I have some data that I was wondering I could graph with time?
Basically first "graph" would be at time 0 which for example would be X vs Y, then second "graph" would be at time 0.5 seconds which is again X vs Y etc..
Maybe this will help explain my case:
Time (s) X Y
0 1 1
0.5 2 2
1 3 3
1.5 4 4
2 5 5
2.5 6 6
So according to the table above the values I want to graph are X vs Y, but I have so many time points of X & Y. Is it possible with VBA to produce an animation of X vs Y that loops through all the time points I have?
I tried to google alternatives but didn't find what I want, maybe Im looking in the wrong place? Is it possible with VBA? If not is there any software that can do this for me? The graph doesnt have to update automatically, I dont mind pressing a button for it to jump to the next time interval (Without creating a new graph).
Take a look at Power BI Designer (and the Power BI service, of course). The Scatter chart in that tool can take a value for the play axis, so the data can be played as an animation.
You could also use Power View in Excel 2013. I created a Power View scatter chart in Excel 2013 and clipped the animation to YouTube.
A sample file with a Power View and several series with a play axis can be accessed on my OneDrive
Related
I am constructing a pdf matrix, for an data which looks like:
Date
Reference
Secondary
10.01.2023
2
4
11.01.2023
5
6
12.01.2023
5
3
I formed a matrix between Reference and Secondary using pd.crosstab and normalizing it column wise and later plotted it using seaborn.heatmap. It looks something like this:
Please ignore the lower panel. The green tabs are column normalised pdf matrix for the Reference and the Secondary from the above table. X-axis is the Secondary and y-axis is the Reference. My problem is matrix is not populated for higher bins. For example in the figure you see in the x-axis, the bin 17 is missing. It simply means that Secondary has no values on overlapping days with the Reference. However, I want to populate this bin (bin 17) by doing a Monte Carlo simulation and getting a distribution like other bins.
Is there any easy way to do this?
In Pandas OLS the window size is fix length. How can I achieve set the window size based on index instead of number of rows?
I have a series where it has variable number of observations per day and I have 10 years history of data, so I want to run rolling OLS on 1 year rolling window. loop through each date is a bit too slow, anyway to make it faster? Here is the example of the data.
Date x y
2008-1-2 10.0 2
2008-1-2 5.0 1
2008-1-3 7.0 1.5
2008-1-5 9.0 3.0
...
2013-5-30 11.0 2.5
I would like something simple like pandas.ols(df.y, df.x, window='1y'), rather than looping each row since it will be slow to do the loop.
There is method for doing this in pandas see documentation http://pandas.pydata.org/pandas-docs/dev/computation.html#computing-rolling-pairwise-correlations:
model = pandas.ols(y=df.y, x=df.x, window=250)
you will just have to provide your period is a number of intervals on frame instead of '1y'. There are also many additional options that you might find useful on your data.
all the rolling ols statistics are in model
model.beta.plot()
to show rolling beta
I am trying to implement Naive Bayes Algorithm - by writing my own code in MATLAB. I was confused what distribution to choose for one of the continuous attributes. It has values as follows:
MovieAge :
1
2
3
4
..
10
1
11
2
12
1
3
13
2
1
4
14
3
2
5
15
4
3
6
16
5
4
....
32
9
3
15
Please let me know which distribution to use for such data? and in my test set, this attribute will contain values (some times) that are not included in training data. how to handle this problem? Thanks
15
Like #Ben's answer, starting with Histogram sounds good.
I take your input, and the histogram looks like below:
Save your data into a text file called histdata, one line per value:
Python code used to generate the plot:
import matplotlib.pyplot as plt
data = []
for line in file('./histdata'):
data.append(int(line))
plt.hist(data, bins=10)
plt.xlabel('Movie Age')
plt.ylabel('Counts')
plt.show()
Assuming this variable takes integer values, rather than being continuous (based on the example), the simplest method is a histogram-type approach: the probability of some value is the fraction of times it occurs in the training data. Consider a final bin for all values above some number (maybe 20 or so based on your example). If you have problems with zero counts, add one to all of them (can be seen as a Dirichlet prior if you're that way inclined).
As for a parametric form, if you prefer one, the Poisson distribution is a possibility. A qq plot, or even a goodness of fit test, will suggest how appropriate this is in your case, but I suspect you're going to be better with the histogram based method.
I have a spreadsheet that contains data that ranges from 0.0 to 1.0, e.g.
a, 0.1
b, 0.11
c, 0.7
d, 0.12
...
I'd like a histogram where each bar covers a range of values, e.g. there would be a bar with a height of 3 for the range [0.1, 0.2). How do I do this in Open Office Calc? If it is hard to do, is there a commonly available tool that makes it easy? I'd prefer something that is available on both Linux and Windows.
So far, I've found two "solutions", both of which can do the job, but neither of which are ideal. However, they are both free and available for both Linux and Windows.
Ggobi provides a GUI that allows you to read in data from a CSV file and produce histograms. Unfortunately, the interface isn't that great, and it is hard to figure out how to manipulate the display. For example, by default, the histogram is "on its side", and thus far, I haven't figured out how to make the bars vertical rather than horizontal.
R provides a programming environment for statistics with some handy graphics packages. For example, you can create a histogram and put it into a PDF file with just a few lines of code:
result <- read.csv("myTable.csv")
str(result) # look at the structure of the resulting data frame
attach(result) # make the components of result available as objects
pdf("myTable.pdf")
hist(X.TCC)
plot(X.TCC, MWE, pch="*")
dev.off()
The drawback is that you need to learn something about the R environment.
I've been having a bit of a problem with making the Y axis my up axis when exporting mesh and scenes from Blender. Both Blender and my export target use right handed transformation matrices. Z is the up axis in Blender while Y is the up axis in my target. The problem exists in 2 places though. The scene's transformations can't just be shifted on the X axis to fix this, because I also need to do the Y/Z switch for the vertices in the mesh (export as vertex.x, vertex.z, vertex.y). I need to have the actual Y and Z rotations switched, so that if the Y and Z rotations are the same, no change will occur (ie. identity). Thanks for your help in advance. Feel free to ask questions if I was not thorough enough.
Blender does two things different than the rest of the known world!
1. It uses Z axis for vertical (should be Y); Y axis for horizontal (should b X); and X axis for in and out (should b Z).
Very weird! Every high school graph since the beginning of time uses X for horizontal and Y for vertical.
It uses the right mouse button for selections.
U can change the selection btn in Preferences, but not the crazy axis arrangement!
no,
you do this
y=z
z=-y
no rotation of 90 degrees can make you go from left to right hand.
I ran into a similar issue when working with cinema4d and blender. In cinema4d Y is the up axis and rotations are heading,pitch and bank.
Blender's system looks like a right handed system, but rotated by 90 degrees on x axis.
I did the same thing for coordinates(exported as vertex.x,vertex.z,vertex.y). For rotations,
I think you should add 90 degrees(math.pi * 0.5) for rotations on X axis and the rest should be fine.
HTH
Have you tried just using Select All (the 'a' key) and then r x 90 to rotate everything 90 degrees around the X axis and the pivot point? (your pivot point is choosable in the menu bar of the 3D view if you need to control that).
You could do that, export, and then undo.
Just Download Wings3D. Export from Blender as .3ds and then Import this file in Wings3D.
Now you can just export it from Wings3D, again to .3ds. But instead of clicking directly on .3ds, click on the small icon in the right of the ".3ds" menu. now you can unchecked the Box Swap y und z axis and import the .3ds in another program.
There is no way that would be possible. Coordinate system was innately selected as hard coded from the blender source and there are no explicit option has been made in blender to switch it. It would also affected many of the hard coded functionality of any function blender was used or has been made by assume that coordinate
However, in theory, it would be possible to access blender source code and rebuild the blender to have it use another coordinate we would like. Albeit we need to carefully swap everything related to coordinate system
I too wish that left handed coordinate system (as of Unity3D) would be industrial standard and blender should at least have another version that work in left handed coordinate. People should just graduated from table coordinate to screen coordinate already
In blender, you could add empty plain axes, that will correct your orientation when exporting to unity, or try exporting as fbx file and change orientation in export options