[Solved] Merging elements in a list until certain text appears

Here’s a very basic solution: list = [‘BHX’, ‘AR’, ‘DEFab’, ‘ABR’, ‘DEFyr’, ‘HYt’, ‘wqw’, ‘DEF-a’] merged_list = [] current=”” for s in list: if s.startswith(‘DEF’): merged_list.append(current + ‘ ‘ + s) current=”” else: current += s 1 solved Merging elements in a list until certain text appears

[Solved] Pandas – Count Vectorize Series of Transaction Activities by User [closed]

The pivot_table function in pandas should do what you want. For instance: import pandas as pd frame = pd.read_csv(‘myfile.csv’, header=None) frame.columns = [‘user_id’, ‘date’, ‘event_type’] frame_pivoted = frame.pivot_table( index=’user_id’, columns=”event_type”, aggfunc=”count” ) In general, using vectorized Pandas functions is much faster than for loops, although I haven’t compared the performance in your specific case. 0 … Read more

[Solved] Automatic Summarization : Extraction Based [closed]

There is not one single algorithm for extraction based summarization. There are several different algorithms to choose from. You should choose one that fits your specific needs. There are two approaches to extraction based summarization: Supervised learning – you give the program lots of examples of documents together with their keywords. The program learns what … Read more

[Solved] calling functions for a password checker

for i in range(0,5): password = str(input(“Enter password: “)) password_checker_result = password_checker(password) if not password_checker_result: print(“Invalid password”) else: print(“Valid password”) break This code will work for you, now let me explain: The flow is as following: This is done 5 times (is inside the for loop): 1) Request password from user. 2) Check if password … Read more

[Solved] Extract all pages from a Table

To scrape all the pages, observe that trailing parameter in the url increments by 2, rather than 1. Thus, the code below finds the maximum page in the listing, multiples the latter result by 2, and utilizes the result as a range: import requests, re, contextlib from bs4 import BeautifulSoup as soup import csv @contextlib.contextmanager … Read more

[Solved] How do I plot an 3D graph using x,y and z axis?

import csv from pandas import read_csv filename=”Left.csv” data = read_csv(filename) print(data.shape) #renaming existing columns data.rename(columns={‘epoc (ms)’: ‘epoc’, ‘timestamp (-04:00)’: ‘timestamp’, ‘elapsed (s)’: ‘elapsed’ , ‘x-axis (g)’: ‘xaxis’, ‘y-axis (g)’ : ‘yaxis’ , ‘z-axis (g)’ : ‘zaxis’}, inplace=True) from matplotlib import pyplot data.hist() data.plot(kind=’density’, subplots=True, layout=(3,3), sharex=False) from pandas.plotting import scatter_matrix scatter_matrix(data) pyplot.show() X = dataset[: … Read more

[Solved] Don’t understand this “NameError: name ‘self’ is not defined” error [closed]

From the exception it seems that you have tried to call my_wallet.checkBalance passing self as parameter. Try to do my_wallet.checkBalance() instead of my_wallet.checkBalance(self) self parameter is passed automatically to class methods in python 11 solved Don’t understand this “NameError: name ‘self’ is not defined” error [closed]

[Solved] splitting url and getting values from that URl in columns

try using a str.split and add another str so you can index each row. data = [{‘ID’ : ‘1’, ‘URL’: ‘https://ckd.pdc.com/pdc/73ba5189-94fd-44aa-88d3-6b36aaa69b02/DDA1610095.zip’}] df = pd.DataFrame(data) print(df) ID URL 0 1 https://ckd.pdc.com/pdc/73ba5189-94fd-44aa-88d… #Get the file name and replace zip (probably a more elegant way to do this) df[‘Zest’] = df.URL.str.split(“https://stackoverflow.com/”).str[-1].str.replace(‘.zip’,”) #assign the type into the next column. … Read more

[Solved] Merge all items in a list [duplicate]

Using map + lambda: xList=[‘abc’,’zxc’,’qwe’] yList=[1,2,3] print(list(map(lambda x,y: x+str(y),xList,yList))) Output: [‘abc1’, ‘zxc2’, ‘qwe3’] 0 solved Merge all items in a list [duplicate]