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Mastering Development

How to plot West & East State magnitudes using Bubble Map

I don’t have any plots for ‘mag’ showing on the Bubble Map. I’ve looked at Plotly’s examples, but not much explanation is given on how to reproduce same plot (https://plotly.com/python/bubble-maps/#united-states-bubble-map) Also how can I show only some states ie: West and East coast versus all state magnitudes appearing on plot? Sample data: state latitude longitude […]

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CMS Mastering Development Wordpress

Show products per page drop down

So i have a wordpress woocommerce site and I would like to add a button under the pagenumbers (do you call this pagination?) so the user can select himself how many products to view per page, ie 20, 40, 80 etc. I would like it to be at the bottom under the page numbers, I […]

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Mastering Development

How to Un-Sort The legends in the graph in R?

I am not an expert in R. I am having an issue, the legends are sorted alphabetically. I cannot arrange them manually because I have 87 patients and each patient has 300 days and the status (category) changes every day so i want to plot the graph exactly like it has in the source. ggplot(data […]

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Mastering Development

Pandas: dynamically append dataframe column into a running total dataframe within a loop

I am writing a simulation and I am trying to append the result of EACH ITERATION INTO a dataframe that keep track of all the iterations. While everything works fine with collecting the results, I cannot find a way to append the results into a new column each time. I have been banging my head […]

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Mastering Development System & Network

How to Convert Arrays in SQL to Int

Can someone let me know how to convert/replace/remove array datatypes from my tables into Integers. I am trying to convert/replace the Arrays in columns, Monday, Tuesday, Wednesday, Thursday, Friday to integers I have used the following code on the Friday field: SELECT CONVERT(INT, consumersearchtest.Friday) AS FridayFROM dbo.consumersearchtest But I get the following error: 1 Conversion […]

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Mastering Development

Making A Game in Javascript, Wondering why my object speeds up every-time I press the left or right arrow button

It is just the beginning process of the game, but I am wondering why my rectangle speeds up every time I press the left or right arrow button. I just want to make is move a little and stop when the buttons are released and have the same speed every-time. <body> <canvas height="400" width="400" id="myCanvas"></canvas> […]

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Mastering Development

cannot arrange numbers into shape (n,n) matrix

I have the following code that generates a fractal image, the problem is how to reconstruct numbers to be a matrix. from PIL import Image from pylab import * from numpy import NaN import numpy as np import matplotlib.pyplot as plt def julia(C): X = arange(-1.5, 1.5, 0.05) Y = arange(-1.5, 1.5, 0.05) pixel = […]

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Mastering Development

How to replace deprecated function RectangularNode in AnyLogic?

I am trying to run an AnyLogic model developed a few years ago and I do not have access to the person who coded it. I have very limited knowledge of Java. The model is built based on data being read in from an XML file. The first step is to read the layout data […]

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Mastering Development

Algorithm to find string which is longest and contains lowest possible numbers?

I have to find string out of these which is longest and contains the lowest possible numbers. 10,20 10,20,30 10,30,40 30,40,50 Ans 10,20,30 I am trying to think of algorithm which can be used to find such record. Record will not contain duplicate number for example e.g 10,10,20 won’t be case.

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Mastering Development

Search and process data from multi-index DataFrames

I have two dataframes df2, with the payment statistics (that have the probability of the client pay a certain debt) and df3 with new clients data. import pandas as pd d = {‘City’: [‘Tokyo’,’Tokyo’,’Lisbon’,’Tokyo’,’Tokyo’,’Lisbon’,’Lisbon’,’Lisbon’,’Tokyo’,’Lisbon’,’Tokyo’,’Tokyo’,’Tokyo’,’Lisbon’,’Tokyo’,’Tokyo’,’Lisbon’,’Lisbon’,’Lisbon’,’Tokyo’,’Lisbon’,’Tokyo’], ‘Card’: [‘Visa’,’Visa’,’Master Card’,’Master Card’,’Visa’,’Master Card’,’Visa’,’Visa’,’Master Card’,’Visa’,’Master Card’,’Visa’,’Visa’,’Master Card’,’Master Card’,’Visa’,’Master Card’,’Visa’,’Visa’,’Master Card’,’Visa’,’Master Card’], ‘Colateral’:[‘Yes’,’No’,’Yes’,’No’,’No’,’No’,’No’,’Yes’,’Yes’,’No’,’Yes’,’Yes’,’No’,’Yes’,’No’,’No’,’No’,’Yes’,’Yes’,’No’,’No’,’No’], ‘Client Number’:[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22], ‘DebtPaid’:[0.8,0.1,0.5,0.30,0,0.2,0.4,1,0.60,1,0.5,0.2,0,0.3,0,0,0.2,0,0.1,0.70,0.5,0.1]} df = pd.DataFrame(data=d) df2=df.groupby([‘City’,’Card’,’Colateral’])[‘DebtPaid’].\ value_counts(bins=[-0.001,0,0.25,0.5,0.75,1,1.001,2],normalize=True) […]