平均, 中间 = d.mean(), d.median()
def pieOf(ser, *fps, **kwps):
return p.pie(ser, *fps, **kwps, labels=ser.index) 总分的 pie
zp = d.sum()
del zp['姓名'], zp['总分']
zp = zp.astype(int)https://matplotlib.org/3.1.1/gallery/pyplots/pyplot_two_subplots.html#sphx-glr-gallery-pyplots-pyplot-two-subplots-py
https://matplotlib.org/3.1.1/gallery/subplots_axes_and_figures/align_labels_demo.html#sphx-glr-gallery-subplots-axes-and-figures-align-labels-demo-py
https://matplotlib.org/3.1.1/gallery/subplots_axes_and_figures/align_labels_demo.html#sphx-glr-gallery-subplots-axes-and-figures-align-labels-demo-py
import numpy as n
import matplotlib.pyplot as p
def f(x): return n.cos(2* x*n.pi) *n.exp(-x) xs0 = n.arange(0.0, 5.0, 0.1)
xs1 = n.arange(0.0, 5.0, 0.02) p.figure()
p.subplot(211) # 2, r, c, ....
p.plot(xs0, f(xs0), marker='o', color='tab:blue')
p.plot(xs1, f(xs1), color='tab:red')
p.subplot(212)
p.plot(xs1, 2* xs1*n.pi, linestyle='--', color='tab:green')
p.show()语 = DataFrame()🤔 发现不能这么用……
语['A'] = d['语文1']
语['B'] = d['语文2']
外 = DataFrame()
for 号 in range(1,4):
外[chr(ord('A')+号)] = d['英语'+str(号)]
p.figure()
p.subplot(311)
pieOf(语.mean())
p.subplot(321)
pieOf(语.median())
p.subplot(331)
pieOf(语.sum())
艹 = DataFrame() # 其实本来用 Serie 就够了……
艹['外'] = [外.mean().mean()]
艹['语'] = [(语.A + 语.B).mean()]
艹['数'] = [d.数学.mean()]
pieOf(艹.sum())XKCB 风格的 boxplot, hist, plot，我们可以看到，其实数学才是学生在竞争中失利最大的黑手！我们要好好…… 补习数学（绝望
z = d['总分'] # d['总分'] = d.sum()
英语=英语/3 # 英语成绩是三次考试组合的，先求平均
p.scatter(语文, 英语)
p.scatter(语文+英语,数学)
p.scatter(数学,z)
p.scatter(语文+英语,z)