import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

df = pd.read_csv("bogu.csv",sep = ";")

plt.scatter(df.resim,df.katsayi)
plt.xlabel("resim")
plt.ylabel("katsayi")
#plt.show()
if df.resim[1:37].values:
    plt.scatter(x,color="red")


#%%   sklearn

from sklearn.linear_model import LinearRegression
linear_reg=LinearRegression()
x = df.iloc[1:,0].values.reshape(-1,1)
y = df.iloc[1:,1].values.reshape(-1,1)
x = x.astype(np.float)
y = y.astype(np.float)
linear_reg.fit(x,y)
#array=np.array([0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]).reshape(-1,1) # deneyim
#plt.scatter(x,y)
y_head=linear_reg.predict(x)
plt.plot(x,y_head,color="red",label="linear")