擅长:python、mysql、java
<pre><code>import pandas as pd
# Dataframes
columns = ['Operations', 'PriceUnit', 'Cost', 'Billingdate']
data = [
['abc', 'USD', 45, '2019-12-01T00:00:00Z'],
['xyz', 'USD', 30, '2019-12-01T00:00:00Z']
]
df = pd.DataFrame(data, columns=columns)
data2 = [
['pqr', 'USD', 19, '2019-12-01T00:00:00Z'],
['lmn', 'USD', 27, '2019-12-01T00:00:00Z']
]
df2 = pd.DataFrame(data2, columns=columns)
# Merge dataframes
df3 = pd.concat([df, df2])
</code></pre>
<p>输出<code>df3</code>:</p>
<pre><code> Operations PriceUnit Cost Billingdate
0 abc USD 45 2019-12-01T00:00:00Z
1 xyz USD 30 2019-12-01T00:00:00Z
0 pqr USD 19 2019-12-01T00:00:00Z
1 lmn USD 27 2019-12-01T00:00:00Z
</code></pre>
<p>从形状打印行:</p>
<pre><code>df3.shape[0] # 0 cause the first term is rows and second columns
</code></pre>
<p>输出:4</p>