我正在创建一个脚本来显示产品性能图表，并创建一个表格来显示其部件号、应用程序列表和当前应用程序的数量。
但是，默认字体大小太大，无法将所有这些信息放入幻灯片中，需要缩小。
如何在 Python-pptx 中减小表格中文本的字体大小？
这就是我所拥有的，但我不断收到错误消息“AttributeError: '_Cell' 对象没有属性 'paragraph'”
table = shapes.add_table(rows, cols, left + left_offset, top + Inches(.25), width, height - Inches(.25)).table
#column width
for i in range(3):
table.columns[i].width = col_width[i]
for i in range(len(a_slide)):
#color table
if i % 2 == 0:
for j in range(3):
fill = table.cell(i, j).fill
fill.background()
else:
for j in range(3):
fill = table.cell(i, j).fill
fill.solid()
fill.fore_color.rgb = RGBColor(240, 128, 128)
#populate table
table.cell(i, 0).text = str(item["name"])
try:
table.cell(i, 1).text = ", ".join(item["app"]) …我正在尝试首次使用unittest创建我的第一个自动化测试套件.
但是,当我尝试执行我的测试套件时,unittest会抛出以下异常:
Traceback (most recent call last):
File "testing_pos_line.py", line 31, in <module>
unittest.main()
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\main.py", line 93, in __init__
self.parseArgs(argv)
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\main.py", line 140, in parseArgs
self.createTests()
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\main.py", line 144, in createTests
self.test = self.testLoader.loadTestsFromModule(self.module)
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\loader.py", line 123, in loadTestsFromModule
tests.append(self.loadTestsFromTestCase(obj))
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\loader.py", line 92, in loadTestsFromTestCase
loaded_suite = self.suiteClass(map(testCaseClass, testCaseNames))
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\suite.py", line 24, in __init__
self.addTests(tests)
File "C:\Users\barnej78\AppData\Local\Continuum\Anaconda3\lib\unittest\suite.py", line 57, in addTests
for test in tests:
TypeError: __init__() takes 1 positional argument but 2 were …输入是灰度图像，转换为 130x130 numpy 矩阵。我总是收到错误：
Traceback (most recent call last):
File "test_final.py", line 87, in <module>
a._populate_gabor()
File "C:\Users\Bears\Dropbox\School\Data Science\final.py", line 172, in _populate_gabor
self.gabor_imgs[i] = self._matrix_2_1d(self._gabor_this(self.grey_imgs[i]),kernels[0])
File "C:\Users\Bears\Dropbox\School\Data Science\final.py", line 179, in _gabor_this
filtered = ndi.convolve(image, kernel, mode='reflect')
File "C:\Users\Bears\Anaconda3\lib\site-packages\scipy\ndimage\filters.py", line 696, in convolve
origin, True)
File "C:\Users\Bears\Anaconda3\lib\site-packages\scipy\ndimage\filters.py", line 530, in _correlate_or_convolve
raise RuntimeError('filter weights array has incorrect shape.')
RuntimeError: filter weights array has incorrect shape.
我的代码如下
def _populate_gabor(self):
kernels = []
for theta in range(self.gabor_range[0],self.gabor_range[1]):
theta = theta / …