## Using the Histogram Labeling Function How do you limit the check marks to 3 digits?

Histogram[RainYr, {1}, CDF,


PlotLabel ->
"Cumulative Rainfall Distribution in Tuscon, Arizona",
LabelingFunction -> Above AxesLabel -> {"Yearly RainFall inches"}]

Enter image description here

## Google Sheets: histogram of time data (axis numbering)

I tried to create a histogram of my data that looks like this:

12:00:02 PM

3:00:00 PM

12:30:00 PM

12:30:00 PM

2:00:00 PM

3:00:00 AM

…



I highlighted the data and selected Insert> Chart> Histogram.

And got:

The axis labels are completely screwed:

1. It is formatted as numbers instead of dates!
2. Some entries are larger than 1!

I tried everything I can think of.
How do I fix it?

## Is there an app / command that creates a histogram of using BTRFS blocks?

The btrfs balance command uses block usage filters to limit the action.

Is there an app or command that creates a histogram or even a list of BTRFS block usage to investigate the use of BTRFS blocks?

## Histogram of the words in the Spanish dictionary

I'm trying to create exactly the same histogram as below, but in Spanish.

Histogram[{StringLength /@ DictionaryLookup[], dataPnJ}, {1}, "Probability"]


## Converts the histogram by the frequency of the string length in percent

I have the histogram:

dataPnJ = StringLength[ StringSplit[ExampleData[{"Text", "PrideAndPrejudice"}]]]; Histogram[dataPnJ]

I'm trying to show the histogram what percentage of the total pool is the string length. So if 30% of the text consists of 3 letters, the bin is marked 3 and raised to 30%.
Thanks.

## Charts – create a histogram of a dictionary

But avoid

• Make statements based on opinions; Cover them with references or personal experience.

Use MathJax to format equations. Mathjax reference.

## How can I handle a two-peak histogram with a flat and a steep peak?

There are a number of ways to stretch the contrast of a low dynamic range image, with the actual effects (and side effects) slightly different. One of the most common is what Photoshop calls "layers" – you essentially select the layers in the histogram that you want to call black, white, and mid-gray. Here is a decent tutorial based on Photoshop's version of this tool. Depending on which toolset you use, other adjustments are the Brightness / Saturation / Contrast group, Gamma Correction or Curves, or something like the Ansel Adams zone system (which is pretty well implemented in darktable).

No matter which method you use, you need to be careful to avoid unwanted side effects such as posterization / streaking, unnatural color changes, excessive noise reduction or the artificial appearance of the image. You have to play with the relevant parameters to see what is acceptable to you.

## Python – Plot histogram and QQ plots

I'm new to Python, and have written a code to draw the histogram of a data frame and its QQ chart to verify normalcy. However, I want to know how you can further optimize and possibly reduce the code to discover the power of Python.

plt.subplots(3,2)
j=0
for i in range(1,7):
plt.subplot(3,2,i)
if i%2 != 0:
df1_log(l(j)).hist()
else:
stats.probplot(df1_log(l(j)),dist='norm',plot=plt)
j=j+1


## Live View – Does a manufacturer's EVF camera (or alternative firmware) implement multicolored / incorrect focus points and / or histogram positions?

It would be logical and helpful to use wrong colors (possibly superimposed on a b / w EVF display) to indicate how strong a peak contrast is. Alternatively, this could be a more precise way to For example, to display zone system zones at selected exposure (not just zone 9/10, as the usual "zebra" feature does).

Has a manufacturer already implemented such a function? Could it be realistically implemented in eg Magic Lantern?