如何使matplotlib更新我的轴线的基础上范围的数据

Question 1

我有一个活的动画而我想要更新的x轴和y轴期间，每次重新绘制。

我尝试了多种方式来解决这个，这是左的意见，在下面的代码

我相信现在的问题返回线，这是相关的变量斧头，而FuncAnimation行为上的变量图?

import pandas as pd
import time
import matplotlib.pyplot as plt
import matplotlib.animation as animation
global df
df = pd.DataFrame(columns = ['time', 'number'])
global start_time
start_time = time.time()
df['time'] = [1]*40
df['number'] = [1]*40
global counter
counter = 0
while counter<40:
    df.iat[counter, 0] = round(((time.time()-start_time)*10))
    df.iat[counter, 1] = counter
    time.sleep(0.1)
    counter = counter+1
def get_data():
    global counter
    global start_time
    global df
    df.drop(range(10), axis = 0, inplace=True)
    df2 = pd.DataFrame(columns = ['time', 'number'])
    list1 = []
    list2 = []
    for item in range(10):
        time.sleep(0.1)
        list1.append(round(((time.time()-start_time)*10)))
        list2.append(counter)
        counter = counter + 1
    df2['time'] = list1
    df2['number'] = list2
    df = df.append(df2, ignore_index = True)
    df.reset_index(inplace=True, drop = True)
    x_data = df['time']
    y_data = df['number']
    return x_data,y_data
def get_limits():
    global df
    x_min = min(df['time'])
    y_min = min(df['number'])
    x_max = max(df['time'])
    y_max = max(df['number'])
    return x_min, y_min, x_max, y_max
fig, ax = plt.subplots()
def animate(i):
    x_data, y_data= get_data()
    x_min, y_min, x_max, y_max = get_limits()
    #plt.xlim(x_min, x_max, auto = True)
    #plt.ylim(y_min, y_max, auto = True)
    ax.set_xlim(x_min, x_max, auto = True)
    ax.set_ylim(y_min, y_max, auto = True)
    line = ax.plot(x_data, y_data)
    #line = ax.plot(x_data, y_data,scalex=True, scaley=True, color="red")

    #plt.plot(x,y, scaley=True, scalex=True, color="red")
    return line
ani = animation.FuncAnimation(
    fig, animate, interval=50, blit=True, save_count=50)
#ani2 = animation.FuncAnimation(ax, animate, interval = 50, blit=True, save_count=50)
plt.show()

Question 2

我能得到的轴，以改变动态的代码如下。

关键的区别是，我使用 plt.ylim 和 plt.xlim，而不是改变图xlim或ylim. 然而，它的我也加入了评论码下的那些，那还工作。我相信ax1是一个次要情节，这是一个轴中分配给图。因此，更新ax1，更新轴。这也可以访问 fig.gca()，由于 figure.gca() 返回的轴线图。

import pandas as pd
import time
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import random
global df
df = pd.DataFrame(columns = ['time', 'number'])
global start_time
start_time = time.time()
df['time'] = [1]*40
df['number'] = [1]*40
global counter
counter = 0
while counter<40:
    df.iat[counter, 0] = round(((time.time()-start_time)*20))
    df.iat[counter, 1] = counter
    time.sleep(0.05)
    counter = counter+1
def get_data():
    global counter
    global start_time
    global df
    df.drop(range(10), axis = 0, inplace=True)
    df2 = pd.DataFrame(columns = ['time', 'number'])
    list1 = []
    list2 = []
    for item in range(10):
        time.sleep(random.randint(10,100)/1000)
        list1.append(round(((time.time()-start_time)*20)))
        list2.append(counter)
        counter = counter + 1
    df2['time'] = list1
    df2['number'] = list2
    df = df.append(df2, ignore_index = True)
    df.reset_index(inplace=True, drop = True)
    x_data = df['time']
    y_data = df['number']
    return x_data,y_data
def get_limits():
    global df
    x_min = min(df['time'])
    y_min = min(df['number'])
    x_max = max(df['time'])
    y_max = max(df['number'])
    return x_min, y_min, x_max, y_max

fig = plt.figure(figsize = (18,9))
ax1 = fig.add_subplot(1,1,1)
plt.title("Dynamic Axes")

def animate(i):
    x_data, y_data = get_data()
    x_min, y_min, x_max, y_max = get_limits()
    plt.xlim(x_min, x_max) #ax1.set_ylim(y_min, y_max)
    plt.ylim(y_min,y_max) #fig.gca().set_xlim(x_min,x_max)
    plt.plot(x_data,y_data)
animation = animation.FuncAnimation(fig, animate, interval = 50)
plt.show()

AlbinoRhino · Answer 1 · 2021-11-22T21:33:56

我能得到的轴，以改变动态的代码如下。

关键的区别是，我使用 plt.ylim 和 plt.xlim，而不是改变图xlim或ylim. 然而，它的我也加入了评论码下的那些，那还工作。我相信ax1是一个次要情节，这是一个轴中分配给图。因此，更新ax1，更新轴。这也可以访问 fig.gca()，由于 figure.gca() 返回的轴线图。

import pandas as pd
import time
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import random
global df
df = pd.DataFrame(columns = ['time', 'number'])
global start_time
start_time = time.time()
df['time'] = [1]*40
df['number'] = [1]*40
global counter
counter = 0
while counter<40:
    df.iat[counter, 0] = round(((time.time()-start_time)*20))
    df.iat[counter, 1] = counter
    time.sleep(0.05)
    counter = counter+1
def get_data():
    global counter
    global start_time
    global df
    df.drop(range(10), axis = 0, inplace=True)
    df2 = pd.DataFrame(columns = ['time', 'number'])
    list1 = []
    list2 = []
    for item in range(10):
        time.sleep(random.randint(10,100)/1000)
        list1.append(round(((time.time()-start_time)*20)))
        list2.append(counter)
        counter = counter + 1
    df2['time'] = list1
    df2['number'] = list2
    df = df.append(df2, ignore_index = True)
    df.reset_index(inplace=True, drop = True)
    x_data = df['time']
    y_data = df['number']
    return x_data,y_data
def get_limits():
    global df
    x_min = min(df['time'])
    y_min = min(df['number'])
    x_max = max(df['time'])
    y_max = max(df['number'])
    return x_min, y_min, x_max, y_max

fig = plt.figure(figsize = (18,9))
ax1 = fig.add_subplot(1,1,1)
plt.title("Dynamic Axes")

def animate(i):
    x_data, y_data = get_data()
    x_min, y_min, x_max, y_max = get_limits()
    plt.xlim(x_min, x_max) #ax1.set_ylim(y_min, y_max)
    plt.ylim(y_min,y_max) #fig.gca().set_xlim(x_min,x_max)
    plt.plot(x_data,y_data)
animation = animation.FuncAnimation(fig, animate, interval = 50)
plt.show()

如何使matplotlib更新我的轴线的基础上范围的数据

的问题

最好的答案

其他语言

此页面有其他语言版本

受欢迎的此类别

流行的问题，在这个类别