Seaborn Heatmap Colorbar Label as percentage

Create a matplotlib or seaborn histogram that uses the percentage rather than the account?

Specifically I'm dealing with the Kaggle Titanic dataset. I've plotted a stacked histogram which shows ages that survived and died upon the titanic. Code below. figure = plt.figure(figsize=(15,8)) plt.hist([data[data['Survived']==1]['Age'], data[data

d3 gauge chart with labels and percentages?

We're searching for a radial chart that looks like the following. What's most interesting about this chart is that it has the percentage. We've been searching for about three days and we haven't found anything that uses the d3.js library. We found th

Dispersion diagrams in seaborn / matplotlib with a dot size and a color given by a continuous database column

I would like to make a scatter plot in seaborn/matplotlib where the size of points is determined by a (continuous) value in a dataframe, and the color of points is also determined by the continuous value of another column in dataframe. In ggplot, the

Type error in viewing pandas data as a heatmap

I'm trying to visualize a pandas dataframe as a heatmap, and am getting weird errors with all plotting functions I try (I tried with both the DataFrame object, and DataFrame.values array, and nothing changes). I don't understand what could be the rea

Matlab: some problems with HeatMap

Please find below a copy of the HeatMap that I generated with Matlab. I have two problems that I would like to address: 1) As you can see, the HeatMap has just three different values that it displays. Red = 500 Green = 0 Black = 250 Unfortuantely, th

How to pass the percentage of progress in the code behind the Jquery progress bar?

I have a background worker in I would like to pass the percentage counted in progress changed and display it in jquery progress bar. Unfortunately,i found out it only update the progress bar once and only the progress is completed. Jquery $(

How to center stacked barchart labels

I am trying to plot nice stacked percent barchart using ggplot2. I've read some material and almost manage to plot, what I want. Also, I enclose the material, it might be useful in one place: How do I label a stacked bar chart in ggplot2 without crea

\ text does not work in a matplotlib label

I am using matplotlib together with latex labels for the axis, title and colorbar labels While it works really great most of the time, it has some issues when you have a formula using \text. One really simple example. from matplotlib import pyplot as

insert the labels in the proportional bar graph with ggplot2 and geom_text

I am trying to insert labels into a proportional barchart: one label per segment, with as text the percentage of each segment. With the help of thothal I managed to do this: var1 <- factor(as.character(c(1,1,2,3,1,4,3,2,3,2,1,4,2,3,2,1,4,3,1,2))) var

Problem or error in xticklabel_rotate while drawing thermal plane and rotating xtick labels in Matlab

I have been drawing heatmaps with labels in Matlab, mainly using the functions imagesc to draw the heatmap and xticklabel_rotate to rotate the xtick labels. (please see here for xticklabel_rotate). It usually works well. But today I met some problem

Formula for the percentage

I have an int named Value with a random number. I need to display in a label the percentage (0–100%), according to Value. For example, if Value is 30 of 60, then the percentage should be 50%. What formula should I use? (random_value / max_value) * 10

Is there a good way to view a large number of sub-lines (& gt; 500)?

I am still working on my New York Subway data. I cleaned and wrangled the data in such a fashion that I now have 'Average Entries' and 'Average Exits' per Station per hour (ranging from 0 to 23) separated for weekend and weekday (category variable wi

low training score in scikit MLPClassifier (and other classifiers)

(Update: Posted final findings as a separate answer) I am getting started with trying to understand how to use scikit models for training. I've experimented with well known datasets like iris, MNIST etc - they are all well structured data, ready to b

Create a 2D frame pixel grid based on a series of pandas lists

Suppose we have a pandas Series of lists where each list contains some characteristics described as strings like this: 0 ["A", "C", "G", ...] 1 ["B", "C", "H", ...] 2 ["A", "X"