CBSE Class 12 Informatics Practices · Data Handling Using Pandas – I · Chapter 1
🐼 Data Handling Using Pandas – I
CBSE Class 12 · Informatics Practices · Chapter 1
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📖Notes Deck
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Download PDF →📝Quick Drill
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Download PDF →Top PYQ patterns · CBSE 2017–2024 aggregate
| 95% | Create a Series from dict + predict output — Show import · show creation · predict output with aligned columns · name index source. | 3 MARKS |
| 90% | Create DataFrame + .head()/.tail() — Two Series → dict → DataFrame · head() defaults to 5 · output with column names + index. | 3 MARKS |
| 85% | Add/delete/rename column — Add: df['new'] = expr · Delete: df.drop(col, axis=1) · Rename: df.rename(columns={...}) · note inplace=False default. | 4 MARKS |
| 80% | Boolean indexing — Inner expr produces Boolean Series · df[bool_series] returns matching rows · no loop needed. | 3 MARKS |
| 75% | CSV read/write — read_csv() · head() · boolean filter · to_csv(index=False) · always show import. | 5 MARKS |
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