擅长:python、mysql、java
<p>与其逐个添加到dfmaster,不如使用矢量化方法创建它:</p>
<pre><code>import pandas as pd
data = [[6.2, 10, 8], [6.4, 15, 13], [6.6, 14, 6]]
df1 = pd.DataFrame(data, columns = ['Prozess233', 'Prozess234', 'Prozess235'])
dfmaster=pd.concat([df1.mean(), df1.std(), df1.max()], axis=1).reset_index()
dfmaster.columns = ['Process','Mean', 'St.Dev', 'Max']
#dfmaster
Process Mean St.Dev Max
0 Prozess233 6.4 0.200000 6.6
1 Prozess234 13.0 2.645751 15.0
2 Prozess235 9.0 3.605551 13.0
</code></pre>
<P>此外,根据您的需要考虑检查{{CD1}}的输出:</P>
<pre><code> Prozess233 Prozess234 Prozess235
count 3.0 3.000000 3.000000
mean 6.4 13.000000 9.000000
std 0.2 2.645751 3.605551
min 6.2 10.000000 6.000000
25% 6.3 12.000000 7.000000
50% 6.4 14.000000 8.000000
75% 6.5 14.500000 10.500000
max 6.6 15.000000 13.000000
</code></pre>