add missingno-dependency, minor change (kelvin-number)

requirements.txt

@@ -13,7 +13,7 @@ certifi==2025.1.31
 cffi==1.17.1
 charset-normalizer==3.4.1
 comm==0.2.2
-contourpy==1.3.1
+contourpy==1.2.0
 cycler==0.12.1
 debugpy==1.8.13
 decorator==5.2.1
@@ -27,6 +27,7 @@ httpcore==1.0.7
 httpx==0.28.1
 idna==3.10
 ipykernel==6.29.5
+ipympl==0.9.7
 ipython==9.0.1
 ipython_pygments_lexers==1.1.1
 ipywidgets==8.1.5
@@ -54,6 +55,7 @@ kiwisolver==1.4.8
 MarkupSafe==3.0.2
 matplotlib==3.10.1
 matplotlib-inline==0.1.7
+missingno==0.5.2
 mistune==3.1.2
 narwhals==1.29.0
 nbclient==0.10.2
@@ -62,7 +64,7 @@ nbformat==5.10.4
 nest-asyncio==1.6.0
 notebook==7.3.2
 notebook_shim==0.2.4
-numpy==2.2.3
+numpy==1.26.4
 overrides==7.7.0
 packaging==24.2
 pandas==2.2.3
@@ -92,6 +94,7 @@ requests==2.32.3
 rfc3339-validator==0.1.4
 rfc3986-validator==0.1.1
 rpds-py==0.23.1
+scipy==1.15.2
 seaborn==0.13.2
 Send2Trash==1.8.3
 setuptools==75.8.2

src/my_package/get_record.py

@@ -0,0 +1,23 @@
+import pandas as pd
+
+def get_records(df, city_name):
+    if df.empty: 
+        print("df is empty")
+
+    else:
+        max_temp_mean = df['temp.mean_celsius'].max()
+        min_temp_mean = df['temp.mean_celsius'].min()
+
+        max_temp = df['temp.record_max'].max() - 272.15
+        min_temp = df['temp.record_min'].min() - 272.15
+
+        summary_data = {
+            "Metric": ["Max Temp mean (°C)", "Min Temp Mean (°C)", "Max Temp (°C)", "Min temp (°C)"],
+            "Values": [max_temp_mean, min_temp_mean, max_temp, min_temp]
+        }
+
+        summary_df = pd.DataFrame(summary_data)
+        folder = "../data/output_record"
+        filename = f"records_{city_name}"
+
+        return summary_df, filename, folder