import pandas as pd # pyright: ignore[reportMissingModuleSource]
import numpy as np

ages = pd.Series([25, 30, 35, 40], name="Ages")  # Create a pandas Series from a list

print("ages: \n", ages)

names = pd.Series(["Alice", "Bob", "Charlie", "David"], name="Names")  # Create a pandas Series from a list of strings
print("names: \n", names)

"""DataFrame Creation"""

table = pd.concat([names, ages], axis=1)  # Concatenate the two Series along the columns to create a DataFrame, axis-1 is for columns
print("table: \n", table)

data = {
  "Motor": ["AC_Standard", "Servo", "Stepper", "DC_Brushless"],
  "Voltage": [220, 24, 12, 5],
  "Current": [5.5, 2.1, 1.8, 0.8],
  "Efficiency": [True, True, False, True]
}

df = pd.DataFrame(data)  # Create a DataFrame from a dictionary, where keys are column names and values are lists of column data
print("DataFrame: \n", df) 

"""Create a DataFrame from a CSV file"""

df = pd.read_csv("DataSources/automobile_parts.csv")  # Read a CSV file and create a DataFrame from it, this source can be a SQL data, excel file, json, etc.

print("DataFrame from CSV: \n", df)