Graph X-Axis from CSV File with Python

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SUMMARY

The discussion focuses on plotting data from a CSV file using Python's Pylab library. The user initially encountered an issue where the independent variable was incorrectly plotted as the dependent variable. The solution involved explicitly passing the individual columns of the data array to the plot function, specifically using pylab.plot(data[0], data[1], 'ko'). This adjustment resolved the plotting issue, allowing for accurate representation of the independent and dependent variables.

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  • Basic concepts of independent and dependent variables in graphing
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chipotleaway
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How do if you have a .csv file with 3 columns (independent, dependent, uncertainty in dependent variable), how do you make a graph so that the independent variable is the x-axis and the dependent is the y axis?

All I've done is
Code:
pylab.plot(data,"ko")
pylab.show()

The graph I get seems to have plotted the independent variable as the dependent...as well as the other two columns
 
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hhhmmm...passing a single 2D array may be causing plot to plot all columns against the row index...try passing the individual columns explicitly, something like plot(data[0],data[1],'ko')
 
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Thanks, got it now. Looks like it's plotting everything correctly
 

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