Created
April 6, 2026 13:20
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Glimpse DataFrame
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| class GlimpseDataFrame(pd.DataFrame): | |
| """DataFrame subclass with a glimpse method similar to Polars.""" | |
| def glimpse(self, max_cols=10): | |
| """ | |
| Display a transposed view of the first few rows, showing column names and types. | |
| Parameters: | |
| ----------- | |
| max_cols : int | |
| Maximum number of columns to display | |
| """ | |
| n_cols = min(len(self.columns), max_cols) | |
| cols_to_show = self.columns[:n_cols] | |
| print(f"shape: ({len(self)}, {len(self.columns)})") | |
| print() | |
| for col in cols_to_show: | |
| dtype = str(self[col].dtype) | |
| first_val = self[col].iloc[0] if len(self) > 0 else None | |
| print(f"{col}: {dtype}") | |
| print(f" {first_val}") | |
| if len(self.columns) > max_cols: | |
| print(f"... and {len(self.columns) - max_cols} more columns") | |
| @property | |
| def _constructor(self): | |
| return GlimpseDataFrame |
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