擅长:python、mysql、java
<pre><code>import pandas as pd
d = {'one' : [1., 2., 3., 4.],
'two' : [2., 3., 4., 5.]}
df52 = pd.DataFrame(d)
top_1_should = df52.apply(lambda row: row.sort_values()[0], 1)
top_2_should = df52.apply(lambda row: row.sort_values()[1], 1)
df52['top_1_is'] = df52.apply(lambda row: row.sort_values()[0], 1)
df52['top_1_should'] = top_1_should
df52['top_2_is'] = df52.apply(lambda row: row.sort_values()[3], 1)
df52['top_2_should'] = top_2_should
print(df52)
</code></pre>
<p>退货:</p>
^{pr2}$