Printing Multiple Data in Groups Python Pandas
<p>I'm very tempted to do this in SQL, but want to try this in Pandas:</p>

<p>I'm calling multiple variables within one data set and would like to join them alongside one another. Example:</p>

<pre><code>print(len(data)) #Number of rows
print(len(data.columns))

print(len(data.index))

print("COUNTY COUNT")
c1 = data["County"].value_counts(sort=False)
print (c1)
</code></pre>

<p>.........and so on...</p>

<pre><code>print("STATE COUNT")
c2 = data["State"].value_counts(sort=False)
print (c2)
</code></pre>

<p>.........and so on...</p>

<p>I'd like to achieve the following, but am having trouble using </p>

<pre><code>c1.DataFrame(["County"], sort=False).sum()
</code></pre>

<p>.........
I've seen another chain using pd.dataframe...</p>

<p>Any suggestions/references as to how to efficiently and correctly organize these data as such?:</p>

<p>Thanks a million</p>