Python Practice

Author: TaeYounKwon

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice10_graphTitle.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#Graph title and label
+plt.plot(x, np.sin(x))
+plt.title('A Sine Curve')
+plt.xlabel('x')
+plt.ylabel('sin(x)')
+
+#Save as .png file
+fig.savefig('my_figure10.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice11_elementLabel copy.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#element labeling
+plt.plot(x, np.sin(x), '-g', label='sin(x)')
+plt.plot(x, np.cos(x), ':b', label='cos(x)')
+plt.axis('equal')
+
+#show the line name on the right
+plt.legend()
+
+#Save as .png file
+fig.savefig('my_figure11.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice12_dotCustomize copy.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+
+x = np.linspace(0,10,30)
+y = np.sin(x)
+fig = plt.figure()
+
+
+
+#choose random dot shape to draw the points in the random location
+rng = np.random.RandomState(0)
+for marker in ['o',',','x','+','v','<','>','s','d']:
+    plt.plot(rng.rand(5),rng.rand(5),marker, label='marker={0}'.format(marker))
+    plt.legend()
+    plt.xlim(0,1.8)
+    
+#Save as .png file
+fig.savefig('my_figure12.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice13_simplized.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+
+x = np.linspace(0,10,30)
+y = np.sin(x)
+fig = plt.figure()
+
+
+
+#draw graph with the simple instance
+plt.subplot(3,1,1)
+plt.plot(x,y,'-ok',color='white')
+
+plt.subplot(3,1,2)
+plt.plot(x, y, '-p',color='blue', markersize=15, linewidth=4, markerfacecolor='white', markeredgecolor='yellow',markeredgewidth='2')
+
+plt.subplot(3,1,3)
+plt.scatter(x,y,marker='o')
+
+#Save as .png file
+fig.savefig('my_figure13.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice2_graphSection1.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+plt.subplot(2,1,1)
+plt.plot(x,np.sin(x),'-')
+plt.subplot(2,1,2)
+plt.plot(x,np.cos(x),'--')
+
+#Save as .png file
+fig.savefig('my_figure2.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice3_graphSection2.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+plt.subplot(2,1,1)
+plt.plot(x, np.sin(x))
+plt.subplot(2,1,2)
+plt.plot(x, np.cos(x))
+plt.subplot(2,2,1)
+plt.plot(x, np.sin(x))
+plt.subplot(2,2,2)
+plt.plot(x, np.cos(x))
+
+#Save as .png file
+fig.savefig('my_figure3.png')
+
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice4_graph.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+ax = plt.axes()
+
+x = np.linspace(0,10,100)
+ax.plot(x, np.sin(x))
+
+#Save as .png file
+fig.savefig('my_figure4.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice5_lineColor.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#Different Color test
+plt.plot(x, np.sin(x-0), color='r')        
+plt.plot(x, np.sin(x-1), color='#ffdd44') # 16bit rgb
+plt.plot(x, np.sin(x-2), color=(1.0, 0.2, 0.3)) # rgb value
+plt.plot(x, np.sin(x-3), color='y') # w, b, g, r, y or etc
+plt.plot(x, np.sin(x-4), color='blue') # blue, red, green, purple or etc
+plt.plot(x, np.sin(x-5), color='0.75') #color between white&black 0-1
+
+#Save as .png file
+fig.savefig('my_figure5.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice6_lineType copy.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#Different type of line test
+plt.plot(x, x+0, linestyle='solid')
+plt.plot(x, x+1, linestyle='dashed')
+plt.plot(x, x+2, linestyle='dotted')
+plt.plot(x, x+3, linestyle='dashdot')
+
+plt.plot(x, x+4, linestyle='-')
+plt.plot(x, x+5, linestyle='--')
+plt.plot(x, x+6, linestyle=':')
+plt.plot(x, x+7, linestyle='-.')
+
+#Save as .png file
+fig.savefig('my_figure6.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice7_lineType&Color.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#Different type of line&color test
+plt.plot(x, x+0, '-g')
+plt.plot(x, x+1, '--c')
+plt.plot(x, x+2, ':w')
+plt.plot(x, x+3, '-.r')
+
+#Save as .png file
+fig.savefig('my_figure7.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice8_limitRange.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#Different graph range or starting point
+plt.plot(x, np.sin(x))
+
+plt.xlim(10, 0)
+plt.ylim(1.5,-1.5)
+#or
+#plt.axis([-1,11,-1.5,1.5])
+
+#Save as .png file
+fig.savefig('my_figure8.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice9_size.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+
+#graph size test
+plt.subplot(2,1,1)
+plt.plot(x, np.sin(x))
+plt.axis('tight')
+plt.subplot(2,1,2)
+plt.plot(x, np.sin(x))
+plt.axis('equal')
+
+#Save as .png file
+fig.savefig('my_figure9.png')
+
+plt.show()

Python_Matplotlib Graph Practice/Matplotlib_Basic_Practice_graph.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use('dark_background')
+# x range between 0~10, there is 100 elements in between
+x = np.linspace(0,10,100)
+fig = plt.figure()
+plt.plot(x,np.sin(x),'-')
+plt.plot(x,np.cos(x),'--')
+
+#Save as .png file
+# fig.savefig('my_figure.png')
+
+# save filetype info
+# print(fig.canvas.get_supported_filetypes())
+# {
+#     'eps': 'Encapsulated Postscript',
+#     'jpg': 'Joint Photographic Experts Group',
+#     'jpeg': 'Joint Photographic Experts Group',
+#     'pdf': 'Portable Document Format',
+#     'pgf': 'PGF code for LaTeX',
+#     'png': 'Portable Network Graphics', 
+#     'ps': 'Postscript', 
+#     'raw': 'Raw RGBA bitmap', 
+#     'rgba': 'Raw RGBA bitmap', 
+#     'svg': 'Scalable Vector Graphics', 
+#     'svgz': 'Scalable Vector Graphics', 
+#     'tif': 'Tagged Image File Format', 
+#     'tiff': 'Tagged Image File Format', 
+#     'webp': 'WebP Image Format'
+#     }
+
+plt.show()

Python_Matplotlib Graph Practice/my_figure.png

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+import numpy as np
+#Check array in numpy
+arr = np.array([1,2,3,4,5])
+print(arr)
+print(type(arr))
+
+#set up array with default zero value
+arr = np.zeros((3,3))
+print(arr)
+
+#create 4 by 4 array with empty value 
+##Since, didn't set up as 0, 
+#random value could be in depends on the memroy location
+arr = np.empty((4,4))
+print (arr)
+
+#create array filled with 1
+arr = np.ones((3,3))
+print(arr)
+
+#내가 자주쓰던 배열
+# tmp = []
+# for i in range(3):
+#     tmp.append([])
+#     for j in range(3):
+#         tmp[i].append(j)
+# print(tmp)
+# 출력값 : [[0, 1, 2], [0, 1, 2], [0, 1, 2]]    
+
+# [[]] <- 이거 개수에 따라 차원 수를 알 수 있음 (현제 2차원)    
+
+arr=np.arange(10)
+print(arr)
+
+arr=np.array([[1,2,3],[4,5,6]])
+
+print(arr.shape)
+print(arr.ndim)
+print(arr.dtype)
+arr_float = arr.astype(np.float64)
+

Python_Matplotlib Graph Practice/my_figure10.png

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+import numpy as np
+
+#Calculation of ndarray 
+arr1 = np.array([[1,2],[3,4]])
+arr2 = np.array([[5,6],[7,8]])
+
+#ndarray adding up
+arr_added = arr1 + arr2
+arr_added2 = np.add(arr1,arr2)
+
+# print(arr_added)
+# print(arr_added2)
+
+#ndarray multiply
+arr_mult = arr1 * arr2
+arr_mult2 = np.multiply(arr1, arr2)
+
+# print(arr_mult)
+# print(arr_mult2)
+
+#ndarray array slicing
+arr = np.array([[1,2,3],[4,5,6],[7,8,9]])
+# 1,2,3
+# 4,5,6
+# 7,8,9
+arr_sliced = arr[:2,1:3]
+
+# 2,3
+# 5,6
+#arr[세로 값:가로 값]
+# print(arr)
+# print('-----------')
+# print(arr_sliced)
+
+#앞에는 세로값, 뒤에는 가로값
+arr_sliced2 = arr[[0,1,2],[2,0,1]]
+# print(arr_sliced2)
+
+
+#Returns True or False
+inx = arr>3
+print(inx)
+
+#Print if arr>3
+print(arr[inx])