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  1. POPlotting data from csv using matplotlib.pyplot
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    <p>I am trying to follow a tutorial on youtube, now in the tutorial they plot some standard text files using matplotlib.pyplot, I can achieve this easy enough, however I am now trying to perform the same thing using some csvs I have of real data.</p> <p>The code I am using is import matplotlib.pyplot as plt import csv #import numpy as np</p> <pre><code>with open(r"Example RFI regression axis\Delta RFI.csv") as x, open(r"Example RFI regression axis\strikerate.csv") as y: readx = csv.reader(x) ready = csv.reader(y) plt.plot(readx,ready) plt.title ('Test graph') plt.xlabel('x axis') plt.ylabel('y axis') plt.show() </code></pre> <p>The traceback I receive is long</p> <pre><code>Traceback (most recent call last): File "C:\V4 code snippets\matplotlib_test.py", line 11, in &lt;module&gt; plt.plot(readx,ready) File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 2832, in plot ret = ax.plot(*args, **kwargs) File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 3997, in plot self.add_line(line) File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 1507, in add_line self._update_line_limits(line) File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 1516, in _update_line_limits path = line.get_path() File "C:\Python27\lib\site-packages\matplotlib\lines.py", line 677, in get_path self.recache() File "C:\Python27\lib\site-packages\matplotlib\lines.py", line 401, in recache x = np.asarray(xconv, np.float_) File "C:\Python27\lib\site-packages\numpy\core\numeric.py", line 320, in asarray return array(a, dtype, copy=False, order=order) TypeError: float() argument must be a string or a number </code></pre> <p>Please advise what I need to do, I realise this is probably very easy to most seasoned coders. Kind regards SMNALLY</p>
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