Plot.save(path, size, dpi)returnTrue 开发者ID:Didier94,项目名称:FreeCAD_sf_master,代码行数:14,代码来源:TaskPanel.py defaccept(self):plt = Plot.getPlot()ifnotplt: msg = QtGui.QApplication.translate("plot_console","Plot document must be selected in order tosaveit",None) App.Console.Pri...
# 需要导入模块: from treemap.models import Plot [as 别名]# 或者: from treemap.models.Plot importsave[as 别名]deftest_result_map(self):### Test main result map page# Note -> This page does not depend at all on the request#p1 = Plot(geometry=Point(50,50), last_updated_by=self.u...
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def save_as_image(mapfile, imagefile=None, type=RASTER_FORMAT_PNG, pix_width=1000, pix_height=0, pix_32_bit=False): """ Save a map file to an image file :param mapfile: map or geosoft_3dv file name :param imagefile: name of the output raster file, default is a temporary png ...
Example: Save a Plot as an Image to a folder Here is an example of saving a plot as an image to a folder in Python. import matplotlib.pyplot as plt import numpy as np import os # Generate some data data = np.random.rand(10, 10) ...
python plot之后save,1)Matplotlib库介绍:Matplotlib是Python的一个2D绘图库,利用它可以在各个平台绘制出许多高质量的图形,我们可以用Matplotlib生成绘图、条形图、饼状图,还可进行简单动制作。通常与Numpy库共同使用,在数学建模中是一种常用于替代MATLAB软件的方案
plt.plot(x,y) # 指定图片保存路径 figure_save_path = "picture_folder" if not os.path.exists(figure_save_path): os.makedirs(figure_save_path) # 如果不存在目录figure_save_path,则创建 plt.savefig(os.path.join(figure_save_path , 'exam_02.png'))#第一个是指存储路径,第二个是图片名字 ...
# save plot to file plt.savefig('figures/ExpDecay.pdf') # display plot on screen plt.show() 关键字xerr和yerr用于指定x和y误差栏。将其中一个或两个设置为常量将为所有误差栏指定一个大小。或者,将它们中的一个或两个设置为与x和y数组具有相同长度的数组,允许您为每个数据点提供一个具有...
Create a pLot:By usingplot(),scatter(),bar(), method you can create a plot or you can use any other method which ever you like. Save as pdf:By usingsavefig()method you can save a file into your system. Setextensionof the file to“pdf”as your main aim is to save as pdf. ...
from skimage.io import imread from skimage.color import rgb2gray import matplotlib.pylab as pylab from skimage.morphology import binary_erosion, rectangle def plot_image(image, title=''): pylab.title(title, size=20), pylab.imshow(image) pylab.axis('off') # comment this line if you want axis...