At times, my data set will emit output that contains two examples instead of two, owing to the length of the item. I am wondering if, when two examples are emitted, that I can split them and count them as two batches instead of one at the collate_fn phase of the data loader, or if ..
I am trying to merge two json files namely playlist_track_0.json and playlist_track_1.json with the below code. I am opening the files first and then loading it in ‘mergejson’ import json import pandas as pd with open(‘playlist_track_0.json’) as f1: # open the file data1 = json.load(f1) with open(‘playlist_track_1.json’) as f2: # open the file data2 = ..
Let’s say we have the list L = [‘a’, ‘!b’, ‘!c’, ‘d’, ‘e’, ‘!f’, ‘g’, ‘h’] and we want to concatenate each element with the previous one if it starts with !. Expected output: M = [‘a!b!c’, ‘d’, ‘e!f’, ‘g’, ‘h’] This works but it’s probably unnecessarily complex to join the list into a string, ..
I am making a chat filter bot to block swear words in Discord servers, and it works great, but people can easily bypass it by putting spaces in it. I had finally fixed this issue, but it blocks words that have bad words in them, such as "class". Does anyone know how to fix this? ..
Here is code I’ve amended from https://matplotlib.org/3.3.3/gallery/lines_bars_and_markers/bar_stacked.html to stack 3 instead of 2 categories : for a stacked barchart: labels = [‘G1’, ‘G2’, ‘G3’, ‘G4’, ‘G5’] p1 = [20, 35, 30, 35, 7] p2 = [25, 32, 34, 20, 55] p3 = [21, 361, 341, 205,151] width = 0.35 # the width of the bars: ..
I have two different dataframes, both containing a common element (identifier). I want to copy data from df1 for each identifier in df2 (each identifier can repeat maximum 5 times in df1) df1 —data vertically id_column value1 identifier1 some data1 identifier1 some data2 identifier1 some data3 identifier2 some data2 identifier2 some data1 identifier3 some data3 ..
If I have a DataFrame with numeric values in it, how do I determine which column contains the max value? EEM_X EFA_X QQQ_X SPY_X 126 0.1898 0.1490 0.1025 0.0965 127 0.1911 0.1476 0.0678 0.0793 128 0.1986 0.1590 0.0750 0.0893 129 0.2180 0.1703 0.0783 0.0924 I want to add a new column [‘MAX’] that contains the ..
Would scraping the entire html for containing "cloudflare" achieve this? Source: Python..
Currently the text I am dealing with are dates with a somewhat standard format, however the data isn’t super clean. For example the text can be in these formats: Jan. 1, 2021 (dot after Jan) Jan, 1 2021 (comma after Jan) January, 1 2020 (Full month with comma) Jan, 1 2020 (two spaces after Jan, ..