import matplotlib.pyplot as plt
import matplotlib
import numpy as np
print(matplotlib.__version__)
3.3.2
import os, warnings
warnings.filterwarnings(action='ignore')
x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])
plt.plot(x, y,'o')
plt.title("스포츠 시청 데이터")
plt.xlabel("평균 혈압")
plt.ylabel("칼로리")
Text(0, 0.5, '칼로리')
from matplotlib import font_manager, rc
import platform
import matplotlib.pyplot as plt
path = "C:/Windows/Fonts/malgun.ttf"
if platform.system() == "Windows":
font_name = font_manager.FontProperties(fname=path).get_name()
rc('font', family=font_name)
elif platform.system()=="Darwin":
rc('font', family='AppleGothic')
else:
print("Unknown System")
matplotlib.rcParams['axes.unicode_minus'] = False
plt.plot(x, y,'o')
plt.title("스포츠 시청 데이터")
plt.xlabel("평균 혈압")
plt.ylabel("칼로리")
Text(0, 0.5, '칼로리')
x = np.array([70, 75, 80, 85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([220, 240, 260, 280, 300, 320, 340, 360, 380, 400, 420, 440])
plt.title("스포츠 시청 데이터")
plt.xlabel("평균 혈압")
plt.ylabel("칼로리")
plt.grid(color = 'green', linestyle = '--', linewidth = 0.2)
plt.plot(x, y)
[<matplotlib.lines.Line2D at 0x7ff8532322e0>]
import matplotlib.pyplot as plt
import numpy as np
plt.figure(figsize=(8,5))
#plot 1:
x = np.array([0, 1, 2, 3])
y = np.array([3, 8, 1, 10])
# 1행 2열, 첫번째
plt.subplot(1, 2, 1)
plt.plot(x,y)
plt.title("SALES")
#plot 2:
x = np.array([0, 1, 2, 3])
y = np.array([10, 20, 30, 40])
# 1행 2열, 두번째
plt.subplot(1, 2, 2)
plt.plot(x,y)
plt.title("INCOME")
plt.suptitle("MY SHOP")
plt.show()
x = np.array([51,71,18,17,21])
y = np.array([99,86,87,88,111])
plt.scatter(x, y)
plt.show()
x = np.array([51,71,18,17,21,17,2,9,4,11,12,9,6])
y = np.array([99,86,87,88,111,86,103,87,94,78,77,85,86])
plt.scatter(x, y, color='hotpink')
x = np.array([511,711,118,17,21,17,2,9,4,11,12,9,6])
y = np.array([99,86,87,88,111,86,103,87,94,78,77,85,86])
plt.scatter(x, y, color='#88c999')
plt.show()
x = np.random.randint(10, size=10)
y = np.random.randint(80,100, size=10)
print(x, y)
print( len(x), len(y) )
# 색에 숫자로 맵핑
colors = np.array([0, 10, 20, 30, 40, 45, 50, 55, 60, 100])
# 'viridis', 'plasma', 'inferno', 'magma', 'cividis'
plt.scatter(x, y, c=colors, cmap='magma', s=150)
plt.colorbar() # colormap 을 포함할 수 있다.
plt.show()
[1 7 8 7 7 6 8 9 1 7] [96 85 81 98 99 83 96 94 97 95] 10 10
x = np.random.randint(10, size=10)
y = np.random.randint(80,100, size=10)
sizes = np.random.randint(20,800, size=10)
colors = np.random.randint(0,100, size=10)
plt.scatter(x, y, s=sizes, alpha=0.5)
<matplotlib.collections.PathCollection at 0x7ff853ab0070>
plt.scatter(x, y, c=colors, s=sizes, alpha=0.5, cmap='nipy_spectral')
<matplotlib.collections.PathCollection at 0x7ff853b7bd90>
x = np.array(['A', 'B', 'C', 'D'])
y = np.array([30,20,40,90])
plt.bar(x, y)
<BarContainer object of 4 artists>
x = np.array(['A', 'B', 'C', 'D'])
y = np.array([30,20,40,90])
plt.barh(x, y)
<BarContainer object of 4 artists>
plt.barh(x, y, color = 'hotpink')
<BarContainer object of 4 artists>
plt.bar(x, y, width=0.2, color = 'hotpink')
<BarContainer object of 4 artists>
plt.barh(x, y, height=0.5, color = 'hotpink')
<BarContainer object of 4 artists>
# 정규 분포를 따르는 값. 100개 생성
x = np.random.normal(loc=170, scale=10, size=100) # 평균, 표준편차, 개수
print(x)
plt.hist(x)
[169.18289944 169.20378913 181.87210531 162.958344 186.18770878 162.01938502 172.00511717 165.00457592 187.33162633 173.20382454 171.01556891 176.16974934 161.90507245 174.78202122 181.48690225 156.73413916 180.52710102 170.35945237 177.16298178 186.04228516 175.48488464 162.28912731 170.81241519 185.48275047 165.83989134 153.41858721 162.2850581 159.99854674 171.8409495 175.57130177 163.70097711 181.60677387 182.2002332 184.62060102 175.67565404 162.83600108 171.73384 161.1408145 172.50397628 151.99515726 158.60401945 197.71026961 164.98561983 175.92983296 166.46216551 168.06413114 153.6762136 151.60522119 172.87059989 178.56415916 169.20643502 176.7476882 146.14339137 147.34788937 178.66842863 177.66268164 170.61542056 160.14447851 178.87908707 170.7815043 152.68410717 165.10404207 180.05921348 176.54081939 167.62304668 158.49502394 161.84356177 170.03805633 161.6328029 149.46812352 169.26746554 178.9920154 167.2174248 179.000543 148.90826069 157.98621823 154.73414702 179.20926258 176.19414028 193.71293601 172.91924484 170.0430715 171.65940844 182.0417987 162.39385234 171.07092831 187.31353307 159.74973601 173.00468558 174.83160007 165.58563166 171.87231101 158.93242929 160.22577493 172.99435985 168.21117551 167.8405029 169.81041797 162.92909215 175.22638897]
(array([ 4., 6., 10., 17., 22., 18., 15., 6., 0., 2.]),
array([146.14339137, 151.30007919, 156.45676702, 161.61345484,
166.77014267, 171.92683049, 177.08351831, 182.24020614,
187.39689396, 192.55358178, 197.71026961]),
<BarContainer object of 10 artists>)
y = np.array([30,20,35,10, 5])
plt.figure(figsize=(10,10))
plt.pie(y)
([<matplotlib.patches.Wedge at 0x7ff853e037f0>, <matplotlib.patches.Wedge at 0x7ff853e03cd0>, <matplotlib.patches.Wedge at 0x7ff8533e5820>, <matplotlib.patches.Wedge at 0x7ff85397c400>, <matplotlib.patches.Wedge at 0x7ff85397c880>], [Text(0.6465637441936395, 0.8899187180267094, ''), Text(-0.8899187482945419, 0.6465637025335369, ''), Text(-0.49938947630209474, -0.9801072140121813, ''), Text(0.8899187331606258, -0.6465637233635886, ''), Text(1.0864571863351944, -0.1720778377961938, '')])
plt.figure(figsize=(10,10))
y = np.array([30,20,35,10, 5])
addlbl = ['사과', '바나나', '딸기', '수박', '오렌지']
plt.pie(y, labels=addlbl)
([<matplotlib.patches.Wedge at 0x7ff853e124c0>, <matplotlib.patches.Wedge at 0x7ff853e129a0>, <matplotlib.patches.Wedge at 0x7ff853e12dc0>, <matplotlib.patches.Wedge at 0x7ff853e1f1c0>, <matplotlib.patches.Wedge at 0x7ff853e1f640>], [Text(0.6465637441936395, 0.8899187180267094, '사과'), Text(-0.8899187482945419, 0.6465637025335369, '바나나'), Text(-0.49938947630209474, -0.9801072140121813, '딸기'), Text(0.8899187331606258, -0.6465637233635886, '수박'), Text(1.0864571863351944, -0.1720778377961938, '오렌지')])
y = np.array([30,20,35,10, 5])
addlbl = ['사과', '바나나', '딸기', '수박', '오렌지']
plt.pie(y, labels = addlbl, startangle = 90)
([<matplotlib.patches.Wedge at 0x7ff8533c9f10>, <matplotlib.patches.Wedge at 0x7ff8533b6310>, <matplotlib.patches.Wedge at 0x7ff8533b6790>, <matplotlib.patches.Wedge at 0x7ff8533b6c10>, <matplotlib.patches.Wedge at 0x7ff8533e3100>], [Text(-0.8899187180267095, 0.6465637441936395, '사과'), Text(-0.6465637025335373, -0.8899187482945414, '바나나'), Text(0.9801072140121813, -0.4993894763020948, '딸기'), Text(0.6465637233635887, 0.8899187331606258, '수박'), Text(0.17207783779619384, 1.0864571863351942, '오렌지')])
y = np.array([30,20,35,10, 5])
addlbl = ['사과', '바나나', '딸기', '수박', '오렌지']
myexplode = [0.2, 0, 0, 0, 0.3]
plt.pie(y, labels = addlbl, explode = myexplode)
([<matplotlib.patches.Wedge at 0x7ff853e95b80>, <matplotlib.patches.Wedge at 0x7ff853ea30a0>, <matplotlib.patches.Wedge at 0x7ff853ea3520>, <matplotlib.patches.Wedge at 0x7ff853ea39a0>, <matplotlib.patches.Wedge at 0x7ff853ea3e20>], [Text(0.764120788592483, 1.0517221213042929, '사과'), Text(-0.8899187482945419, 0.6465637025335369, '바나나'), Text(-0.49938947630209474, -0.9801072140121813, '딸기'), Text(0.8899187331606258, -0.6465637233635886, '수박'), Text(1.3827636916993382, -0.21900815719515573, '오렌지')])
y = np.array([30,20,35,10, 5])
addlbl = ['사과', '바나나', '딸기', '수박', '오렌지']
myexplode = [0.2, 0, 0, 0, 0.3]
plt.pie(y, labels = addlbl, explode = myexplode)
plt.legend()
<matplotlib.legend.Legend at 0x7ff8533e3f10>
plt.figure(figsize=(10,10))
y = np.array([30,20,35,10, 5])
addlbl = ['사과', '바나나', '딸기', '수박', '오렌지']
myexplode = [0.2, 0, 0, 0, 0.3]
plt.pie(y, labels = addlbl)
plt.legend(title = "5가지 과일")
<matplotlib.legend.Legend at 0x7ff8533e3e80>
