bag

问题 while True: x = input().split() if len(x) != 2: continue a, b = x if a > b: print(a, 'is greater than', b) Hi, why when i input: '5 10', output: '5 is greater than 10'? 回答1: in python all that's returned from input are strings, and they are still strings even after you use split() on them. '5' (the string) is larger than '10' (the string) because string comparison works on the first letter first! To do it properly, convert them both to int : while True: x = input().split() if len(x) != 2:

问题 I have done following code to read data from .bag file import os f = open("/Volumes/aj/VLP16_Points_2017-10-24-11-21-21.bag", 'r') print (f.read()) f.close() I am getting the following error Traceback (most recent call last): File "/Users/ajinkyabobade/PycharmProjects/storingfiles/storingimage.py", line 11, in <module> print (f.read()) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/codecs.py", line 321, in decode (result, consumed) = self._buffer_decode(data, self

问题 I have done following code to read data from .bag file import os f = open("/Volumes/aj/VLP16_Points_2017-10-24-11-21-21.bag", 'r') print (f.read()) f.close() I am getting the following error Traceback (most recent call last): File "/Users/ajinkyabobade/PycharmProjects/storingfiles/storingimage.py", line 11, in <module> print (f.read()) File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/codecs.py", line 321, in decode (result, consumed) = self._buffer_decode(data, self

问题 I am new to ROS. I need to convert a preexisting video file, or a large amount of images that can be concatenated into a video stream, into a .bag file in ROS. I found this code online: http://answers.ros.org/question/11537/creating-a-bag-file-out-of-a-image-sequence/, but it says it is for camera calibration, so not sure if it fits my purpose. Could someone with a good knowledge of ROS confirm that I can use the code in the link provided for my purposes, or if anyone actually has the code I

问题 I'm looking for a .Net implementation of a multiset. Can anyone recommend a good one? (A multiset, or bag, is a set that can have duplicate values, and on which you can do set operations: intersection, difference, etc. A shopping cart for instance could be thought of as a multiset because you can have multiple occurrences of the same product.) 回答1: I do not know about one, however you could use a Dictionary for that, in which the value is the quantity of the item. And when the item is added

问题 I'm in dire need of help with this project. I'm trying to implement a Bag class for a programming assignment, and I'm getting hung up on the addAll() , Union() , and equals() , methods. Edit: According to the assignment, addAll() is supposed to add all of the the objects from the second array into the first. I'm no longer getting an error when I run it, but for some reason it will not add all of the elements from the second array, it will only add the first 2. Thanks guys, this one is working

问题 Does dask.bag.read_text() preserve the line order? Is it still preserved when reading from multiple files? bag = db.read_text('program.log') bag = db.read_text(['program.log', 'program.log.1']) 回答1: Informally, yes, most Dask.bag operations do preserve order. This behavior is not strictly guaranteed, however I don't see any reason to anticipate a change in the near future. 来源： https://stackoverflow.com/questions/39652733/dask-bag-read-text-line-order

问题 Can I use sklearn's BaggingClassifier to produce continuous predictions? Is there a similar package? My understanding is that the bagging classifier predicts several classifications with different models, then reports the majority answer. It seems like this algorithm could be used to generate probability functions for each classification then reporting the mean value. trees = BaggingClassifier(ExtraTreesClassifier()) trees.fit(X_train,Y_train) Y_pred = trees.predict(X_test) 回答1: If you're

问题 I'm running Pig example$ pig --version Apache Pig version 0.8.1-cdh3u1 (rexported) compiled Jul 18 2011, 08:29:40 on very simple dataset example$ hadoop fs -cat /user/pavel/trivial.log 1 one 2 two 3 three I'm trying to save the bag format as json by using the following script: REGISTER ./pig.jar; A = LOAD 'trivial.log' USING PigStorage('\t') AS (mynum: int, mynumstr: chararray); B = GROUP A BY mynum; DUMP B; STORE B into 'trivial_json.out' USING JsonStorage(); and I get an error: Backend

问题 I am trying to read the comma separated data using PIG as below: grunt> cat script/pig/emp_tuple1.txt 1,kirti,250000,{(100),(200)} 2,kk,240000,{(100),(300)} 3,kumar,200000,{(200),(400)} 4,shinde,290000,{(200),(500),(300),(100)} 5,shinde k y,260000,{(100),(300),(200)} 6,amol,255000,{(300)} grunt> emp_t1 = load 'script/pig/emp_tuple1.txt' using PigStorage(',') as (empno:int, ename:chararray, salary:int, dlist:bag{}); grunt> dump emp_t1; 2015-11-23 12:26:44,450 [main] INFO org.apache.pig.backend