Add source example files

source/pandas/01-pandas-manual/02-dataframe-demo.py

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+"""Define simple DataFrame objects by hand."""
+import pandas as pd
+
+if __name__ == '__main__':
+    # Creating a series with coherent value type
+    df1 = pd.DataFrame({"age": [25, 45, 65], "prenom": ["Pierre", "Paul", "Jacques"]})
+
+    # Get the column names of the dataframe
+    print("Columns:", df1.columns.tolist())
+    # Get the number of rows in the dataframe
+    print(f"Size of the dataframe in rows: {len(df1)}")
+    # Show the type of the columns
+    print("Data type of columns (autodetected):")
+    type_dict = df1.dtypes.to_dict()
+    for column, dtype in type_dict.items():
+        print(f"{column:<20} : {str(dtype):<20}")
+    print("_" * 80)
+    # Display the contents of the dataframe
+    print(df1)
+
+    # Creating a series with coherent value type
+    df2 = pd.DataFrame([[25, "Pierre"], [45, "Paul"], [65, "Jacques"]])
+
+    # Get the column names of the dataframe
+    print("Columns:", df2.columns.tolist())
+    # Get the number of rows in the dataframe
+    print(f"Size of the dataframe in rows: {len(df2)}")
+    # Show the type of the columns
+    print("Data type of columns (autodetected):")
+    type_dict = df2.dtypes.to_dict()
+    for column, dtype in type_dict.items():
+        print(f"{column:<20} : {str(dtype):<20}")
+    print("_" * 80)
+    # Display the contents of the dataframe
+    print(df2)