donePandas1

2d Dimentional.sql

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+#List to DF
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    lst=[["sonu",26],["maggi",25],["pooja",27]]
+   #print(type(df))
+    return pd.DataFrame(lst,columns=["Name","Age"])
+
+
+
+#Dict to DF
+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    data={"name":["sonu","pooja","maggi"],"age":[26,27,25]}
+    #print(type(data))
+    return pd.DataFrame(data).rename(columns={"name":"nam","age":"ah"})

BigCountries.sql

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+import pandas as pd
+
+def big_countries(world: pd.DataFrame) -> pd.DataFrame:
+    df=world[(world["area"]>=3000000)|(world["population"]>=25000000)]
+    df=df[["name", "area", "population"]]
+    return df
+

CustomersWhoNeverOrder.sql

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+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    df=customers[~customers["id"].isin(orders["customerId"])]
+    return df[["name"]].rename(columns={"name":"Customers"})
+
+
+#2nd method using merge
+import pandas as pd
+
+def find_customers(customers: pd.DataFrame, orders: pd.DataFrame) -> pd.DataFrame:
+    df=customers.merge(orders,left_on="id",right_on="customerId",how="left")
+    df=df[df["customerId"].isna()]
+    return df[["name"]].rename(columns={"name":"Customers"})

Recyclable.sql

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+import pandas as pd
+
+def find_products(products: pd.DataFrame) -> pd.DataFrame:
+    df=products[(products["low_fats"]=="Y") & (products["recyclable"]=="Y")]
+    df=df[["product_id"]]
+    return df