Pandas Deprecation Alert: Stop Using DataFrame `append()`, Switch to `pd.concat()`!

The `append()` method was indeed available for pandas DataFrame objects in previous versions of pandas. However, starting from pandas 1.0.0, the `append()` function is deprecated when used on a single DataFrame and will raise an AttributeError. Instead of using `.append()`, you should use the `pd.concat()` function to concatenate DataFrames: ```python import pandas as pd # Assuming you have two dataframes df1 and df2 df = pd.concat([df1, df2], ignore_index=True) ``` Here, `ignore_index=True` is used if you want a new index sequence (a common case when appending). If you don't need to reset the index, you can omit that parameter. The above code snippet concatenates `df1` and `df2` vertically (i.e., rows are appended). If you want to append horizontally (add columns), you would do: ```python df = pd.concat([df1, df2], axis=1) ``` Keep in mind that `pd.concat()` has more options to handle overlapping indices, keys, etc., which makes it more flexible and powerful than the old `.append()` method. ######[AI写代码神器 | 240点数解答 | 2024-01-12 17:00:14]