pandas 在同一图上设置两条线的动画

nue99wik  于 2023-05-05  发布在  其他
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我试图在同一个情节上动画两条线。在四处寻找之后,我偶然发现了似乎让我走上正轨的this post。当我运行这段代码时,停滞的图形显示没有动画,给我一个错误AttributeError: 'AxesSubplot' object has no attribute 'set_data'。我查了set_data,它说它接受:2D阵列(行为x,y)或两个1D阵列。动画是否不工作,因为我将line1line2指定给绘图而不是二维数组?我会很感激任何帮助,让这些线上我的情节动画,我已经尝试,并试图无济于事。谢谢!

fig, ax = plt.subplots(figsize=(16,8))

#Plot Lines
line1 = sns.lineplot('game_seconds_remaining', 'away_wp', data=game, color='#4F2683',linewidth=2)
line2 = sns.lineplot('game_seconds_remaining', 'home_wp', data=game, color='#869397',linewidth=2)
#Add Fill
ax.fill_between(game['game_seconds_remaining'], 0.5, game['away_wp'], where=game['away_wp']>.5, color = '#4F2683',alpha=0.3)
ax.fill_between(game['game_seconds_remaining'], 0.5, game['home_wp'], where=game['home_wp']>.5, color = '#869397',alpha=0.3)

#Plot Aesthetics - Can Ignore
plt.ylabel('Win Probability %', fontsize=16)
plt.xlabel('', fontsize=16)
plt.axvline(x=900, color='white', alpha=0.7)
plt.axvline(x=1800, color='white', alpha=0.7)
plt.axvline(x=2700, color='white', alpha=0.7)
plt.axhline(y=.50, color='white', alpha=0.7)
plt.suptitle('Minnesota Vikings @ Dallas Cowboys', fontsize=20, style='italic',weight='bold')
plt.title('Min 28, DAL 24 - Week 10 ', fontsize=16, style = 'italic',weight='semibold')

#Labels (And variable assignment for animation below)
x = ax.set_xticks(np.arange(0, 3601,900))
y1 = game['away_wp']
y2 = game['home_wp']
plt.gca().invert_xaxis()
x_ticks_labels = ['End','End Q3','Half','End Q1','Kickoff']
ax.set_xticklabels(x_ticks_labels, fontsize=12)

#Animation - Not working
def update(num, x, y1, y2, line1, line2):
    line1.set_data(x[:num], y1[:num])
    line2.set_data(x[:num], y2[:num])
    return [line1,line2]

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y1, y2, line1, line2],
                  interval=295, blit=False)
flvlnr44

flvlnr441#

python 3.11.2pandas 2.0.0matplotlib 3.7.1seaborn 0.12.2中测试

看起来sns给出了AxesSublot,你必须为这个Axes得到line(s)

ax1 = sns.lineplot(...)
ax2 = sns.lineplot(...)

line1 = ax1.lines[0]
line2 = ax2.lines[1]

或者(因为两行都在同一个Axes上)

sns.lineplot(x=x, y='away_wp', data=game)
sns.lineplot(x=x, y='home_wp', data=game)

ax = plt.gca()

line1 = ax.lines[0]
line2 = ax.lines[1]

编辑:

Google Colab需要

from matplotlib import rc
rc('animation', html='jshtml')

# code without `plt.show()`

ani   # display it

来源:Embedding Matplotlib Animations in Python (google colab notebook)
随机数据的最小工作代码

import random
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import animation
from matplotlib import rc
rc('animation', html='jshtml')

game = pd.DataFrame({
    'away_wp': [random.randint(-10,10) for _ in range(100)],
    'home_wp': [random.randint(-10,10) for _ in range(100)],
    'game_seconds_remaining': list(range(100)),
})

x = range(len(game))
y1 = game['away_wp']
y2 = game['home_wp']

fig = plt.gcf()
ax = plt.gca()

sns.lineplot(x='game_seconds_remaining', y='away_wp', data=game)
sns.lineplot(x='game_seconds_remaining', y='home_wp', data=game)

line1 = ax.lines[0]
line2 = ax.lines[1]

ax.fill_between(game['game_seconds_remaining'], 0.5, game['away_wp'], where=game['away_wp']>.5, color = '#4F2683',alpha=0.3)
ax.fill_between(game['game_seconds_remaining'], 0.5, game['home_wp'], where=game['home_wp']>.5, color = '#869397',alpha=0.3)
#print(ax.collections)

def update(num, x, y1, y2, line1, line2):
    line1.set_data(x[:num], y1[:num])
    line2.set_data(x[:num], y2[:num])

    ax.clear()
    ax.fill_between(game['game_seconds_remaining'][:num], 0.5, game['away_wp'][:num], where=game['away_wp'][:num]>.5, color = '#4F2683',alpha=0.3)
    ax.fill_between(game['game_seconds_remaining'][:num], 0.5, game['home_wp'][:num], where=game['home_wp'][:num]>.5, color = '#869397',alpha=0.3)

    return line1,line2

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y1, y2, line1, line2], interval=295, blit=False)

#plt.show()

ani   # display it

编辑:

没有seaborn,只有plt.plot()
在开始时,我创建空行line1, = plt.plot([], [])

import random
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import animation
from matplotlib import rc
rc('animation', html='jshtml')

game = pd.DataFrame({
    'away_wp': [random.randint(-10,10) for _ in range(100)],
    'home_wp': [random.randint(-10,10) for _ in range(100)],
    'game_seconds_remaining': list(range(100)),
})

x = range(len(game))
y1 = game['away_wp']
y2 = game['home_wp']

fig = plt.gcf()
ax = plt.gca()

# empty lines at start
line1, = plt.plot([], [])
line2, = plt.plot([], [])

# doesn't draw fill_between at start

# set limits 
ax.set_xlim(0, 100)
ax.set_ylim(-10, 10)

def update(num, x, y1, y2, line1, line2):
    line1.set_data(x[:num], y1[:num])
    line2.set_data(x[:num], y2[:num])
    # autoscale 
    #ax.relim()
    #ax.autoscale_view()

    ax.clear()
    ax.fill_between(game['game_seconds_remaining'][:num], 0.5, game['away_wp'][:num], where=game['away_wp'][:num]>.5, color = '#4F2683',alpha=0.3)
    ax.fill_between(game['game_seconds_remaining'][:num], 0.5, game['home_wp'][:num], where=game['home_wp'][:num]>.5, color = '#869397',alpha=0.3)
    
    return line1,line2

ani = animation.FuncAnimation(fig, update, len(x), fargs=[x, y1, y2, line1, line2], interval=295, blit=False)

#plt.show()

ani

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