问题描述
我正在尝试使用相同的函数保存两个图:
``` plot_xy(x,y,x1,y1)```
``` plot_xy(x=x,y=y,x1=x2,y1=y2)```
但是,第二个输出覆盖了第一个输出,我该如何更改它以使用 save.fig 为我提供两个图形?
示例代码如下:
import numpy as np
import matplotlib.pyplot as plt
def plot_xy(x,y1,*args,**kwargs):
A = np.amax(x1)
fig,ax = plt.subplots()
ax.plot(x,'r-',label='a' )
ax.plot(x1,linestyle='none',marker='^',label = 'b')
ax.set(xlabel='cm',ylabel='(d/t)',title='ABC')
ax.grid()
ax.set_ylim(ymin=0)
ax.set_xlim(xmin=0)
ax.set_ylim(ymax=1)
ax.set_xlim(xmax=A)
plt.legend(loc = 'best')
plt.show()
fig.savefig(r'C:\...location....\test.png')
return fig
if __name__ == "__main__":
"""passing a rough estimated data"""
print (0)
x = np.linspace(0,500,num=20 )
y = np.linspace(0,0.85,num=20 )
x1 = np.linspace(0,1000,num=20 )
y1 = np.linspace(0,num=20 )
x2 = np.linspace(0,2000,num=20 )
y2 = np.linspace(0,1,num=20 )
plot_xy(x,y1)
plot_xy(x=x,y1=y2)
谢谢,感谢您的所有努力。
解决方法
这是因为 file name
是相同的。所以之前的文件被覆盖了。您可以通过创建新文件名来处理此问题。您可以使用 current seconds
来确保它是不同的。或者您可以使用任何其他类型,以便每次生成的文件名都不同。
import numpy as np
import matplotlib.pyplot as plt
import datetime
def plot_xy(x,y,x1,y1,*args,**kwargs):
A = np.amax(x1)
fig,ax = plt.subplots()
ax.plot(x,'r-',label='a' )
ax.plot(x1,linestyle='none',marker='^',label = 'b')
ax.set(xlabel='cm',ylabel='(d/t)',title='ABC')
ax.grid()
ax.set_ylim(ymin=0)
ax.set_xlim(xmin=0)
ax.set_ylim(ymax=1)
ax.set_xlim(xmax=A)
plt.legend(loc = 'best')
plt.show()
fig.savefig(r'C:\...location....\test_' + str(datetime.datetime.now().strftime('%f'))+'.png')
return fig
if __name__ == "__main__":
"""passing a rough estimated data"""
print (0)
x = np.linspace(0,500,num=20 )
y = np.linspace(0,0.85,num=20 )
x1 = np.linspace(0,1000,num=20 )
y1 = np.linspace(0,num=20 )
x2 = np.linspace(0,2000,num=20 )
y2 = np.linspace(0,1,num=20 )
plot_xy(x,y1)
plot_xy(x=x,y=y,x1=x2,y1=y2)
,
这是因为您对函数的每次调用都使用相同的图形保存位置。您可以使用另一个参数来保存图窗。像这样:
import numpy as np
import matplotlib.pyplot as plt
def plot_xy(filename,x,title='ABC')
ax.grid()
ax.set_ylim(ymin=0)
ax.set_xlim(xmin=0)
ax.set_ylim(ymax=1)
ax.set_xlim(xmax=A)
plt.legend(loc = 'best')
plt.show()
fig.savefig(f"{filename}.png")
if __name__ == "__main__":
"""passing a rough estimated data"""
print (0)
x = np.linspace(0,num=20 )
plot_xy("image1",y1)
plot_xy("image2",x=x,y1=y2)