41 lines
935 B
Python
41 lines
935 B
Python
#Matplotlib, pyplt and csv
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#Tony Crewe
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#Sep 2017 - updated Sep 2018
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import matplotlib.pyplot as plt
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import csv
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from matplotlib.ticker import MaxNLocator
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x=[]
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y=[]
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with open('weight 2018.csv', 'r', encoding = 'utf-8-sig') as csvfile:
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plots = csv.reader(csvfile)
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for data in plots:
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#get heading for x and y axes
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var1 = (data[0])
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var2 = (data[1])
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break
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for data in plots:
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#get values - add to x list and y list
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x.append(data[0])
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y.append(float(data[1]))
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ax = plt.subplot(1,1,1)
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ax.set_ylim([82, 96])
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ax.xaxis.set_major_locator(MaxNLocator(10))
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ax.spines['right'].set_color('none')
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ax.spines['top'].set_color('none')
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plt.plot(x,y, label = 'data loaded\nfrom csv file')
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plt.axhline(y = 85.5, color = 'orange', linestyle = '--', label = 'target')
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plt.xlabel(var1)
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plt.ylabel(var2)
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plt.title('weight loss from\n first quarter 2018')
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plt.legend()
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plt.show()
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