sauravmishra1710

import pandas as pd

# Load your CSV file
df = pd.read_csv('your_file.csv')

# Assuming your category columns are named 'cat1', 'cat2', ..., 'cat7'
category_columns = ['cat1', 'cat2', 'cat3', 'cat4', 'cat5', 'cat6', 'cat7']

# Create a new column 'category' based on the category columns
df['category'] = df[category_columns].idxmax(axis=1)

sauravmishra1710

class DisplayBinaryTree:
    
    """
    Utility class to display a binary tree.
    
    Referrence:
          https://stackoverflow.com/a/54074933/599456
    
    """
    def __init__(self):

sauravmishra1710

************************************************************************************************************
'''highlight the maximum in a Series or DataFrame'''  
# For more on dataframe styling refer - https://www.kaggle.com/nxrprime/styling-data-frames-covid-19-vs-conferences
************************************************************************************************************

def highlight_max(data, color='red'):
    attr = 'background-color: {}'.format(color)
    if data.ndim == 1:  # Series from .apply(axis=0) or axis=1
        is_max = data == data.max()
        return [attr if v else '' for v in is_max]

sauravmishra1710

import glob
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
%matplotlib inline

images = []
for img_path in glob.glob('./Data/1/*.png'):
    images.append(mpimg.imread(img_path))

plt.figure(figsize=(20,10))

sauravmishra1710

######################################################################################################
Display markdown like formtted text in notebook via code
######################################################################################################
from IPython.display import Markdown

'''Display markdown formatted output like bold, italic bold etc.'''
def formatted_text(string):
    display(Markdown(string))
    
######################################################################################################