dimple – Plotting amounts as stacked bars for 52 weeks
I’m trying to plot stacked amounts with dimple, for each week in a year.
I’m trying to plot stacked amounts with dimple, for each week in a year.
Does anyone know how to get multiple x-Axes labels in a react-chartjs-2 chart? I see several examples where people are using chart.js but not react-chartjs-2. I suspect react-chartjs-2 may behave slightly differently when it comes to options.scales.xAxes
.
I have a bar graph on one of my React pages. It gets data from props that are passed on from another page. I have a bar graph showing three different pieces of data. One shows, “Correct”, the other shows, “Incorrect”, and the last shows, “Total”. I would like to have the color of each bar be different. I’ve tried using the Cell feature but couldn’t get it to work. I also tried changing the name of each piece of data but no luck. Unfortunately, there’s not a lot of documentation out there for Recharts. Anybody have any ideas?
I generated a bar plot, how can I display the value of the bar on each bar?
I want to plot data of the following form, using matplotlib bar plot:
I’m trying to “robustly” center the data labels in a stacked bar chart. A simple code example and the result are given below. As you can see, the data labels aren’t really centered in all rectangles. What am I missing?
I am trying to replicate the following image in matplotlib and it seems barh
is my only option. Though it appears that you can’t stack barh
graphs so I don’t know what to do
How to plot multiple bars in matplotlib, when I tried to call the bar function multiple times, they overlap and as seen the below figure the highest value red can be seen only.
How can I plot the multiple bars with dates on the x-axes?
I came across a tricky issue about the matplotlib in Python. I want to create a grouped bar chart with several codes, but the chart goes wrong. Could you please offer me some advice? The code is as follows.
I’m looking to see how to do two things in Seaborn with using a bar chart to display values that are in the dataframe, but not in the graph