import matplotlib.pyplot as plt

month = [7, 8, 9, 10, 11, 12]
user = [456, 492, 578, 599, 670, 854]

plt.plot(month, user)
plt.title("Daehan company speeda net new customers")
plt.xlabel("Month")
plt.ylabel("User")
plt.grid()
plt.show()

import numpy as np
y = np.arange(len(month))
plt.figure(figsize=(10,10), dpi=100)
plt.subplot(2,2,1)
plt.bar(month, user)
plt.xlabel("Month")
plt.ylabel("User")
plt.title("Bar chart")

plt.subplot(2,2,2)
plt.plot(month, user)
plt.xlabel("Month")
plt.ylabel("User")
plt.title("Line chart")

plt.subplot(2,2,3)
plt.scatter(month, user)
plt.xlabel("Month")
plt.ylabel("User")
plt.title("Scatter chart")

plt.subplot(2,2,4)
plt.barh(y, user)
plt.yticks(y, month)
plt.xlabel("User")
plt.ylabel("Month")
plt.title("Horizontal Bar chart")

plt.show()


import matplotlib.pyplot as plt
import numpy as np

x1 = np.linspace(0, 2*np.pi*6, 200)
y1 = x1*np.sin(x1)

x2 = np.linspace(0, 2*np.pi*6, 200)
y2 = 20*np.cos(x2)

plt.figure(figsize=(8, 4), dpi=100)
plt.plot(x1, y1, color='r')
plt.plot(x2, y2, linestyle ='--', color='b')
plt.xlabel('x')
plt.grid()
plt.show()

import matplotlib.pyplot as plt
import numpy as np


rand_value = np.random.randint(1, 50, size=(30, 30))

plt.figure(figsize=(8, 4), dpi=100)
plt.scatter(rand_value[:, 1],rand_value[1, :] , color='r')
plt.xlabel('x')
plt.ylabel('y')
plt.grid()
plt.show()

import matplotlib.pyplot as plt
import numpy as np


mu1, sigma1 = 25, 6
mu2, sigma2 = 25, 3
Gauss_x1 = mu1 + sigma1*np.random.randn(1000)
Gauss_y1 = mu1 + sigma1*np.random.randn(1000)

Gauss_x2 = mu1 + sigma1*np.random.randn(1000)
Gauss_y2 = mu2 + sigma2*np.random.randn(1000)

Gauss_x3 = mu2 + sigma2*np.random.randn(1000)
Gauss_y3 = mu1 + sigma1*np.random.randn(1000)

plt.figure(figsize=(18, 6))
plt.subplot(1,3,1)
plt.scatter(Gauss_x1, Gauss_y1, alpha=0.4)
plt.xlim(0, 50)
plt.ylim(0, 50)
plt.xlabel('x')
plt.ylabel('y')

plt.subplot(1,3,2)
plt.scatter(Gauss_x2, Gauss_y2, color='r', alpha=0.4)
plt.xlim(0, 50)
plt.ylim(0, 50)
plt.xlabel('x')
plt.ylabel('y')

plt.subplot(1,3,3)
plt.scatter(Gauss_x3, Gauss_y3, color='g', alpha=0.4)
plt.xlim(0, 50)
plt.ylim(0, 50)
plt.xlabel('x')
plt.ylabel('y')
plt.show()


import matplotlib.pyplot as plt
import numpy as np

length_d = [77, 78, 85, 93, 73, 77, 73, 80]
height_d = [25, 28, 29, 30, 21, 22, 17, 35]

length_s = [75, 77, 86, 86, 79, 83, 83, 83]
height_s = [56, 57, 50, 53, 60, 53, 49, 61]

length_m = [34, 38,38, 41, 30, 37, 41, 35]
height_m = [22, 25, 19, 30, 21, 24, 28, 18]

plt.figure(figsize=(12, 4), dpi=100)
plt.subplot(131)
plt.scatter(length_d,height_d ,marker='s' ,color='r')
plt.title("Dachshund size")
plt.xlabel("Length")
plt.ylabel("Height")
plt.grid()

plt.subplot(132)
plt.scatter(length_s,height_s ,marker='^', color='b')
plt.title("Samoyed size size")
plt.xlabel("Length")
plt.ylabel("Height")
plt.grid()

plt.subplot(133)
plt.scatter(length_m,height_m ,marker='s', color='g')
plt.title("Maltese size")
plt.xlabel("Length")
plt.ylabel("Height")
plt.grid()
plt.show()

import matplotlib.pyplot as plt
import numpy as np


plt.figure(figsize=(8, 4), dpi=100)
plt.scatter(length_d,height_d ,marker='s' ,color='r', label="Dachshund")
plt.scatter(length_s,height_s ,marker='^', color='b', label="Samoyed")
plt.scatter(length_m,height_m ,marker='s', color='g', label="Maltese")
plt.title("Dog size")
plt.xlabel("Length")
plt.ylabel("Height")
plt.legend()
plt.grid()

import math
import numpy as np
import matplotlib.pyplot as plt

def my_fuc1(x):
  return 1/(math.factorial(x))
def my_fuc2(x):
  return 1/2**(x-1)
def my_fuc3(x):
  return 1/x**2

n = 10000

series1_sum = np.zeros(n)
series2_sum = np.zeros(n)
series3_sum = np.zeros(n)

for i in range(n):
  if i==0:
    series1_sum[i] = my_fuc1(i+1)
    series2_sum[i] = my_fuc2(i+1)
    series3_sum[i] = my_fuc3(i+1)
  else:
    series1_sum[i] = series1_sum[i-1] + my_fuc1(i+1)
    series2_sum[i] = series2_sum[i-1] + my_fuc2(i+1)
    series3_sum[i] = series3_sum[i-1] + my_fuc3(i+1)

x = np.linspace(1, n, n)
plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series1_sum[:], '.-')
plt.xlabel('n')
plt.ylabel("Sum")
plt.ylim(0,3)
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{k!}$")
plt.grid()

plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series2_sum[:], '.-')
plt.xlabel('n')
plt.ylabel("Sum")
plt.ylim(0,3)
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{2^k}$")
plt.grid()

plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series3_sum[:], '.-')
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{k^2}$")
plt.xlabel("n")
plt.ylabel("Sum")
plt.ylim(0,3)
plt.grid()
plt.show()

x = np.linspace(1, n, n)
plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series1_sum[:], '.-')
plt.xlabel('n')
plt.ylabel("Sum")
plt.xlim(-1,100)
plt.ylim(0,3)
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{k!}$")
plt.grid()

plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series2_sum[:], '.-')
plt.xlabel('n')
plt.ylabel("Sum")
plt.xlim(-1,100)
plt.ylim(0,3)
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{2^k}$")
plt.grid()

plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series3_sum[:], '.-')
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{k^2}$")
plt.xlabel("n")
plt.ylabel("Sum")
plt.xlim(-1,100)
plt.ylim(0,3)
plt.grid()
plt.show()

x = np.linspace(1, n, n)
plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series1_sum[:], '.-')
plt.xlabel('n')
plt.ylabel("Sum")
plt.xlim(-10,1000)
plt.ylim(0,3)
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{k!}$")
plt.grid()

plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series2_sum[:], '.-')
plt.xlabel('n')
plt.ylabel("Sum")
plt.xlim(-10,1000)
plt.ylim(0,3)
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{2^k}$")
plt.grid()

plt.figure(figsize=(6, 3), dpi=100)
plt.plot(x[:], series3_sum[:], '.-')
plt.title(r"$\sum_{k=1}^{n}\quad\frac{1}{k^2}$")
plt.xlabel("n")
plt.ylabel("Sum")
plt.xlim(-10,1000)
plt.ylim(0,3)
plt.grid()
plt.show()