图形以0.25的间隔开始，然后上升到0.5，随着时间的推移达到5。图形也开始变慢，我也不知道如何解决它。我尝试了plt.xticks，但是这迫使我删除了ax.clear，这导致了混乱。这段代码在一个名为Storage的类中，以消除任何混乱。数据很好（我很确定），只是动画。我试图显示平均年龄超过添加人数的数量。
这是一个附带项目，我试图在图形化和可视化表示数据方面变得更好。
from itertools import zip_longest
from collections import Counter
from collections import defaultdict
from matplotlib import pyplot as plt
import matplotlib.animation as animation
from matplotlib import style
from random import randint
import numpy as np
from scipy.interpolate import make_interp_spline, BSpline
rand = ['Smith', 'Johnson', 'Williams', 'Jones', 'Brown', 'Davis', 'Miller', 'Wilson', 'Moore', 'Taylor', 'Anderson', 'Thomas', 'Jackson', 'White', 'Harris', 'Martin', 'Thompson', 'Garcia', 'Martinez', 'Robinson', 'Clark', 'Rodriguez', 'Lewis', 'Lee', 'Walker', 'Hall', 'Allen', 'Young', 'Hernandez', 'King', 'Wright', 'Lopez', 'Hill', 'Scott', 'Green', 'Adams', 'Baker', 'Gonzalez', 'Nelson', 'Carter', 'Mitchell', 'Perez', 'Roberts', 'Turner', 'Phillips', 'Campbell', 'Parker', 'Evans', 'Edwards', 'Collins', 'Stewart', 'Sanchez', 'Morris', 'Rogers', 'Reed', 'Cook', 'Morgan', 'Bell', 'Murphy', 'Bailey', 'Rivera', 'Cooper', 'Richardson', 'Cox', 'Howard', 'Ward', 'Torres', 'Peterson', 'Gray', 'Ramirez', 'James', 'Watson', 'Brooks', 'Kelly', 'Sanders', 'Price', 'Bennett', 'Wood', 'Barnes', 'Ross', 'Henderson', 'Coleman', 'Jenkins', 'Perry', 'Powell', 'Long', 'Patterson', 'Hughes', 'Flores', 'Washington', 'Butler', 'Simmons', 'Foster', 'Gonzales', 'Bryant', 'Alexander', 'Russell', 'Griffin', 'Diaz', 'Hayes']
class Storage:
db = defaultdict(list)
vA = []
def __init__(self, name=None, age=None, location=None):
self.name = name
self.age = age
self.location = location
Storage.di = list(zip_longest(self.name, self.age, self.location))
for n, a, l in Storage.di:
Storage.db[n].append([a, l])
s = (list(Storage.db.values()))
for x in range(len(Storage.db)):
Storage.vA.append(s[x][0][0])
def lookup(self, name=None, age=None, loc=None):
n = ''
agelist = []
loclist = []
fLen = 0
if name:
n = Storage.db[name]
if age:
fLen += 1
for i in Storage.db.items():
for e in i[1]:
if e[0] == age:
agelist.append(i[0])
if loc:
fLen += 1
for i in Storage.db.items():
for e in i[1]:
if e[1] == loc:
loclist.append(i[0])
if n:
return f"Details for user(s) {name}: {n}"
mL = loclist + agelist
fL = Counter(mL)
count = Counter(fL.values())
mL = []
if count and list(fL.most_common(max(count.most_common())[1]))[0][1] == fLen:
for x in list(fL.most_common(max(count.most_common())[1])):
if [name, age, loc].count(None) == 2:
return loclist if loclist else agelist
if [age, loc] in Storage.db[x[0]]:
mL.append(x)
return mL if mL else "Unable to find recipients"
def graph(self):
plt.figure("Graph 1")
plt.title("Average age of individuals")
bins = [x for x in range(min(Storage.vA)-3,max(Storage.vA)+4)]
plt.hist(Storage.vA,bins,histtype='bar',rwidth=0.8,label='People',color='g')
plt.legend()
plt.show()
return "Age graph"
def mean(self,it=2):
style.use("fivethirtyeight")
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
m = []
dx = []
Storage.addObject(self, it)
for i in range(1,len(Storage.vA)):
m += [sum(Storage.vA[:i]) / len(Storage.vA[:i])]
x = np.linspace(1, it + len(ages), num=len(m))
xnew = np.linspace(x.min(), x.max(), 300)
spl = make_interp_spline(x, m, k=3)
dx = spl(xnew)
def animate(i):
ax.clear()
ax.plot(xnew[:i],dx[:i])
plt.xlabel("Amount of individuals added")
plt.ylabel("Average age")
ani = animation.FuncAnimation(fig, animate,interval=25, repeat=False,blit=False)
plt.title("Database statistics")
plt.show()
def addObject(self,amt):
for x in range(amt):
names.append(rand[randint(0,99)])
Storage.vA.append(randint(10,98))
def __str__(self):
return str(Storage.db)
def __len__(self):
return len(Storage.db)
names = ["Xavier", "Josh", "Bendy", "Aaron", "Eric", "Noah", "Aaron"]
ages = [15, 24, 34, 24, 15, 17]
loc = ["A", None, "B", "C", "D", "E", "F"]
st = Storage(names, ages, loc)
print(st)
print(st.lookup(loc="A", age=15))
print(len(st))
st.graph()
st.mean(20)
print(names)
print(ages)
我期望间隔和速度保持不变，但是间隔会逐渐增加，并且程序的时间会变慢（我猜测是由于必须重新绘制整个对象或间隔增加了）