Zhiyuan Dong

About Me

I am a PhD student at the University of Delaware, and a very good table tennis player.

Research Interests

• Graph Neural Networks
• Machine Learning
• Causal Inference

  XML to xarray Challenge

• I interacted with AI tool to complete this task.
• First, I input the data structure and the features inside in to help the coding agent to understand the data structure it is wroking with.
• Second, I told him the variables I am expected in the output dataset and my goal is to get the results of each race.
• Third, I wrote a query and I asked AI to do as well. And to see if we got the same result.

  My Query Code

  import pandas as pd import xarray as xr file_path = “students/Zhiyuan_Dong/race_results.nc” ds = xr.open_dataset(file_path) df = ds.to_dataframe().reset_index() df[“officialFinish”] = pd.to_numeric(df[“officialFinish”], errors=”coerce”) top_3_horses = df[df[“officialFinish”] <= 3].copy() top_3_horses = top_3_horses[[“raceNumber”, “horse”, “jockey”, “trainer”, “officialFinish”, “dollarOdds”]] top_3_horses = top_3_horses.sort_values(by=[“raceNumber”, “officialFinish”]) print(top_3_horses)

  Sample Output

• 9th Race: Idiomatic, Classy Edition, Morning Matcha