在matplotlib中绘制数据之前在xaxis上绘制年份

Question

I want to pre plot xaxis so that it contains 5 years, which are 2012,2013,2014,2015 and 2016. Then say I have two sets of data, first one is two list:

years1 = ['2012','2013']
scores1 = [0.2,0.3]

second one is also two lists, but has different length from the first one:

years2 = ['2013','2014','2015']
scores2 = [0.5,-0.4,0.8]

How can I plot these two sets of data in one plot, using matplotlib in python? The xaxis is predetermined.

Answer 1

You can just call scatter twice:

import matplotlib.pyplot as plt

years1_string = ['2012','2013']
years2_string = ['2013','2014','2015']

years1 = [int(i) for i in years1_string]
scores1 = [0.2,0.3]

years2 = [int(i) for i in years2_string]
scores2 = [0.5,-0.4,0.8]

fig, ax = plt.subplots(1)
ax.set_xlim(2012,2016)
ax.set_xticks([2012,2013,2014,2015,2016])
ax.scatter(years1, scores1, c='r', edgecolor=None, label = 'One')
ax.scatter(years2, scores2, c='b', edgecolor=None, label = 'Two')
ax.legend()
fig.show()

Answer 2

You don't have to predetermine the xaxis. It will adjust automatically to the data. If you dont want that you can of course set the limits or ticks manually.

You may then convert your strings to integers for plotting:

import matplotlib.pyplot as plt

years1 = ['2012','2013']
scores1 = [0.2,0.3]
years2 = ['2013','2014','2015']
scores2 = [0.5,-0.4,0.8]

#convert string list to integer list
y1 = list(map(int, years1))
y2 = list(map(int, years2))

plt.plot(y1, scores1, marker="o")
plt.plot(y2, scores2, marker="o")
plt.xticks(y1+y2)

plt. show()

However, matplotlib is fine with plotting strings as long as they can be converted to a meaningful number or date. So the following works fine as well.

import matplotlib.pyplot as plt

years1 = ['2012','2013']
scores1 = [0.2,0.3]
years2 = ['2013','2014','2015']
scores2 = [0.5,-0.4,0.8]

plt.plot(years1, scores1, marker="o")
plt.plot(years2, scores2, marker="o")
plt.xticks(range(2012,2016))

plt. show()