The first step in our data visualization was to get familiar with the data, a file called "muchosdatos.dat", and read it. The particular data structure was a comma-separated values with 8 columns and 999841 rows, which were read with pandas.
The data come from an astroparticle simulation. The number in the first column represent a specific particle:
1 = photon
2 = positron
3 = electron
5 = muon +
6 = muon –
The next columns carry the following information:
Column 2: Linear momentum on x in GeV/c
Column 3 : Linear momentum on y in GeV/c
Column 4 : Linear momentum on in GeV/c
Column 5 : Distance on x axis (Rx)
Column 6 : Distance on y axis (Ry)
Column 7 : Fligh time in nanoseconds
Column 8 : Total energy in GeV
For the second step, we add a column based on the dataframe first column. In the new column we associated each number of the firts column with its corresponding particle name.
For the thirhd step, we resize the data to prevent big numbers.
For the fourth step, we delimited the x-axis and y-axis length, because the extension of both axis does not allow to visualize data correctly.The new axis limits involve the 99.38% of all the data.
Finally we plotted the data with matplotlib and got the following result:
