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histogram.py
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histogram.py
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import srcs.ml_toolkit as ml
import pandas as pd
import sys
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('TkAgg')
def main():
filename = 'datasets/dataset_train.csv'
try:
ml.check_file(filename)
except AssertionError as e:
print(e)
sys.exit(1)
df = pd.read_csv(filename)
df = ml.drop_columns_by_name(df, ['Index'])
deviation = {}
for col in df.columns:
try:
df[col] = pd.to_numeric(df[col])
except ValueError:
continue
df[col] = ml.normalize_column(df[col])
std_var = ml.std_var(df[col])
deviation[col] = std_var
print(f'Standard deviation of {col} is {std_var}')
print(
f'Course with the lowest standard deviation is {min(deviation, key=deviation.get)}')
for col in df.columns:
try:
df[col] = pd.to_numeric(df[col])
except ValueError:
continue
plt.hist(df[df['Hogwarts House'] == 'Slytherin']
[col], alpha=0.5, label='Slytherin', color='green')
plt.hist(df[df['Hogwarts House'] == 'Gryffindor']
[col], alpha=0.5, label='Gryffindor', color='red')
plt.hist(df[df['Hogwarts House'] == 'Ravenclaw']
[col], alpha=0.5, label='Ravenclaw', color='blue')
plt.hist(df[df['Hogwarts House'] == 'Hufflepuff']
[col], alpha=0.5, label='Hufflepuff', color='yellow')
plt.xlabel(col)
plt.ylabel('Frequency')
plt.legend(loc='upper right')
plt.title(f'Histogram of {col}')
plt.show()
if __name__ == '__main__':
main()