charted | charting tool | Chart library

I am just trying to up my understanding of plotting Pandas Series data using Booleans to mask out values I don't want. I am not sure that what I have is the correct or efficient way to do it.

Don't get me wrong, I do get the chart I am after but are my assumptions on the syntax correct?

All I want to do is plot the non zero values on my chart. I have not formatted the charts as I would normally as this was just a test of Booleans and masking data and not for creating report grade charts.

If I masked this as a Pandas DataFrame I would do the following if df1 were my DataFrame. I understand this and it makes sense that the df1[mask] returns my values as required

I'm creating an interface where a user can click on buttons that have the names of CSVs in order to see the combined data they select charted.

I've set it up so that each button click adds the name of a CSV to an array (called chosenData). Then I'm using a for loop to cycle through the chosenData array, grab the data from github, and push all of the data into another array called allData.

However, the data doesn't combine correctly. I've been pulling my hair out over this problem for hours and haven't been able to resolve it, so any help would be greatly appreciated!

Code below. Here's also a jsfiddle

I'm looking to create a drilldown using the CChartBar available in the CoreUI documentation here: https://coreui.io/react/docs/3.3/components/CCharts/

I need to be able to get the month from the bar that is clicked, and when the bar is clicked, it needs to take the user to another page. How do I get the information? How to I make each bar clickable to send the user to the table page?

Currently here is the html

I want to write a value to a text file with a timestamp. The data/value gets updated every few minutes, but I only want to record the last value and its date. The next day I want to start again with a new line but keeping the previous value. The output will then be charted showing daily values.

I can do this with an if, then, else loop, but I imagine there's a more elegant awk, sed, 'something' solution.

This will be run by a cron job.

Day 1. Every 5 minutes insert a row with $date, $value

During the same day keep updating that row

Day 2. Insert a new row and repeat

Desired output

Day 1 10am

I am working with data that looks like this:

I am working on a charting module where I can pass on dataframe and the module will create reports based on plots generated by calling few functions as mentioned below.

I am using Altair for plotting and "Datapane" for creating the report, the documentation of the same can be found here : https://datapane.github.io/datapane/

My DataFrame looks like this

I'd like to be able to modify the underlying data being charted. For example, I have:

I'm making a web-app, but have a problem replacing my current-weather-icon class in the right moment. As is, classes are assign without clearing, and it just doesn't work.

I fetch a JSON response and insert the first (correct) class by

I have a subplot charted which has the categories that need to be displayed in a specific order. I'm working on the visual using PowerBI Python Script, so it looks like I'm unable to sort the dataframe as PowerBI does it automatically. In my dataset I have fruit_category, rnk, quantity_sold, forecast, goal, and stock quantity. The dataset should be ranked by rnk as it specifies the sort order for the fruit_category. However, I tried doing