joint | proven SVG-based JavaScript diagramming library powering | Animation library

I try to implement function composition extending Function.prototype with Symbol.

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This code follows the Joint account filings not the Singles account when I type in 0, I can't figure it out. Is it coded wrong? am I missing something? I cant figure out how to fix it. Thanks!

Problem Description: The United States federal personal income tax is calculated based on filing status and taxable income. There are four filing statuses: single filers and married filing jointly. The tax rates vary every year. Table 3.2 shows the rates for 2009. If you are, say, single with a taxable income of $10,000, the first $8,350 is taxed at 10% and the other $1,650 is taxed at 15%. So, your tax is $1,082.5. Table 1 2009 U.S. Federal Personal Tax Rates Marginal Tax Rate Single Married Filing Jointly or Qualified Widow(er) 10% $0 – $8,350 $0 – $16,700 15% $8,351– $33,950 $16,701 – $67,900 25% $33,951 – $82,250 $67,901 – $137,050 28% $82,251 – $171,550 $137,051 – $208,850 33% $171,551 – $372,950 $208,851 – $372,950 35% $372,951+ $372,951+ You are to write a program to compute personal income tax. Your program should prompt the user to enter the filing status and taxable income and compute the tax. Enter 0 for single filers and 1 for married filing jointly.

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How do you size the axes of a marginal plot to match the size of a non-square central plot using matplotlib?

In the image, you'll see that the top marginal plot is too wide, even though it shares the x-axis labels.

Context: I'm trying to create a joint plot like in Seaborn, but with a non-square heatmap at center and bar graphs as the marginal plots. JointGrids isn't designed to work with heatmaps (which is okay, on to matplotlib!). Merging a matplotlib heatmap with subplot barplots gets me close, but I find one bargraph's axis is larger than the central heatmap even when I share axes.

Minimum working example:

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Background: I am trying to normalize a json file, and save into a pandas dataframe, however I am having issues navigating the json structure and my code isn't working as expected.

Expected dataframe output: Given the following example json file (uses randomized data, but exactly the same format as the real one), this is the output I am trying to produce -

New Entity Group Entity ID Adjusted Value
(1/31/2022, No Div, USD) Adjusted TWR
(Current Quarter No Div, USD)) Adjusted TWR
(YTD, No Div, USD) Annualized Adjusted TWR
(Since Inception, No Div, USD) Inception Date Risk Target Portfolio_1 $260,786 (44.55%) (44.55%) (44.55%) * Apr 7, 2021 N/A The FW Irrev Family Tr 9552252 $260,786 0.00% 0.00% 0.00% * Jan 11, 2022 N/A Portfolio_2 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth FW DAF 10946585 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth Portfolio_3 $60,143,818 (4.42%) (4.42%) 7.75% * Dec 17, 2020 - The FW Family Trust 13014080 $475,356 (6.10%) (6.10%) (3.97%) * Apr 9, 2021 Aggressive FW Liquid Fund LP 13396796 $52,899,527 (4.15%) (4.15%) (4.15%) * Dec 30, 2021 Aggressive FW Holdings No. 2 LLC 8413655 $6,768,937 (0.77%) (0.77%) 11.84% * Mar 5, 2021 N/A FW and FR Joint 9957007 ($1) - - - * Dec 21, 2021 N/A

Actual dataframe output: despite my best efforts, I have only been able to get bolded rows to map into the dataframe:

New Entity Group Entity ID Adjusted Value
(1/31/2022, No Div, USD) Adjusted TWR
(Current Quarter No Div, USD)) Adjusted TWR
(YTD, No Div, USD) Annualized Adjusted TWR
(Since Inception, No Div, USD) Inception Date Risk Target Portfolio_1 $260,786 (44.55%) (44.55%) (44.55%) * Apr 7, 2021 N/A Portfolio_2 $18,396,664 (5.78%) (5.78%) (5.47%) * Sep 3, 2021 Growth Portfolio_3 $60,143,818 (4.42%) (4.42%) 7.75% * Dec 17, 2020 -

JSON file: this is the file I am trying to normalize and map into a dataframe:

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I want to estimate parameters of negative binomial distribution using MCMC Metropolis-Hastings algorithm. In other words, I have sample:

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I have a heatmap that looks like this (from: Plotting a 2D heatmap with Matplotlib).

I am trying to create a heatmap that don't have the ticklabels for each value, but group by ranges. For example, the first three tick marks have not been signed but have been signed with one joint signed 'Apples'.

It seems easy to disable the ticklabels at all with the use of:

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I have 3 tables. Artists, SongArtists, Songs.

Song can have multiple artists. Therefore, I have joint table called SongArtists and table structure is -

Songs ID | Name | URL | ViewCount | CreatedAt | UpdatedAt

Artists ID | Name | URL | CreatedAt | UpdatedAt

SongArtists ID | SongID | ArtistID

Song table has view_count column to store how many times the song is viewed.

I want to get top 10 artists based on their song view count.

I tried below query but same artist is shown twice. I cannot use group by because I need to songs.view_count to sort.

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I would like to create a map in JavaScript with two keys or need to know if there is a better solution. I need to know if key1 is part of the collection and if so get data1 and in another case I need to know if a value of type key2 is part of the collection and get its data. How do you do this in JavaScript?

Example:

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I have a joint probability density f(x,y,z) and I wish to find the conditional distribution X|Y=y,Z=z, which is equivalent to treating x as data and y and z as parameters (constants).

For example, if I have X|Y=y,Z=z being the pdf of a N(1-2y,3z^2+2), the function would be:

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