title: Converting Pandas List Large Dimension to NP Array
body: <p>i have a large python list of size &quot;4&quot; but it is 4 large dataframes. I am trying to convert it to an np array of expected 3 dimension and I cannot figure out why I'm getting this error:</p>
  <pre><code> data2 = np.asarray(data)
  </code></pre>
  <p>The tail end of 'data' looks like this and you can see there are mixed datatypes:</p>
  <pre><code> 32133  20210831  2200                 882.2  342259.UNITED STATES.WYEAST.RADIATION.csv
   32134  20210831  2300                 918.9  342259.UNITED STATES.WYEAST.RADIATION.csv
   32135  20210901     0                   NaN  342259.UNITED STATES.WYEAST.RADIATION.csv
   32136  20210901   100                   NaN  342259.UNITED STATES.WYEAST.RADIATION.csv]
  </code></pre>
  <p>I'm getting this error and I'm not sure how to set the datatypes for integers, numeric and text found in my list &quot;data&quot;.</p>
  <pre><code>ValueError: cannot copy sequence with size 32137 to array axis with dimension 4
  </code></pre>
  <p>Thank you for your help,</p>