Python Panda Error TypeError: unsupported operand type(s) for /: 'str' and 'int'
<p>I am trying to learn how to use Pandas in Python. I am having issue doing math to my Panda dataframe.
Right now my dataframe looks something like this:</p>

<p>print (mark)</p>

<pre><code>                0      1      2       3       4           5             6
0       447366345  -2.04  -2.69  176.98  418.84  34.3167521  -118.4068498
1       447406197  -2.34  -2.18  176.88  418.77  34.3167522  -118.4068499
2       447446155  -2.63  -1.56  176.74  418.77  34.3167522  -118.4068499
3       447486653  -2.89  -0.95  176.58  418.84  34.3167522  -118.4068499
4       447526241  -3.12  -0.42  176.43  418.84  34.3167522  -118.4068499
5       447566373  -3.34  -0.07  176.32  418.84  34.3167522  -118.4068497
6       447606036  -3.56   0.05  176.26  418.66  34.3167523  -118.4068497
7       447645783  -3.77  -0.03  176.28  418.66  34.3167523  -118.4068497
8       447686269  -3.95  -0.31  176.43  418.95  34.3167523  -118.4068497

def data_reader(filename, rowname):
    with open(filename, newline='') as fp:
        yield from (row[1:] for row in csv.reader(fp, skipinitialspace=True)
            if row[0] == rowname)

mike = pd.DataFrame.from_records(data_reader('data.csv', 'mike'))
</code></pre>

<p>Now let say I want to take row 0 and divide it by 1000</p>

<pre><code>mark_time = mark[0] / 1000
</code></pre>

<p>This produces the error </p>

<pre><code> TypeError: unsupported operand type(s) for /: 'str' and 'int'
</code></pre>

<p>I am guessing because current my dataframe is not considered an INT, so I went ahead and did this:</p>

<pre><code>mark_time = float (mark[0] / 1000)
</code></pre>

<p>However, this also gave me the same error. Could someone please explain to me why?</p>

<p>My 2nd question is when it comes to plotting. I have learned matplotlib very well and I wanted to use it on my Panda dataframe. Currently the way I do it is this:</p>

<pre><code>fig1 = plt.figure(figsize= (10,10))
ax = fig1.add_subplot(311)
ax.plot(mike_time, mike[0], label='mike speed', color = 'red')
plt.legend(loc='best',prop={'size':10})
</code></pre>

<p>Could I just replace mike_time, and mike[0] with my dataframe?</p>