Question

我正在尝试制作Seaborn的动画（FuncAnimation）。动画效果很好，但是hue值（应由数据帧中的“ Anomalous”列控制）没有更新，并且会产生错误的结果。
我该如何解决此问题，以同时用temp和湿度列更新异常列？

from matplotlib import pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.animation as animation
import matplotlib
import seaborn as sns

sensor_data_path='full_results.csv'
sns.set(rc={'figure.figsize':(8,8)})
sns.set(style='ticks')

def read_sensor_data():
    # I read the sensor data here 


def modify_file(csv_file):
    # I modify the sensor data to return the required chunk of the full file

def animate(i):
    for c in scatters:    
        results_file=read_sensor_data()
        results_file_copy=modify_file(results_file)
        results_file_copy=results_file_copy.reset_index(drop=True)
        xy=results_file_copy.loc[:,["temp_C","humid_%"]] 
        c.set_offsets(xy)
    txt.set_text('frame={:d}'.format(i))
    return scatters+[txt]    


x="temp_C"
y="humid_%"
csv_file=read_sensor_data()
g = sns.lmplot(x=x, y=y,data=csv_file,hue="Anomalous",
               markers=["o", "x"],legend_out = True, aspect=1.61, fit_reg=False)    
fig = g.fig
ax = g.axes[0,0]
scatters = [c for c in ax.collections if isinstance(c, matplotlib.collections.PathCollection)]
txt = ax.text(0.1,0.9,'frame=0', transform=ax.transAxes)


ani=animation.FuncAnimation(fig, animate, interval=5000, save_count=100, 
                            repeat=True, blit=False)
plt.show()

具有更新的色相值的海底油轮功能动画

0 个答案: