Pre-TR-Upload 1

Author: eyrei123

how-to-drop-null-values-in-pandas/README.md

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+The materials contained in this download are designed to complement the RealPython tutorial [How to Drop Null Values in pandas](https://realpython.com/how-to-drop-null-values-in-pandas/).
+
+You should create a new folder named pandas_nulls on your computer and place each file inside it. You may also consider creating a [Python virtual environment](https://realpython.com/python-virtual-environments-a-primer/) within this folder.
+
+Your download bundle contains the following four files. The first three files contain the code from different tutorial sections, while the fourth contains the solutions to the exercise.
+
+`drop_null_rows.py`        
+`drop_null_columns.py`   
+`drop_a_subset.py`         
+`exercise_solutions.py` 
+
+There are also two data files containing the data used throughout the tutorial:
+
+`sales_data_with_missing_values.csv`
+`grades.csv`
+

how-to-drop-null-values-in-pandas/drop_a_subset.py

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+import pandas as pd
+
+sales_data = pd.read_csv(
+    "sales_data_with_missing_values.csv",
+    parse_dates=["order_date"],
+    date_format="%d/%m/%Y",
+).convert_dtypes(dtype_backend="pyarrow")
+
+
+sales_data.dropna(axis=0, subset=(["discount", "sale_price"]))
+
+sales_data.dropna(how="all")
+
+sales_data.dropna(thresh=5)
+
+sales_data.dropna(thresh=5, ignore_index=True)

how-to-drop-null-values-in-pandas/drop_null_columns.py

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+import pandas as pd
+
+sales_data = pd.read_csv(
+    "sales_data_with_missing_values.csv",
+    parse_dates=["order_date"],
+    date_format="%d/%m/%Y",
+).convert_dtypes(dtype_backend="pyarrow")
+
+sales_data.dropna(axis="columns")

how-to-drop-null-values-in-pandas/drop_null_rows.py

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+import pandas as pd
+
+sales_data = pd.read_csv(
+    "sales_data_with_missing_values.csv",
+    parse_dates=["order_date"],
+    date_format="%d/%m/%Y",
+).convert_dtypes(dtype_backend="pyarrow")
+
+sales_data
+
+sales_data.isna().sum()
+
+sales_data.dropna()
+
+clean_sales_data = sales_data.dropna()
+
+clean_sales_data = sales_data.dropna(inplace=True)

how-to-drop-null-values-in-pandas/exercise solutions.py

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+grades = pd.read_csv(
+    "grades.csv",
+).convert_dtypes(dtype_backend="pyarrow")
+
+# 1. Permanently drop the last row of the dataframe.
+
+grades.dropna(how="all", inplace=True)
+
+# 2. Display the rows for the exams that all students have completed.
+
+grades.dropna()
+
+# 3. Display any columns with no missing data.
+
+grades.dropna(axis=1)
+
+# 4. Display the exams students have sat five or more times.
+
+grades.dropna(axis=0, thresh=6)  # Remember there are seven columns.
+
+# 5. Who else would be in the exam hall when both `S2` and `S4` were there?
+
+grades.dropna(subset=["S2", "S4"]).dropna(axis=1, ignore_index=True)

how-to-drop-null-values-in-pandas/grades.csv

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+Subject,S1,S2,S3,S4,S5,S6
+math,18,,15,20,17,18
+science,26,35,19,,33,
+art,15,,9,17,18,14
+music,14,20,12,20,13,18
+history,18,19,,17,,18
+sport,20,17,20,17,18
+,,,,,

how-to-drop-null-values-in-pandas/sales_data_with_missing_values.csv

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+order_number,order_date,customer_name,product_purchased,discount,sale_price
+,09/02/2025,Skipton Fealty,Chili Extra Virgin Olive Oil,TRUE,135.00
+70041,,Carmine Priestnall,,,150.00
+70042,09/02/2025,,Rosemary Olive Oil Candle,FALSE,78.00
+70043,10/02/2025,Lanni D'Ambrogi,,TRUE,19.50
+70044,10/02/2025,Tann Angear,Vanilla and Olive Oil Candle,,13.98
+70045,10/02/2025,Skipton Fealty,Basil Extra Virgin Olive Oil,TRUE,
+70046,11/02/2025,Far Pow,Chili Extra Virgin Olive Oil,FALSE,150.00
+70047,11/02/2025,Hill Group,Chili Extra Virgin Olive Oil,TRUE,135.00
+70048,11/02/2025,Devlin Nock,Lavender and Olive Oil Lotion,FALSE,39.96
+,,,,,
+70049,12/02/2025,Swift Inc,Garlic Extra Virgin Olive Oil,TRUE,936.00