Using matplotlib.pyplot, I plotted multiple wave functions w.r.t time series, showing the waves in multiple vertical axes, and output the graph in jpg using savefig. I want to know the easiest way in which I can output all wave functions into a single output data file maybe in CSV or DAT in rows and columns.
How you plot the wave functions? Do you compute all the points?
If so, you can just write those points to csv.
You may refer to https://docs.python.org/2/library/csv.html
If you plotted the data using numpy array, you can use numpy.savetxt.
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I have a matrix in .csv format with the first row being temperatures and the first column wavelengths. The z-values in the matrix are intensities. I am trying to import the matrix into python and plotting the 3D surface. I tried doing it in excel but there is a limit to the y-values it can plot. Can someone please assist me with this. I tried multiple sources but my difficulty lies in importing the matrix as it is into python, especially the z-values. Matrix.csv
I have an excel file with the xy coordinates and I want to import them and create an equation using python. I know how to import coordinates and turn them into graph but how do I create an equation out of it. picture below show the coordinates. capacity is x and power is y. let me know if I should provide more detail.
coordinates
You should split your question into separate pieces:
To read a piece of the excel file, you will do well with the pandas Python package, specially with the read_excel() function.
To plot the data (turn what you call "equation", which is just a list of pairs of values, into a graph) you can resort to pandas's plot.line.
In general, try to decompose your question into smaller ones, which have probably been answered before!
I have a fortran program that simulates some kind of radiation in the air and the signal obtained in each of the antennas at the ground. I am reading the output data with Python3, and one of the output .dat files holds information about the antennas, and it is organized in columns (Position along X-axis, Position along Y-axis, Signal detected, etc).
Supose that I have ~ 1000000 antennas and I have already storaged the position and signal of every one of them in the lists column_x ,column_y,signal and my objective is to reproduce a plot like the following:
How can I do that?
I tried to make a matrix with shape (len(column_x),len(column_y)), insert the values of the list signal in each place of the antenna and plot that matrix with plt.pcolor but I had a lot of issues. There must be an easiest way.
What you intend to do is exactly what matplotlib.pyplot.scatter can do:
import matplotlib.pyplot as plt
plt.scatter(column_x, column_y, c=signal)
I have a data set that has a somewhat strange layout of the data itself. it looks like this:
It's actually in csv format but I showed it above in excel for convenience.
so the x-axis values are located in the first column. The y-axis values are in the first row. Each blue cell is a data point, with the value in the cell representing an intensity. So the for the top left cell, the coordinates would be [0.000146,0,0]. The one below would be [0.000478,0,114]. I'm trying to figure out how to actually get this data plotted like a 2-D heatmap where the intensity is represented by the color, but haven't been able to do so so far. Any suggestions for how to go about doing this? I've looked at some matplotlib and pandas tutorials but they don't seem to address data formatted this way.
I have a huge data set of time series data. In order to visualise the clustering in python, I want to plot time series graphs along with the dendrogram as shown below.
I tried to do it by using subgrid2plot() function in python by creating two subplots side by side. I filled first one with series graphs and second one with dendrograms. But once number of time series increased, it became blur.
Can someone suggest a nice way to plot this type of dendrogram? I have around 50,000 time series to cluster and visualise.
Convert data into JSON with json module of python and then use D3.js for graph ploting.
Check the Gallery from here where you can find dendrogram and time series graph