Planning plot for rankings

I’m thinking about how to set up a CSV that contains rows of round and team ranking positions. However, I really want to focus on plotting the ranking trends of the top 4 teams across matchweeks. Without data, I realize that I need to prepare code that expects a weekly table detailing the teams and their ranks. For that chart titled "前四排名走势图", it'll need to show the rank trajectory for those top 4 teams throughout the season. I'll outline the approach and write a script named plot_csl_top4.py that includes data from two CSV files.Summarizing ranking changes
I need to compute how many times rank 1 changed ownership, counting distinct transitions while ignoring consecutive repeats. I'll also determine the longest consecutive leader streak and create a leaderboard showing how many weeks each team led. I’ll produce a line plot that displays these changes and includes annotations for leader changes. However, without data, I can’t provide specific details, just a takeaway summary in Chinese highlighting the competition's intensity and possible team rotations. I’ll ask if the user wants a breakdown by rounds or teams.Offering data extraction options
I’ll say, "如果官方图显示, 我可以提取具体轮次和球队." I want to offer to extract data from an image if the user pastes the chart image since image input is enabled. I'll request them to upload the chart so we can read it and compute stats. Additionally, I'll propose an option to compute from text data. My response in Chinese will include concise options:
I'll keep it within 4-6 bullets and consider offering the analytic script option with a code block.Providing concise options
I aim to keep my initial reply short and ask the user what they need. I want to offer to analyze the chart if they share it, generate a plot, and optionally provide a brief commentary. So, I’ll structure my response with bullet points:
Let’s get started!
想跟进这条吗?“榜首共12次易主”说明今年竞争极其激烈、榜首稳定性很低,通常意味着至少3–4队在不同阶段轮流领跑,冲刺阶段易主会更密集。

你希望我做哪种帮忙?
如果你有官方那张走势图,直接发图给我即可,我能从图里读出数据并还原时间线;或者给我每轮积分榜/排名CSV,我用脚本算出易主次数与可视化。