Create a single time series plot of multiple devices I have a dataset where there are stored the measurements of 30 devices. Each device has about 4000 values and it is structured as well:
device01 0.02;0.13;1.15;0.10;8.30;........;4.20
device02 0.06;0.13;1.40;0.03;7.40;........;6.30
........
device30 0.03;0.24;1.10;0.43;4.40;........;2.30

Each value is got each X seconds (I don't have the timestamp reference, I only know they are got through time). How can I plot them to get a single time series plot like the one in this picture?

As you can see lots of the values do overlap, how can I make them consecutive in the plot?
You can create overlapping plots by looping over your dataset and plotting onto the same axes:
ax, fig = plt.subplots()
n = 30 # number of device
for i in (number+1 for number in range(n)):
    ax.plot(data[i], label='device_0' + i)

plt.show()

It might be best to first put your data into a pandas Dataframe.
In regard to the X-axis, you will need to convert the seconds to datetime, by adding an estimate of the starting date to each value in the dataset.