Python TypeError:通过matplotlib动画在x轴上显示日期时间
我已经做了一天半了,我想是时候求助了。以下代码给出了错误: TypeError:Python TypeError:通过matplotlib动画在x轴上显示日期时间,python,python-3.x,datetime,animation,matplotlib,Python,Python 3.x,Datetime,Animation,Matplotlib,我已经做了一天半了,我想是时候求助了。以下代码给出了错误: TypeError:float()参数必须是字符串或数字,而不是 'datetime.datetime' 我试图通过动画函数将函数frames1中生成的datetime变量放在x轴上 代码: 我尝试了以下解决方案: 目前还没有积极的结果 我非常感谢您提前查看此问题。不确定您首先为什么要将1附加到数组中。我想你是说 # Creating data variables x = [] y = [] x.append(datetime.da
float()
参数必须是字符串或数字,而不是
'datetime.datetime'
我试图通过动画函数将函数frames1中生成的datetime
变量放在x轴上
代码:
我尝试了以下解决方案:
目前还没有积极的结果
我非常感谢您提前查看此问题。不确定您首先为什么要将
1
附加到数组中。我想你是说
# Creating data variables
x = []
y = []
x.append(datetime.datetime.now())
y.append(1)
那么在生成器函数中,有很多我不明白的地方。在我看来,您似乎可以省去大部分来回转换,直接使用now()
def frames1():
# Generating time variable
target_time = datetime.datetime.now()
while True:
# Add new time + 60 seconds
target_time = target_time + datetime.timedelta(seconds=60)
x = target_time
y = random.randint(250,450)/10
yield (x,y)
time.sleep(random.randint(2,5))
但是,您可以将轴的格式设置为显示时间而不是数字。在init
函数中,您可以添加
line.axes.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
将matplotlib.dates
作为mdates
导入的位置
行imin=min(max(0,i-win),len(x-win)
似乎没有多大意义,为什么不单独使用max(0,i-win)
因此,总的来说,工作版本可能如下所示:
import random
import time
from matplotlib import pyplot as plt
import matplotlib.dates as mdates
from matplotlib import animation
import datetime
# Plot parameters
fig, ax = plt.subplots()
line, = ax.plot([], [], 'k-', label = 'ABNA: Price', color = 'blue')
legend = ax.legend(loc='upper right',frameon=False)
plt.setp(legend.get_texts(), color='grey')
ax.margins(0.05)
ax.grid(True, which='both', color = 'grey')
# Creating data variables
x = [datetime.datetime.now()]
y = [1]
def init():
line.set_data(x[:1],y[:1])
line.axes.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
return line,
def animate(args):
# Args are the incoming value that are animated
animate.counter += 1
i = animate.counter
win = 60
imin = max(0, i - win)
x.append(args[0])
y.append(args[1])
xdata = x[imin:i]
ydata = y[imin:i]
line.set_data(xdata, ydata)
line.set_color("red")
plt.title('ABNA CALCULATIONS', color = 'grey')
plt.ylabel("Price", color ='grey')
plt.xlabel("Time", color = 'grey')
ax.set_facecolor('black')
ax.xaxis.label.set_color('grey')
ax.tick_params(axis='x', colors='grey')
ax.yaxis.label.set_color('grey')
ax.tick_params(axis='y', colors='grey')
ax.relim()
ax.autoscale()
return line,
animate.counter = 0
def frames1():
# Generating time variable
target_time = datetime.datetime.now()
while True:
# Add new time + 60 seconds
target_time = target_time + datetime.timedelta(seconds=60)
x = target_time
y = random.randint(250,450)/10
yield (x,y)
time.sleep(random.randint(2,5))
anim = animation.FuncAnimation(fig, animate,init_func=init,frames=frames1)
plt.show()
import random
import time
from matplotlib import pyplot as plt
import matplotlib.dates as mdates
from matplotlib import animation
import datetime
# Plot parameters
fig, ax = plt.subplots()
line, = ax.plot([], [], 'k-', label = 'ABNA: Price', color = 'blue')
legend = ax.legend(loc='upper right',frameon=False)
plt.setp(legend.get_texts(), color='grey')
ax.margins(0.05)
ax.grid(True, which='both', color = 'grey')
# Creating data variables
x = [datetime.datetime.now()]
y = [1]
def init():
line.set_data(x[:1],y[:1])
line.axes.xaxis.set_major_formatter(mdates.DateFormatter("%H:%M:%S"))
return line,
def animate(args):
# Args are the incoming value that are animated
animate.counter += 1
i = animate.counter
win = 60
imin = max(0, i - win)
x.append(args[0])
y.append(args[1])
xdata = x[imin:i]
ydata = y[imin:i]
line.set_data(xdata, ydata)
line.set_color("red")
plt.title('ABNA CALCULATIONS', color = 'grey')
plt.ylabel("Price", color ='grey')
plt.xlabel("Time", color = 'grey')
ax.set_facecolor('black')
ax.xaxis.label.set_color('grey')
ax.tick_params(axis='x', colors='grey')
ax.yaxis.label.set_color('grey')
ax.tick_params(axis='y', colors='grey')
ax.relim()
ax.autoscale()
return line,
animate.counter = 0
def frames1():
# Generating time variable
target_time = datetime.datetime.now()
while True:
# Add new time + 60 seconds
target_time = target_time + datetime.timedelta(seconds=60)
x = target_time
y = random.randint(250,450)/10
yield (x,y)
time.sleep(random.randint(2,5))
anim = animation.FuncAnimation(fig, animate,init_func=init,frames=frames1)
plt.show()