cheat-sheets/matplotlib at master · praneethys/cheat-sheets · GitHub

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import matplotlib.pyplot as plt

* Scatter plot (basic)
    * plt.scatter(age, height)
    * plt.show()
* Scatter plot (advanced)
    * plt.figure(figsize=(8,6))
    * plt.title("Plot of Age vs. Height (in cms)\n",fontsize=20, fontstyle='italic')
    * plt.xlabel("Age (years)",fontsize=16)
    * plt.ylabel("Height (cms)",fontsize=16)
    * plt.grid (True)
    * plt.ylim(100,200)
    * plt.xticks([i*5 for i in range(12)],fontsize=15)
    * plt.yticks(fontsize=15)
    * plt.scatter(x=age,y=height,c='orange',s=150,edgecolors='k')
    * plt.text(x=15,y=105,s="Height increaes up to around \n20 years and then tapers off",fontsize=15, rotation=30, linespacing=2)
    * plt.text(x=22,y=185,s="Nobody has a height beyond 180 cm",fontsize=15)
    * plt.vlines(x=20,ymin=100,ymax=180,linestyles='dashed',color='blue',lw=3)
    * plt.hlines(y=180,xmin=0,xmax=55,linestyles='dashed',color='red',lw=3)
    * plt.legend(['Height in cms'],loc=2,fontsize=14)
    * plt.show()
* Bar chart
    * plt.figure(figsize=(12,4))
    * plt.title("People's weight in kgs",fontsize=16, fontstyle='italic')
    * plt.bar(x=people,height=weight, width=0.6,color='orange',edgecolor='k',alpha=0.6)
    * plt.xlabel("People",fontsize=15)
    * plt.xticks(fontsize=14,rotation=30)
    * plt.yticks(fontsize=14)
    * plt.ylabel("Weight (in kgs)",fontsize=15)
    * plt.show()
* Histogram
    * import numpy as np
    * plt.figure(figsize=(7,5))
    * plt.hist(weight,color='red',edgecolor='k', alpha=0.75,bins=5)
    * plt.title("Histogram of patient weight",fontsize=18)
    * plt.xlabel("Weight in kgs",fontsize=15)
    * plt.xticks(fontsize=15)
    * plt.yticks(fontsize=15)
    * plt.show()
* Simple line plot
    * days = np.arange(1,31)
    * candidate_A = 50+days*0.07+2*np.random.randn(30)
    * candidate_B = 50-days*0.1+3*np.random.randn(30)
    *
    * # Determine the minimum and maximum of stock prices
    * ymin = min(candidate_A.min(),candidate_B.min())
    * ymax = max(candidate_A.max(),candidate_B.max())
    * # Set style
    * plt.style.use('fivethirtyeight')
    *
    * plt.figure(figsize=(12,5))
    * plt.title("Time series plot of poll percentage over a month\n",fontsize=20, fontstyle='italic')
    * plt.xlabel("Days",fontsize=16)
    * plt.ylabel("Poll percentage (%)",fontsize=16)
    * plt.grid (True)
    * plt.ylim(ymin*0.98,ymax*1.02)
    * plt.xticks([i*2 for i in range(16)],fontsize=14)
    * plt.yticks(fontsize=15)
    *
    * # Main plotting function - plot (note markersize, lw (linewidth) arguments)
    * plt.plot(days,candidate_A,'o-',markersize=10,c='blue',lw=2)
    * plt.plot(days,candidate_B,'^-',markersize=10,c='green',lw=2)
    *
    * plt.legend(['Poll percentage of candidate A (%)', 'Poll percentage of candidate B (%)'],loc=2,fontsize=14)
    * plt.show()
* Box plot
    * plt.style.use('ggplot')
    *
    * # Note how to convert default numerical x-axis ticks to the list of string by passing two lists
    * plt.boxplot(x=[candidate_A,candidate_B],showmeans=True)
    * plt.grid(True)
    * plt.xticks([1,2],['Candidate A','Candidate B'])
    * #plt.yticks(fontsize=15)
    * plt.show()