我正在尝试计算 x0 处的函数
f = lambda x:mu*div2d(grad2d(x))+x-b
我试过这个：
def feval(f, *args):
return eval(f)(*args)
feval(f,x0)
但它会引发回溯：
Traceback (most recent call last):
File "<ipython-input-128-6be96feb06d6>", line 1, in <module>
feval(f,x0)
File "<ipython-input-126-67b053764219>", line 2, in feval
return eval(f)(*args)
TypeError: eval() arg 1 must be a string, bytes or code object
我还读到使用 eval() 是不好的做法。那么这样做的好方法是什么？谢谢。
我有x0这是一个float64(64,64)数组.每当我尝试这个:
delta = np.random.randn(x0.shape)
它给出了标题错误.这是如此基本,以至于我把头缠在它周围.我错过了什么？谢谢
完整的追溯如下:
Traceback (most recent call last):
File "<ipython-input-31-dcd2365ed519>", line 1, in <module>
delta = np.random.randn(x0.shape)
File "mtrand.pyx", line 1420, in mtrand.RandomState.randn
File "mtrand.pyx", line 1550, in mtrand.RandomState.standard_normal
File "mtrand.pyx", line 167, in mtrand.cont0_array
TypeError: 'tuple' object cannot be interpreted as an integer
错误的完整摘要如下：
Info: Internal Builder is used for build
arm-atollic-eabi-gcc -o test.elf main.o stm32f4xx_it.o system_stm32f4xx.o -T../Debug_STM32F401VC_FLASH.ld -specs=nosys.specs -static -Wl,-cref,-u,Reset_Handler -Wl,-Map=test.map -Wl,--defsym=malloc_getpagesize_P=0x80 -Wl,--start-group -lc -lm -Wl,--end-group -specs=nano.specs
c:/program files (x86)/atollic/truestudio for stm32 9.0.1/armtools/bin/../lib/gcc/arm-atollic-eabi/6.3.1/../../../../arm-atollic-eabi/bin/ld.exe: warning: cannot find entry symbol Reset_Handler; defaulting to 08000000
main.o: In function `main':
C:\Users\Deepayan\Atollic\TrueSTUDIO\STM32_workspace_9.0\test\Debug/..\main.c:26: undefined reference to `TM_USART_Init'
C:\Users\Deepayan\Atollic\TrueSTUDIO\STM32_workspace_9.0\test\Debug/..\main.c:29: undefined reference to `TM_USART_Puts'
C:\Users\Deepayan\Atollic\TrueSTUDIO\STM32_workspace_9.0\test\Debug/..\main.c:33: undefined reference to `TM_USART_Getc'
我们应该在哪里指定重置处理程序？谢谢。
我一直在寻找 SO 以增加 relplot 中的图例/色调大小。
plt.rcParams["axes.labelsize"] = 20
g = sns.relplot(x='Time(days)', y='Duration Total (s)', hue='Outcome', data=t1,height=15, aspect=1, s=50);
plt.suptitle("a_10",fontsize=25, fontweight='bold')
我似乎无法绕过它。有这么多混合引用，这有点令人困惑。
我有一部分数据框df是这样的：
| nr | Time | Event |
|----|------|-------|
| 70 | 8 | |
| 70 | 0 | |
| 70 | 0 | |
| 74 | 52 | |
| 74 | 12 | |
| 74 | 0 | |
我想将事件分配到最后一列。默认情况下，第一个条目是1。
If Time[i] < 7 and nr[i] != nr[i-1], then Event[i]=Event[i-1]+1.
If Time[i] < 7 and nr[i] = nr[i-1], then Event[i]=Event[i-1]
If Time[i] > 7 then Event[i]=Event[i-1]+1.
如何有效地向量化？我想避免循环。