Multiple Plots in Matplotlib Data Visualization with Python | Creating Multiple Subplots Matplotlib

By default, Matplotlib creates only one plot in the figure but if you want to plot multiple plots in Matplotlib you can do.

In this Matplotlib Tutorial, I have explained how to plot multiple sub-plots using Matplotlib. I have shown step-by-step implementation of multiple subplots in a Matplotlib figure with examples. In addition, I have explained the following topics with examples:
1. Matplotlib multiple plots one title
2. Matplotlib multiple plots one legend
3. Matplotlib multiple plots one colorbar
4. Matplotlib multiple polar plots
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[bennguyen]

I'd like to plot several lines on the same figure (no subplot).. however, I don't know ahead of time how many lines there will be.

For example, if you open a csv file, and depending on the column's title, say it has an '*', then it will be plotted.. with its color and legend location being determined during execution.

Perhaps something like
# for each column loop:
# axIdx = ax1.twinx()
# axIdx.plot(time,
# axIdx.legend(loc='upper right', ncol=2, borderaxespad=0)
# axIdx++

Where axIdx would have to be a variable that is being generated as it processes the file? Similarly, the color label and position where to put that data's legend (XXXX/YYYY) would need to be variables based on the column being processed, and the number of items already plotted?

Perhaps there's an easier way to do such a task? Maybe using panda to convert the csv to a dictionary first?