matplotlib动画在更新过程中删除行 [英] matplotlib animation removing lines during update
问题描述
我已经创建了地图,正在将纬度和经度CSV格式的数据读取到Pandas DataFrame中。阅读DataFrame后,我成功地使用 for循环绘制了多个大弧。
I've created a map and I am reading in a CSV of latitude and longitude coordinates into a Pandas DataFrame. I've been successful in plotting multiple great arcs using a 'for' loop after reading in the DataFrame.
当将一组新坐标添加到CSV时,会绘制一个新的大弧。
A new great arc is drawn when a new set of coordinates is ADDED to the CSV.
但是,删除坐标后,我不知道如何删除大弧。该线仅停留在地图上。
However, I can't figure out how to REMOVE a great arc once the coordinates have been removed. The line just stays on the map.
每次CSV更新时,如何删除所有旧行并重新绘制这些行?我只想查看CS中当前包含的行。
How do I remove all the old lines and re-draw the lines everytime the CSV is updated? I only want to see the lines currently contained within the CS.
CSV包含以下内容:
The CSV contains the following:
sourcelon sourcelat destlon destlat
50.44 30.51 -80.84 35.22
52.52 13.4 -80.84 35.22
43.18 -22.97 -80.84 35.22
44.1 -15.97 -80.84 35.22
55.44 30.51 -80.84 35.22
最小代码如下:
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.animation
# setup mercator map projection.
fig = plt.figure(figsize=(27, 20))
m = Basemap(projection='mill', lon_0=0)
m.drawcoastlines(color='r', linewidth=1.0)
def animate(i):
df = pd.read_csv('c:/python/scripts/test2.csv', sep='\s*,\s*',header=0, encoding='ascii', engine='python'); df
for x,y,z,w in zip(df['sourcelon'], df['sourcelat'], df['destlon'], df['destlat']):
line, = m.drawgreatcircle(x,y,z,w,color='r')
ani = matplotlib.animation.FuncAnimation(fig, animate, interval=1000)
plt.tight_layout()
plt.show()
推荐答案
使用blitting:
使用blitting时,行会自动删除。
Using blitting:
When using blitting the lines are automatically removed.
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.animation
# setup mercator map projection.
fig = plt.figure(figsize=(13, 8))
m = Basemap(projection='mill', lon_0=0)
m.drawcoastlines(color='grey', linewidth=1.0)
def get_data():
a = (np.random.rand(4,2)-0.5)*300
b = (np.random.rand(4,2)-0.5)*150
df= pd.DataFrame(np.concatenate((a,b),axis=1),
columns=['sourcelon','destlon','sourcelat','destlat'])
return df
def animate(i):
df = get_data()
lines = []
for x,y,z,w in zip(df['sourcelon'], df['sourcelat'], df['destlon'], df['destlat']):
line, = m.drawgreatcircle(x,y,z,w,color='r')
lines.append(line)
return lines
ani = matplotlib.animation.FuncAnimation(fig, animate, interval=1000, blit=True)
plt.tight_layout()
plt.show()
不发消息:
如果不希望发消息,则可以手动删除行。
Without blitting:
If blitting is not desired, one may remove the lines manually.
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import matplotlib.animation
# setup mercator map projection.
fig = plt.figure(figsize=(13, 8))
m = Basemap(projection='mill', lon_0=0)
m.drawcoastlines(color='grey', linewidth=1.0)
def get_data():
a = (np.random.rand(4,2)-0.5)*300
b = (np.random.rand(4,2)-0.5)*150
df= pd.DataFrame(np.concatenate((a,b),axis=1),
columns=['sourcelon','destlon','sourcelat','destlat'])
return df
lines = []
def animate(i):
df = get_data()
for line in lines:
line.remove()
del line
lines[:] = []
for x,y,z,w in zip(df['sourcelon'], df['sourcelat'], df['destlon'], df['destlat']):
line, = m.drawgreatcircle(x,y,z,w,color='r')
lines.append(line)
ani = matplotlib.animation.FuncAnimation(fig, animate, interval=1000)
plt.tight_layout()
plt.show()
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