday', 0], ['17', 'Sunday', 0], ['18', 'Monday', 0], ['18', 'Tuesday', 0], ['18', 'Wednesday', 0], ['18', 'Thursday', 0], ['18', 'Friday', 0], ['18', 'Saturday', 520310], ['18', 'Sunday', 851239], ['19', 'Monday', 0], ['19', 'Tuesday', 0], ['19', 'Wednesday', 0], ['19', 'Thursday', 0], ['19', 'Friday', 1772419], ['19', 'Saturday', 0], ['19', 'Sunday', 1733823], ['20', 'Monday', 0], ['20', 'Tuesday', 0], ['20', 'Wednesday', 0], ['20', 'Thursday', 0], ['20', 'Friday', 551078], ['20', 'Saturday', 0], ['20', 'Sunday', 141825], ['21', 'Monday', 0], ['21', 'Tuesday', 0], ['21', 'Wednesday', 0], ['21', 'Thursday', 0], ['21', 'Friday', 0], ['21', 'Saturday', 350839], ['21', 'Sunday', 191825], ['22', 'Monday', 0], ['22', 'Tuesday', 0], ['22', 'Wednesday', 0], ['22', 'Thursday', 0], ['22', 'Friday', 0], ['22', 'Saturday', 0], ['22', 'Sunday', 1044084], ['23', 'Monday', 0], ['23', 'Tuesday', 0], ['23', 'Wednesday', 0], ['23', 'Thursday', 0], ['23', 'Friday', 0], ['23', 'Saturday', 0], ['23', 'Sunday', 0]]
 
    # 定义星期和时间范围
    weekdays = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
    times = ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11',
             '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']
 
    max_value = max(heatmap_data, key=lambda x: x[2])[2]
    non_zero_values = [x[2] for x in heatmap_data if x[2] != 0]
    min_value = min(non_zero_values) if non_zero_values else 0
 
    # 创建 HeatMap 实例并设置参数
    heatmap = (
        HeatMap()
        .add_xaxis(times)
        .add_yaxis("Views", weekdays, heatmap_data)
        .set_global_opts(
            title_opts=opts.TitleOpts(title="观看量热力图", subtitle="以12小时制展示"),
            visualmap_opts=opts.VisualMapOpts(min_=min_value, max_=max_value),
        )
    )
 
    return heatmap

Note that the heatmap_data = ... above was obtained directly via print(heatmap_data) and pasted in from the output box.
After this operation, he can display it normally.
enter image description here
Why is that? Is it wrong to pass it directly instead? And how should I fix it?