python-2.7

问题 I am researching soccer dataset LEAGUE HOME DRAW AWAY WINNER PREDICTED PROFIT 0 2 3.25 3.25 2.10 0 2 -10.0 1 14 1.50 3.50 6.00 0 0 5.0 2 2 2.25 3.30 3.20 2 0 -10.0 3 11 2.25 3.00 2.88 0 0 12.5 4 17 5.00 3.75 1.70 2 2 7.0 Now, I am looking for approach GroupBy(League, 1.25 < Home < 1.5 | 1.5 < Home < 1.75 ..) and get target dataset as on example: LEAGUE HOME PROFIT 0 2 1.25-1.5 10.0 1 2 1.50-1.75 5.0 2 3 NaN NaN 3 3 1.5-1.75 12.5 ... 回答1: Maybe you need cut: bins = np.linspace(0, 5, 20,

问题 I'm trying to create the Cartesian product of a list of lists. When I try to convert the result to a list it will give me a memory error. If I run it without converting it to a list it runs fine. lists = [['a','b','c' ],['a','b','c' ],['a','b','c' ],['a','b','c' ],['a','b','c' ],['a','b','c' ],['a','b','c' ],['a','b','c' ],['a','b','c' ]] my_product = list(itertools.product(*lists)) I even tried to filter through some of the result using itertools.dropwhile to make it smaller before

问题 On Plone 4.3.15 (Universal installation), it is not possible to install stripe 2.32.1. See logs : Getting distribution for 'stripe==2.32.1'. /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/distutils/dist.py:267: UserWarning: Unknown distribution option: 'project_urls' warnings.warn(msg) /System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/distutils/dist.py:267: UserWarning: Unknown distribution option: 'long_description_content_type' warnings.warn(msg)

问题 I've been trying to train Hand-written Digits using SVM based on the code on OpenCV library. My training part is as follow: import cv2 import numpy as np SZ=20 bin_n = 16 svm_params = dict( kernel_type = cv2.SVM_LINEAR, svm_type = cv2.SVM_C_SVC, C=2.67, gamma=5.383 ) affine_flags = cv2.WARP_INVERSE_MAP|cv2.INTER_LINEAR def deskew(img): m = cv2.moments(img) if abs(m['mu02']) < 1e-2: return img.copy() skew = m['mu11']/m['mu02'] M = np.float32([[1, skew, -0.5*SZ*skew], [0, 1, 0]]) img = cv2

问题 I've .xlsx file. Rows are good, values are just fine. But i need to change the columns order by list of new columns positions, e.g: old = [1, 2, 3, 4] new = [2, 1, 4, 3] Docs are checked - there is no straightforward options for this problem. I've tried to iterate over columns, so: old = {cell.column: cell.value for cell in ws[1]}.keys() # [1, 2, 3, 4] new = [2, 1, 4, 3] for i, col in enumerate(ws.iter_cols(max_col=old[-1]), 1): if old[i-1] != new[i-1]: for one in ws[get_column_letter(i)]:

问题 I am trying to set multiple chrome options in my chrome browser. This is what I currently have: prefs = {"download.default_directory" : "Download/Path"} moreprefs = {'safebrowsing.enabled': 'false'} chromeOptions = webdriver.ChromeOptions() chromeOptions.add_experimental_option("prefs", prefs) chromeOptions.add_experimental_option("prefs", moreprefs) self.driver = webdriver.Chrome(chrome_options=chromeOptions) The probblem is it only takes in to account the 1 of the chromeOptions.add

问题 In the image above column B is multiples of A1 and column C is C = C + B (working down the rows) I worked out that in order for C for be 50 in 20 rows A1 has to be 0.2631579 but I'd like to be able to simplify that to a function that will return a list: list = exp(50, 20). I'm not sure about the terminology of such a script so researching beforehand didn't really bring anything up sorry. 回答1: Well based on your problem statement, we know that: B n =(n-1)×a ; and C n =(n-1)×n×a/2 (here a is

问题 I made my ScrolledText scroll automatically to the end, based on this answer. Now I'd like to scroll automatically only if the user is not scrolling manually . I was looking for something like this: self.text.offsetBottom (see my comment in the code below) , but couldn't find it yet. Any ideas? Thanks! import time from Tkinter import * import ScrolledText class Example(Frame): def __init__(self, *args, **kwargs): Frame.__init__(self, *args, **kwargs) self.text = ScrolledText.ScrolledText(self

问题 The objective is to insert a sub_figure in a simple plot as follows: import numpy as np from matplotlib import pyplot as plt X = np.linspace(-6, 6, 1024) Y = np.sinc(X) X_detail = np.linspace(-3, 3, 1024) Y_detail = np.sinc(X_detail) plt.plot(X, Y, c = 'k') sub_axes = plt.axes([0.6,0.6,0.25,0.25]) sub_axes.plot(X_detail, Y_detail, c = 'k') plt.setp(sub_axes) plt.show() The code above gives the following output: The matplotlib documentation says the argument the matplotlib.pyplot.axes()

问题 the following code is very simple, but for some reason, for-loop does not iterate through all handlers of the logger. however, for-loop does iterate through all handlers if we remove my_logger.removeHandler( handler ) in the else clause. any idea if I'm doing anything wrong? import logging import sys stdf = logging.Formatter( "%(message)s" ) filef = logging.Formatter( "%(message)s" ) my_logger = logging.getLogger( "file std logger" ) stdh = logging.StreamHandler( sys.stdout ) stdh