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Author: ch-garcia

introduction_pandas/2887_fill_missing_data.py

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+"""
+2887. Fill Missing Data
+Solved
+Easy
+Companies
+Hint
+
+DataFrame products
++-------------+--------+
+| Column Name | Type   |
++-------------+--------+
+| name        | object |
+| quantity    | int    |
+| price       | int    |
++-------------+--------+
+
+Write a solution to fill in the missing value as 0 in the quantity column.
+
+The result format is in the following example.
+
+Example 1:
+Input:+-----------------+----------+-------+
+| name            | quantity | price |
++-----------------+----------+-------+
+| Wristwatch      | None     | 135   |
+| WirelessEarbuds | None     | 821   |
+| GolfClubs       | 779      | 9319  |
+| Printer         | 849      | 3051  |
++-----------------+----------+-------+
+Output:
++-----------------+----------+-------+
+| name            | quantity | price |
++-----------------+----------+-------+
+| Wristwatch      | 0        | 135   |
+| WirelessEarbuds | 0        | 821   |
+| GolfClubs       | 779      | 9319  |
+| Printer         | 849      | 3051  |
++-----------------+----------+-------+
+Explanation: 
+The quantity for Wristwatch and WirelessEarbuds are filled by 0.
+"""
+
+import pandas as pd
+
+def fillMissingValues(products: pd.DataFrame) -> pd.DataFrame:
+    products['quantity'].fillna(0, inplace=True)
+    return products