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Data visualization

Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.

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superset
dash
Mars-or-bust
Mars-or-bust commented Oct 15, 2021

Bug summary

The ax.invertxaxis() and ax.invert_yaxis() function both produce the same output, a scatterplot with a flipped X axis.

Code for reproduction

from mpl_toolkits import mplot3d
import matplotlib.pyplot as plt

ax = plt.axes(projection='3d')
plt.title("Invert Z")
ax.scatter3D(1,1,1)
# ax.invert_xaxis()
ax.invert_yaxis()
# ax.invert_zaxis()

Actual o

becca-bailey
becca-bailey commented Aug 4, 2021

Bugs and Questions

The Problem

While I was debugging another issue, I noticed that the example included two bars with the same x and y values, and when you mouse over one of these bars both tooltips show up. It seems like Victory uses the x/y value to determine whether the tooltip is active when there is not another identifier.

Reproduction

https://codesandbox.io/s/frosty-du

wetneb
wetneb commented Oct 23, 2021

The labels of the "regular expression" checkboxes are not properly linked to the corresponding checkbox.

To Reproduce

Steps to reproduce the behavior:

  1. First, open a project and create two text filters
  2. Then, click on the label (not the checkbox) "regular expression" in the second text facet

Current Results

![bug](https://user-images.githubusercontent.com/309908/138558817-712

Jeernej
Jeernej commented Aug 22, 2021

Hi!

My suggestion/request is simple. When filtering the data, sometimes one needs to use the edge values of the data distribution in the filter histogram.

For example, one wants to choose the data of an hourly distribution (from 0:00 to 24:00) for the time between 22:00 and 6:00 in the nighttime and discard the data from 6:00 till 22:00 during the daytime.

So, when filtering the data with

Data-Science-For-Beginners
Open

Tests

leeoniya
leeoniya commented Dec 14, 2019

it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.

now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.

a lot of code can already be regression-tested by simply running all the demos and val

Created by Charles Joseph Minard

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