BarGraph

from scipy import *
import scipy as scipy
import pandas as pd
import matplotlib.pyplot as plt 
import csv 
from numpy import *
  
data = 'bruh.csv'

df = pd.read_csv(data)

X = df['% Insufficient Sleep 2022'][1:]
Y = df['Mentally Unhealthy Days 2022'][1:]

columnlist = list(X)
columnlist2 = list(Y)
columnlist.sort()
columnlist2.sort()
            
#mental = data['Mentally Unhealthy Days 2020'][1:]
#sleep = data['% Insufficient Sleep 2022'][1:]

bins = linspace(30, 45, 7)

bin_means, bin_edges, bin_number = scipy.stats.binned_statistic(X,Y,statistic='mean', bins=7)

print("Bin_means: ", bin_means)
print("Bins: ", bins)
plt.bar(bins, bin_means, color='blue', width=2)


#plt.hist(X, bins=bins)
#plt.hist(binned_data, bins=bins, orientation='horizontal')

#plt.scatter(X, Y, color='blue', alpha=0.5)  # Adjust alpha for transparency
  
#plt.scatter(X, Y, color = 'g',s = 100) 
#plt.xticks(rotation = 25) 
plt.xlabel('% Insufficient Sleep') 
plt.ylabel('Mentally Unhealthy Days') 
plt.title('% Insufficient Sleep to Mentally Unhealthy Days 2022') 
plt.figure(figsize = (5,100))
plt.show()