python

问题 I made a program which make a HUD over a video, getting info from sensors and plotting the results on the video frames, refreshing every frame, and for representing degrees (inclination) I need to plot a degree symbol, but what I get it's 2 symbols ("??") in the video show. I search through this site and others too. I can't do it!!!! please, I don't know what to do, it's just that little thing that I can't do it. This is the beginning of my program: import cv2 from random import * import

问题 I am working on a picking legend with matplotlib. The goal is to hide and shows curves, by clicking on the legend. I found this solution (Hiding lines after showing a pyplot figure), which works very well. I want improve this code to adapt automatically the axis after each clic on the legend. I don't know if it is possible. Do you have any hint? Their is an example of what I want on the images below. First of all, the Image 1 represents the graph. Then after clicking on the legend 5*sin(x),

问题 I saw this chart in a paper and need to reproduce it. How can I plot a figure like this in Python? Note that: I suspect bigger subplots are perhaps drawn using seaborn or using matplotlib's subplot The smaller plots are POINTING at a specific part of the curve in the bigger plots. 回答1: One strategy can be using mpl_toolkits.axes_grid1.inset_locator , as suggested in the answer to this question: How to overlay one pyplot figure on another I have made a quick example: import matplotlib.pyplot

问题 I created a number of classes I want to persist to the database. I would like to be able to run the app with a specific flag to take all those classes and create the corresponding tables in my db. To that end, I'm trying to import the classes and then call the Base.metadata.create_all(engine) method. However, that doesn't work. At the same time, when I call that from the file with each of those actual classes, the tables are created. How do I go about the task of creating those tables? Should

问题 I'm doing an at-home project basically just for fun but I'm having more trouble than anticipated. I want to be able to find the pitch mark in this sample image. enter image description here I've followed some tutorials and things to load the image from a location and run simple blob detection on the image. My code currently is as follows -> import cv2 import numpy as np # Read in the image in grayscale img = cv2.imread('/home/pi/Downloads/divot1.jpeg', cv2.IMREAD_GRAYSCALE) params = cv2

问题 I am running a Django(Python 2.7) application with IPython notebook in a docker container and for some notebook, while accessing I am getting Error of An unknown error occurred while loading this notebook when I check logs it's showing Traceback (most recent call last): File "/usr/local/lib/python2.7/dist-packages/tornado/web.py", line 1415, in _execute result = yield result File "/usr/local/lib/python2.7/dist-packages/tornado/gen.py", line 870, in run value = future.result() File "/usr/local

问题 Our project is to integrate Lidar system into virtual reality (unity). I could achieve that integration with ROS-bridge. Next step is to process the point cloud data before we send it to unity system. Lidar sensor velodyne VLP-16 Ubuntu 18.4 IDE: Pycharm (python) Point cloud processing: python point cloud library with ROS ros-bridge with unity system Problem Without processing, there is only 1 second latency from sensor to unity visualization. But processing point-cloud data in ROS(pycharm)

问题 Now I have a dict object, where the key is a unique hashed id and the value is a length > 100 sparse list. I'd like to store this in plain text(e.g., csv/tsv/whatever that is not pickle.dump). Is there any good way to store this kind of sparse list? For example: d = {"a": [0,0,0, ..., 1,0], "b": [0.5,0,0, ...,0.5,0], "c":...} The length of each list is exactly the same. I was thinking whether it's worth storing this kind of sparse list as index-value pair. But I'm not sure whether there is

问题 This question already has answers here : How to skip or ignore python decorators (3 answers) Closed 4 years ago . I have a decorator @auth which basically checks a database to ensure a user can access a given REST call. I would like to write some unit tests for these calls. My initial idea was to simply monkeypatch the decorator into a pass through that does nothing. (My initial idea failed, so I may just monkeypatch some function inside of @auth so that it always passes, but I'm still

问题 I have a list of data frames which I reshuffle and then I want to save the output as a csv. To do this I'm trying to append this list to an empty data frame: l1=[year1, year2,..., year30] shuffle (l1) columns=['year', 'day', 'tmin', 'tmax', 'pcp'] index=np.arange(10957) df2=pd.DataFrame(columns=columns, index=index) l1.append(df2) This result in an empty data frames with a bunch of Nans. I don't necessarily need to append my reshuffled list to a dataframe, I just need to save it as a csv, and