Is there any way in Databricks to plot more than 1000 rows with the built in visualization?
I tried using limit() function, but it still shows only the first 1000.
No, it's not possible right now. limit won't help because it limits the amount of data in the dataframe itself, but display function has its own parameters.
Related
I'm new to python and matplotlib. I need to plot a live graph from a CSV file which is being updated in real time. This is what I'm trying to do:
Just keep plotting as soon as a new value is updated into the file. It's procedural, as soon as I write the new data into the file, I read it again and plot. The number of readings may go higher than 1000. Maybe even 10000. (1000 or 10000 lines in CSV file, each line contains a unique x value and a corresponding y value). I'm plotting in a tkinter canvas. I need to plot the latest 50 values in the file, but also keep the previous values so that I can stop the graph, drag and see previous values. Plotting is fine, I understand how to get it done. But how much Ram/time and other resources does this process take. How does it affect the performance of the application and is there a better way to accomplish this? Note that after a while, I'll have an array with maybe 10000 values in it. Then I'll have to plot it.
I have a data set which is related to force applied vs distance traveled.
When the data was created the measurement software has provided multiple values for distance traveled as the force increases, then in some cases the data has no values for distance at the force values.
I have several data sets which look like this.
The data looks like this
I want to 'clean the data so I can create a graph with all 3 samples in columns the same height so it is easy to edit and make scatter graphs from.
I tried to clean the data by using VLOOKUP to create a column of force values at each 0.5N, but when I do this I end up with a large table that has lots of missing data points, when I make the graph from this there are lots of blank areas which don't seem to plot correctly.
The VLOOKUP data looks like this
The graph looks like this
Is there a better way to do this which will give me a better looking data set which is better for creating a graph from?
I have about 30 sets of data, so any info that you have would be greatly appreciated.
Why make the columns equal length.
If you plot the three samples with the data as given, an XY graph should look OK:
If there's some other reason to make the columns equal length, I'd "fill in the blanks" using the FORECAST or GROWTH functions, or use a trendline.
You can use IFERROR to insert something in place of the #N/As. For example, you could use =IFERROR(VLOOKUP(A1,D:D,1,FALSE),0) to add a zero in place of the #N/As
My data is include number of cars in each day and each minutes per day. I know how to plot the data only for one sepecific day in August for example. However, I do not know how to plot other month and bring all of them in only one graph.
Can anyone help me?
Here is a small sample of my data
Final Photo: it is what I have achieved, but do not know how to add legend for them and how to change the color or change the shape of graphs
Thanks in advance
You can use the .plot() method if you're using pyplot.
I am building a KPrototypes clutering model. I have the data clustered into 7 groups. Right now I would like to validate the result so I am looking into how each group behaves for each feature though groupby and visualization.
-- If you have other recommanded ways other than visualization, please do share with me as well.
Here is the problem. I have more than 20 features and when I try to plot the result, I get seven subplots that look like this.
user_general.groupby(by='classification').plot(figsize =(15,15))
etc.
As you can see in the legend, the color is repeated for every ten features. I looked into the dataframe.plot() document from pandas but I did not find any solution. Can anyone help me out?
The page linked to here has been a great help to me. The method of using the named function (=(ROW(INDIRECT("1:361"))-1)*PI()/180) to produce the circle data points is very slick compared to my original method that was to calculate them individually, writing them in to rows.
My data set includes some 50k rows of data, each one defining a circle. The set is divided into 50 groups and I need to plot one circle from each group as selected via a scroll bar controlling a LOOKUP routine.
Please can someone suggest how I might modify the function (=(ROW(INDIRECT("1:361"))-1)*PI()/180) to reduce the number of data points it produces? I want to reduce the computing load and also, it's not practical to display & format data markers with such high data density. My existing circles are produced with just 18 coordinate pairs and are satisfactorily rounded.
Thanks in advance. Steve.
This would give you 19 data points, 0 and 360 as the start/end points with another every 20%
=(ROW(INDIRECT("1:19"))-1)*PI()/9