I have my class defined in "unscaled.BL_yFYield_CSUSHPINSA" (basically, 1:up 0:down). I wish to color the scatterplot into classes akin to how this example demonstrates species are supposedly highlighted by 3 colors (note, I've reduced my example to two colors).
http://www.sthda.com/english/wiki/scatter-plot-matrices-r-base-graphs
this image specifically is what I'm trying to achieve (coloring based on my_cols and a categorical variable). In the iris example, I only saw two species (when I iterated iris$species), but the online code uses 3 colors in the graph, so I'm not sure how that works data.
My example I have two colors for two classes (however, eventually I wish to extend my number of classes beyond 2).
Example, assuming BL_yFYield_CSUSHPINSA had the following values for categorical 0, 1, 2 and I had 3 colors defined in my_cols.
Right now when I graph the output, this is what I get
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA],
lower.panel = NULL)
I thought about it. The answer was in my screenshot. my_cols is skipping values with 0 in BL_yfield... (treating it as null). I could try to fix it after the fax, or I could add 1 to my original dataset to remove 0's...
problem solved
pre_MyData <- read.csv(file="https://raw.githubusercontent.com/thistleknot/FredAPIR/master/reduced.csv", header=TRUE, sep=",")
MyData <- pre_MyData[,11:18]
my_cols <- c("#00AFBB", "#E7B800")
pairs(MyData[,1:8], pch = 19, cex = 0.5,
col = my_cols[MyData$unscaled.BL_yFYield_CSUSHPINSA+1],
lower.panel = NULL)
Related
My dataframe has a column 'rideable_type' which has 3 unique values:
1.classic_bike
2.docked_bike
3.electric_bike
While plotting a barplot using the following code:
g = sns.FacetGrid(electric_casual_type_week, col='member_casual', hue='rideable_type', height=7, aspect=0.65)
g.map(sns.barplot, 'day_of_week', 'number_of_rides').add_legend()
I only get a plot showing 2 unique 'rideable_type' values.
Here is the plot:
As you can see only 'electric_bike' and 'classic_bike' are seen and not 'docked_bike'.
The main problem is that all the bars are drawn on top of each other. Seaborn's barplots don't easily support stacked bars. Also, this way of creating the barplot doesn't support the default "dodging" (barplot is called separately for each hue value, while it would be needed to call it in one go for dodging to work).
Therefore, the recommended way is to use catplot, a special version of FacetGrid for categorical plots.
g = sns.catplot(kind='bar', data=electric_casual_type_week, x='day_of_week', y='number_of_rides',
col='member_casual', hue='rideable_type', height=7, aspect=0.65)
Here is an example using Seaborn's 'tips' dataset:
import seaborn as sns
tips = sns.load_dataset('tips')
g = sns.FacetGrid(data=tips, col='time', hue='sex', height=7, aspect=0.65)
g.map_dataframe(sns.barplot, x='day', y='total_bill')
g.add_legend()
When comparing with sns.catplot, the coinciding bars are clear:
g = sns.catplot(kind='bar', data=tips, x='day', y='total_bill', col='time', hue='sex', height=7, aspect=0.65)
I plotted a scatterplot with seaborn library and I want to change the legend text but dont know how to do that.
example:
The following is iris dataset with species columns encoded in 0/1/2 as per species.
plt.figure(figsize=(8,8))
pl = sns.scatterplot(x='petal_length', y ='petal_width', hue='Species', data=data, s=40,
palette='Set1', legend='full')
I want to change the legends text from [0, 1, 2] to ['setosa', 'versicolor', 'virginica'].
can anybody help.
First, Seaborn (and Matplotlib) usually picks up the labels to put into the legend for hue from the unique values of the array you provide as hue. So as a first step, check that the column Species in your dataframe actually contains the values "setosa", "versicolor", "virginica". If not, one solution is to temporarily map them to other values, for the purpose of plotting:
legend_map = {0: 'setosa',
1: 'versicolor',
2: 'virginica'}
plt.figure(figsize=(8,8))
ax = sns.scatterplot(x=data['petal_length'], y =data['petal_width'], hue=data['species'].map(legend_map),
s=40, palette='Set1', legend='full')
plt.show()
Alternatively, if you want to directly manipulate the plot information and not the underlying data, you can do by accessing the legend names directly:
plt.figure(figsize=(8,8))
ax = sns.scatterplot(x='petal_length', y ='petal_width', hue='species', data=data, s=40,
palette='Set1', legend='full')
l = ax.legend()
l.get_texts()[0].set_text('Species') # You can also change the legend title
l.get_texts()[1].set_text('Setosa')
l.get_texts()[2].set_text('Versicolor')
l.get_texts()[3].set_text('Virginica')
plt.show()
This methodology allows you to also change the legend title, if need be.
I am using a Range chart to create a Gannt Chart of sorts. I am attempting to do two things:
1) Change the background colour of the range chart based upon one of two Category groups, I have two groups, an outer and an inner, and I would like the background colour to change based on the outer grouping. I have a piece of code that determines a colour but, i'm having trouble applying that to the background. I was hoping interlacing colour would help me, that you aren't able to determine the frequency of the interlacing from what I can tell.
The code I'm using is:
Private colorPalette As String() = { "#C85200", "#FF800E", "#5F9ED1",
"#2CA02C", "#A59D93", "#B8341B", "#352F26", "#F1E7D6", "#E16C56", "#CFBA9B"}
Private count As Integer = 0
Private mapping As New System.Collections.Hashtable()
Public Function GetColor(ByVal groupingValue As String) As String
If mapping.ContainsKey(groupingValue) Then
Return mapping(groupingValue)
End If
Dim c As String = colorPalette(count Mod colorPalette.Length)
count = count + 1
mapping.Add(groupingValue, c)
Return c
End Function
2) Position the X and Y axis labels between the major grid lines. The X axis is a date, and the end user would like the date to be between the two grid lines (representing a day) rather than on each grid line, I've had a look around but can't seem to find anything relevant.
Any help or guidance would be appreciated, thanks!
I have used CCC Heat Grid in CDE to create a bubble chart with bubbles of different colors. My data set has only 6 values: (1, 1.1, 2, 2.1, 3, 3.1). I have sizeRole property to "value" so that the size of the bubble varies based on the magnitude of these six values. Alternative, I could have set colorRole property to "value". I have set three colors: green (1), yellow (2) and red (3).
Now, what I want to have 1 as green, 2 as yellow and 3 as red; and biggest constant size for 1.1, 2.1 and 3.1. The values 1.1, 2.1 and 3.1 represent alarms in my data set, so I want them to be of biggest size bubble or some other differentiating visual element.
I tried the following in pre-execution but no luck
function changeBubbles(){
var cccOptions = this.chartDefinition;
// For changing extension points, a little more work is required:
var eps = Dashboards.propertiesArrayToObject(cccOptions.extensionPoints);
// add extension points:
eps.bar_shape = function getShape(){
var val = this.scene.vars.value.value;
if(val == 1.1 || val == 2.1 || val == 3.1){
return 'cross';
}
else {}
};
// Serialize back eps into cccOptions
cccOptions.extensionPoints = Dashboards.objectToPropertiesArray(eps);
}
How can we achieve this?
I hope the answer is still relevant, given that this is a late response.
To use bubbles you should have useShapes: true.
You can set a different constant shape by using the shape option. For example, shape: "cross".
To have the bubble size be constant, you should set the "sizeRole" to null: sizeRole: null. Bubbles will take all of the available "cell" size.
Then, the "value" column should be picked up by the "colorRole", but to be explicit, specify: colorRole: "value".
By default, because the color role will be bound to a continuous dimension ("value"), the color scale will be continuous as well.
To make it a discrete scale, change the "value" dimension to be discrete:
dimensions: {
"value": {isDiscrete: true}
}
Finally, to ensure that the colors are mapped to the desired values, specify the "colorMap" option:
colorMap: {
"1": "green",
"2": "yellow",
"3": "red"
}
That's it. I hope this just works :-)
I have a list of values each with latitude and longitude. I'm looking to create a translucent heatmap image to overlay on Google Maps. I know there are server side and flash based solutions already, but I want to build this in javascript using the canvas tag.
However, I can't seem to find a concise description of the algorithm used to turn coordinates and values into a heatmap. Can anyone provide or link to one?
Thanks.
The basic idea would be to create a grid and project every lat,lng coord to that grid. I would use a 2D array of ints.
The psuedo-code would be:
for each coord
cell = coord projected to grid
increment cell value
end
for 0 to # of passes
for each row
for each col
if grid[row,col] > 0 then
grid[row,col] += 1
increment_adjacent_cells(row, col)
end
end
end
end
So, the idea is that the higher the int value, the hotter that cell is. increment_adjacent_cells should increment the values in all 8 adjacent cells.
I have tried to solve this in javascript using the canvas element, here is my current result:
http://gist.github.com/346165
I have to fix the gaussian filter and the color mapping, because it doesn't give good results currently.
A faster way of building a heatmap could be to use a queue:
Pseudocode:
Add an element to queue (first in heatmap(x,y, val))
While (!queue.isEmpty())
{
elem = queue.pop()
queue.push(elem.x + 1, elem.y, val-1)
queue.push(elem.x - 1, elem.y, val-1)
queue.push(elem.x, elem.y + 1, val-1)
queue.push(elem.x, elem.y - 1, val-1)
}
This saves on tons of iterations!
Look at this project if you are looking for something that looks more like 'tv weather maps':
https://github.com/optimisme/javascript-temperatureMap