Can you believe Pandas 1.0.0 is finally here?

⭐️   My top 5 picks for some exciting new features:

1️⃣   New “string” and “bool” data types.

2️⃣   pd.NA: to be used as nullable integer, bool and new string data type (I’m so excited for this one, hopefully makes null handling a lot cleaner). Note that np.nan is still used for float types.

3️⃣   df.to_markdown(): converts dataframe to markdown syntax. I use my own custom function for this so often for documentation, glad to retire my own extension! (also has df.to_latex and .to_json)

4️⃣   Allow the user to choose Numba in rolling.apply instead of Cython.

5️⃣   Defining custom windows for rolling oeprations: this can definitely help clean up all these time series feature engineering scripts.

💎   Bonus: New ignore_index keyword to reset index after sorting or dropping. I mean, it’s a tiny thing but this makes me heart sing.

👉   There are still tons of other enhancements, read here for the release note