Create main.py

Author: vcardui

Feb-Jun_2026/Bacteria_Analysis_with_Pandas/main.py

@@ -0,0 +1,117 @@
+# +----------------------------------------------------------------------------+
+# | CARDUI TECH v1.0.0
+# +----------------------------------------------------------------------------+
+# | Copyright (c) 2026 - 2026, CARDUITECH.COM (www.carduitech.com)
+# | Vanessa Reteguín <vanessa@reteguin.com>
+# | Released under the MIT license
+# | www.carduitech.com/license/
+# +----------------------------------------------------------------------------+
+# | Author.......: Vanessa Reteguín <vanessa@reteguin.com>
+# | First release: March 9, 2026
+# | Last update..: March 9, 2026
+# | WhatIs.......: Bacteria Analysis with Pandas - Main
+# +----------------------------------------------------------------------------++
+# ------------------------- Instructions -----------------------
+
+# ------------ Resources / Documentation involved -------------
+# documentation for Kaggle API *within* python?: https://stackoverflow.com/questions/55934733/documentation-for-kaggle-api-within-python
+# Kaggle CLI Documentation: https://github.com/Kaggle/kaggle-cli/blob/main/docs/README.md#authentication
+# Matplotlib List of named colors: https://matplotlib.org/stable/gallery/color/named_colors.html
+
+# Original dataset (Bacteria Dataset): https://www.kaggle.com/datasets/kanchana1990/bacteria-dataset
+
+# Inspiration from:
+# Bacteria Analysis: https://www.kaggle.com/code/osamaalfa/bacteria-analysis
+
+# ------------------------- Libraries -------------------------
+from kaggle.api.kaggle_api_extended import KaggleApi
+import os  # os.path.exists(path)
+import pandas as pd
+import matplotlib.pyplot as plt
+
+# -------------------------- Imports --------------------------
+
+
+# ------------------------- Functions -------------------------
+
+
+# ------------------------- Variables -------------------------
+datasetFolder = 'BacteriaDataset'
+datasetId = 'kanchana1990/bacteria-dataset'
+global datasetPath
+
+# --------------------------- Code ----------------------------
+try:
+    datasetPath = f'{datasetFolder}/{os.listdir(datasetFolder)[0]}'
+except FileNotFoundError or IndexError:
+    print(f'File not found. Downloading dataset at {datasetFolder}')
+    api = KaggleApi()
+    api.authenticate()
+    api.dataset_download_files(datasetId, path=datasetFolder, unzip=True)
+    print("File successfully downloaded")
+
+# Transform csv into a pandas dataframe
+BacteriaData = pd.read_csv(datasetPath)
+
+# Get data as a dictionary
+bacteria_dic = BacteriaData.to_dict()
+# print(bacteria_dic)
+
+# Example of data (4 rows)
+# print(BacteriaData.head())
+
+# A summary of our data
+# print(BacteriaData.describe())
+
+# Get Data in Columns
+# print(BacteriaData["Where Found"])
+# print(BacteriaData.Family)
+
+# Get Data in Row
+# print(BacteriaData[BacteriaData.Family == "Bacillaceae"])
+
+
+# Create a dataframe from scratch
+data_dict = {
+    "students": ["María", "Jaime", "Luis"],
+    "grades": [89, 91, 72]
+}
+data = pd.DataFrame(data_dict)
+# print(data)
+
+# Transform data into a new csv file
+data.to_csv("test_grades.csv")
+
+# Graph
+harmful_counts = BacteriaData["Harmful to Humans"].value_counts()
+# print(harmful_counts)
+
+# Creating the Pie Chart
+# plt.figure(figsize=(6, 6))
+# plt.pie(harmful_counts, labels=harmful_counts.index, autopct='%1.1f%%', colors=['mediumturquoise', 'lightcoral'])
+# plt.title("Percentage of Harmful vs Non-Harmful Bacteria")
+# plt.show()
+
+# Calculating the 10 Most Common Bacterial Families
+"""
+top_families = BacteriaData["Family"].value_counts().nlargest(10)
+
+plt.figure(figsize=(14, 5))
+plt.barh(top_families.index, top_families.values, color='mediumslateblue')
+plt.title('10 Most Common Bacterial Families')
+plt.xlabel('Number of Bacteria')
+plt.ylabel('Family')
+plt.show()
+"""
+
+# Calculating the 5 most common places bacteria was found
+"""
+top_places = BacteriaData["Where Found"].value_counts().nlargest(5)
+
+plt.figure(figsize=(15, 5))
+plt.barh(top_places.index, top_places.values, color='sandybrown')
+plt.title('5 Most Common Places Bacteria Was Found')
+plt.xlabel('Number of Bacteria')
+plt.ylabel('Place')
+plt.show()
+"""