4.2 dtypes
| dtype | Use |
|---|---|
int64 / int32 |
Counts, qty |
float64 |
Amounts, minutes |
bool |
Flags |
object |
Mixed / text (slow) |
amount_txt = np.array(["64", "90", "240"])
# wrong for math — convert:
amount_num = amount_txt.astype(float)
print(amount_num.sum())
Ravindra Bagale's Tip
Khup students CSV madhun amount string mhanun yeto aani sum weird yeto kiwa error. pandas madhe pan astype / to_numeric shika — NumPy dtype concept tyachya maghe aahe. Lakshat theva!