um_mat_transf_1

# Import libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

# Display all columns
pd.set_option('display.max_columns', None)

# Ignore warnings
import warnings
warnings.filterwarnings('ignore')

# Import Houseprice data from GitHub
df = pd.read_csv('https://github.com/jurand71/datasets/raw/master/HouseSalePriceCompetition/houseprice.csv')

# Determine numerical and positive variables and other than 'Id'
variables = []

for var in df.columns:
    
    if var not in ["Id","SalePrice"] and df[var].dtypes != "O":
        if np.sum(np.where(df[var] <= 0, 1, 0)) == 0:
            variables.append(var)
 
# Explore the distribution of selected variables

df[variables].hist(figsize=(15,15))
plt.show()