Initial commit

training/demos/08-text-files/pandas-demo/source/csv_read_demo.py

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+"""
+Pandas getting started script.
+
+Pandas introduction demo script for Python beginners.
+Makes a few calls taken from the official docs to see what can be done
+with Pandas.
+
+See Also:
+https://pandas.pydata.org/docs/getting_started/comparison/comparison_with_sql.html
+
+"""
+import pandas as pd
+
+if __name__ == "__main__":
+    # Read dataframe from CSV file
+    frame: pd.DataFrame = pd.read_csv("files/demo-file-985.csv")
+    # Get basic information on data
+    print(frame.dtypes)
+
+    # Access, within column zero, to all rows
+    for row in frame.street:
+        print(row)
+
+    # Make the equivalent to a SELECT WHERE query
+    # Get a frame where the price column is > 100,000
+    print(frame[frame["price"] > 100000])

training/demos/08-text-files/pandas-demo/source/xls_read_demo.py

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+"""
+Pandas getting started script.
+
+Pandas introduction demo script for Python beginners.
+Makes a few calls taken from the official docs to see what can be done
+with Pandas.
+
+See Also:
+https://pandas.pydata.org/docs/getting_started/comparison/comparison_with_sql.html
+
+"""
+import pandas as pd
+
+if __name__ == "__main__":
+    # Read dataframe from CSV file
+    frame: pd.DataFrame = pd.read_excel("files/demo-file-1000.xls")
+    # Get basic information on data
+    print(frame.dtypes)
+
+    # Access, within column zero, to all rows
+    for row in frame["First Name"]:
+        print(row)
+
+    # Make the equivalent to a SELECT WHERE query
+    # Get a frame where the age column is >= 40
+    print(frame[frame["Age"] >= 40])