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Author: ganeshkavhar

About.md

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+Developer ganesh kavhar https://ganeshmkavhar.000webhostapp.com/

areaplot.py

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+import matplotlib.pyplot as plt
+days = [1,2,3,4,5]
+  
+ sleeping =[7,8,6,11,7]
+ eating = [2,3,4,3,2]
+ working =[7,8,7,2,2]
+ playing = [8,5,7,8,13]
+  
+ plt.plot([],[],color='m', label='Sleeping', linewidth=5)
+ plt.plot([],[],color='c', label='Eating', linewidth=5)
+ plt.plot([],[],color='r', label='Working', linewidth=5)
+ plt.plot([],[],color='k', label='Playing', linewidth=5)
+  
+ plt.stackplot(days, sleeping,eating,working,playing, colors=['m','c','r','k'])
+  
+ plt.xlabel('x')
+ plt.ylabel('y')
+ plt.title('Stack Plot')
+ plt.legend()
+ plt.show()

ggplot.py

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+from matplotlib import pyplot as plt
+from matplotlib import style
+ 
+style.use('ggplot')
+x = [5,8,10]
+y = [12,16,6]
+x2 = [6,9,11]
+y2 = [6,15,7]
+plt.plot(x,y,'g',label='line one', linewidth=5)
+plt.plot(x2,y2,'c',label='line two',linewidth=5)
+plt.title('Epic Info')
+plt.ylabel('Y axis')
+plt.xlabel('X axis')
+plt.legend()
+plt.grid(True,color='k')
+plt.show()

graph.py

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+from matplotlib import pyplot as plt
+ 
+plt.bar([0.25,1.25,2.25,3.25,4.25],[50,40,70,80,20],
+label="BMW",width=.5)
+plt.bar([.75,1.75,2.75,3.75,4.75],[80,20,20,50,60],
+label="Audi", color='r',width=.5)
+plt.legend()
+plt.xlabel('Days')
+plt.ylabel('Distance (kms)')
+plt.title('Information')
+plt.show()

histogram.py

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+import matplotlib.pyplot as plt
+population_age = [22,55,62,45,21,22,34,42,42,4,2,102,95,85,55,110,120,70,65,55,111,115,80,75,65,54,44,43,42,48]
+bins = [0,10,20,30,40,50,60,70,80,90,100]
+plt.hist(population_age, bins, histtype='bar', rwidth=0.8)
+plt.xlabel('age groups')
+plt.ylabel('Number of people')
+plt.title('Histogram')
+plt.show()

multiple-plot.py

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+import numpy as np
+import matplotlib.pyplot as plt
+ 
+def f(t):
+    return np.exp(-t) * np.cos(2*np.pi*t)
+t1 = np.arange(0.0, 5.0, 0.1)
+t2 = np.arange(0.0, 5.0, 0.02)
+plt.subplot(221)
+plt.plot(t1, f(t1), 'bo', t2, f(t2))
+plt.subplot(222)
+plt.plot(t2, np.cos(2*np.pi*t2))
+plt.show()

piechart.py

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+import matplotlib.pyplot as plt
+ 
+days = [1,2,3,4,5]
+ 
+sleeping =[7,8,6,11,7]
+eating = [2,3,4,3,2]
+working =[7,8,7,2,2]
+playing = [8,5,7,8,13]
+slices = [7,2,2,13]
+activities = ['sleeping','eating','working','playing']
+cols = ['c','m','r','b']
+ 
+plt.pie(slices,
+  labels=activities,
+  colors=cols,
+  startangle=90,
+  shadow= True,
+  explode=(0,0.1,0,0),
+  autopct='%1.1f%%')
+ 
+plt.title('Pie Plot')
+plt.show()

ploting.py

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+from matplotlib import pyplot as plt
+  
+ #Plotting to our canvas
+  
+ plt.plot([1,2,3],[4,5,1])
+  
+ #Showing what we plotted
+  
+ plt.show()

pyplot.py

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+from matplotlib import pyplot as plt
+ 
+x = [5,2,7]
+y = [2,16,4]
+plt.plot(x,y)
+plt.title('Info')
+plt.ylabel('Y axis')
+plt.xlabel('X axis')
+plt.show()

scatter_plot.py

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+import matplotlib.pyplot as plt
+x = [1,1.5,2,2.5,3,3.5,3.6]
+y = [7.5,8,8.5,9,9.5,10,10.5]
+ 
+x1=[8,8.5,9,9.5,10,10.5,11]
+y1=[3,3.5,3.7,4,4.5,5,5.2]
+ 
+plt.scatter(x,y, label='high income low saving',color='r')
+plt.scatter(x1,y1,label='low income high savings',color='b')
+plt.xlabel('saving*100')
+plt.ylabel('income*1000')
+plt.title('Scatter Plot')
+plt.legend()
+plt.show()