使用 Python 的 Matplotlib 如何将特定点的注释更新与我的数据集对齐，因为它是使用 FuncAnimation 绘制的？

Question

除了放置点注释和更新图例的时间与点出现在图表上的时间不一致外，我有以下代码可以完美运行。我如何让它们对齐？

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib import style
import matplotlib.patches as mpatches

style.use('ggplot')

x_data = [1,5,7,9,11,12,14,15,27,29,37,39,45,47,52,53,57,58,61,62,66,80,82,83,84,85,90,91,93,96,98,105,109,110,111,113,114,116,117,120,122,123,127,134,136,138,140,141,144,160,161,162,165,174,176,179,183,184,185,186,190,191,192,193,194,195,199,200,204]
y_data = [50,55,40,30,31,20,21,18,25,21,15,18,20,24,27,30,32,35,37,38,30,11,13,10,10,14,16,18,19,17,14,9,9,4,5,5,6,5,7,3,6,8,10,13,15,12,10,13,8,4,3,5,4,5,7,6,4,8,10,12,10,12,12,12,12,15,17,18,18]
annotations = ['','','Pasted Value','Cut Value','','Pasted Cut Value','','Abnormal Pause','','Abnormal Pause','Out of Order Field Interaction','','','','','','','','','','Window Exit','Window Entry','','Pasted Value','Out of Order Field Interaction','','','Irregular Typing Cadence','','Irregular Typing Cadence','Abnormal Pause','Irregular Typing Cadence','Out of Order Field Interaction','Value Manipulation','','Out of Order Field Interaction','','Value Manipulation','','Value Manipulation','','','','','','','','','Window Exit','Window Entry','Pasted Value','','Value Manipulation','','','Value Manipulation','Value Manipulation','','','','Copied Value','','Frustration - Repeat Paste','Frustration - Repeat Paste','Frustration - Repeat Paste','','','','']
print(len(x_data))
print(len(y_data))
print(len(annotations))

fig, ax = plt.subplots()
ax.set_xlim(0,205)
ax.set_ylim(0,100)
line, = ax.plot(0,50)

def init():
  line.set_data([], [])
  return line,

def animate(n):
  line, = plt.plot(x_data[:n], y_data[:n], color='b', marker='o')
  ax.annotate(annotations[n],(x_data[n],y_data[n]))
  updated_score = mpatches.Patch(color='b', label=y_data[n])
  plt.legend(handles=[updated_score])
  return line,

animation = FuncAnimation(fig, animate, frames=len(x_data), interval=500)

plt.title('A Cool Title')
plt.xlabel('Time in Seconds')
plt.ylabel('Value')

plt.show()

这是一个有效的 replit

Answer 1

我认为斧头和情节的混合是问题，我用对象风格重写了它并修复了代码。

fig, ax = plt.subplots()
ax.set_xlim(0,205)
ax.set_ylim(0,100)
line, = ax.plot(0,50)
ax.set_title('A Cool Title')
ax.set_xlabel('Time in Seconds')
ax.set_ylabel('Value')


def init():
    line.set_data([], [])
    return line,

def animate(n):
    line, = ax.plot(x_data[:n], y_data[:n], color='b', marker='o')
    ax.annotate(annotations[n],(x_data[n],y_data[n]))
    updated_score = mpatches.Patch(color='b', label=y_data[n])
    ax.legend(handles=[updated_score])
    return line,

animation = FuncAnimation(fig, animate, frames=len(x_data), interval=500, repeat=False)
# animation.save('line_legend_sync_ani.gif', writer='pillow')
plt.show()

Answer 2

请记住，当切片 Pandas 不包括最后一个值时，因此在这一行 plt.plot(x_data[:n+1], y_data[:n+1]) 您应该添加 +1 以包括第 n 个值。我认为这解决了时间不足的问题。

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from matplotlib import style
import matplotlib.patches as mpatches

style.use('ggplot')

x_data = [1,5,7,9,11,12,14,15,27,29,37,39,45,47,52,53,57,58,61,62,66,80,82,83,84,85,90,91,93,96,98,105,109,110,111,113,114,116,117,120,122,123,127,134,136,138,140,141,144,160,161,162,165,174,176,179,183,184,185,186,190,191,192,193,194,195,199,200,204]
y_data = [50,55,40,30,31,20,21,18,25,21,15,18,20,24,27,30,32,35,37,38,30,11,13,10,10,14,16,18,19,17,14,9,9,4,5,5,6,5,7,3,6,8,10,13,15,12,10,13,8,4,3,5,4,5,7,6,4,8,10,12,10,12,12,12,12,15,17,18,18]
annotations = ['','','Pasted Value','Cut Value','','Pasted Cut Value','','Abnormal Pause','','Abnormal Pause','Out of Order Field Interaction','','','','','','','','','','Window Exit','Window Entry','','Pasted Value','Out of Order Field Interaction','','','Irregular Typing Cadence','','Irregular Typing Cadence','Abnormal Pause','Irregular Typing Cadence','Out of Order Field Interaction','Value Manipulation','','Out of Order Field Interaction','','Value Manipulation','','Value Manipulation','','','','','','','','','Window Exit','Window Entry','Pasted Value','','Value Manipulation','','','Value Manipulation','Value Manipulation','','','','Copied Value','','Frustration - Repeat Paste','Frustration - Repeat Paste','Frustration - Repeat Paste','','','','']
print(len(x_data))
print(len(y_data))
print(len(annotations))

fig, ax = plt.subplots()
ax.set_xlim(0,205)
ax.set_ylim(0,100)
line, = ax.plot(0,50)

def init():
  line.set_data([], [])
  return line,

def animate(n):
  line, = plt.plot(x_data[:n+1], y_data[:n+1], color='b', marker='o')
  ax.annotate(annotations[n],(x_data[n],y_data[n]))
  updated_score = mpatches.Patch(color='b', label=y_data[n])
  ax.legend(handles=[updated_score])
  return line,

animation = FuncAnimation(fig, animate, frames=len(x_data), interval=500)

plt.title('A Cool Title')
plt.xlabel('Time in Seconds')
plt.ylabel('Value')

plt.show()

在这里查看结果：https://repl.it/@JuanJavier1/A-Cool-Title

使用 Python 的 Matplotlib 如何将特定点的注释更新与我的数据集对齐，因为它是使用 FuncAnimation 绘制的？

Using Python's Matplotlib how can I align annotation updates for specific points to my data set as it is graphed using FuncAnimation?

python

matplotlib

matplotlib-animation