CODEWITHSUNDEEP
pythonpandasdataframemean
Misha
Misha

Reputation: 13

Mean of several rows in pandas dataframe

I have a rather big dataframe for my calculation method (SSA) - about 80000 rows. I'd like to average my data by several rows (20 for example). How can I do this?

I have a dataframe, for example:

 1. 00h         03h         06h         09h         12h
10  0.003546    0.000885    0.006852    0.00171     0.001708
11  0.00667     0.012603    0.012933    0.05603     0.025855
12  0.089116    0.054549    0.022177    0.090342    0.070226
13  0.28974     0.246415    0.297231    0.399953    0.287122

And in the end, I'd like something like this:

this

How can I do this?

Upvotes: 1

Views: 129

Answers (1)

jezrael
jezrael

Reputation: 863801

Use integer division by range created by length of DataFrame with numpy.arange and aggregate mean:

df = df.groupby(np.arange(len(df))//2).mean()
print (df)

        00h       03h       06h       09h       12h
0  0.005108  0.006744  0.009893  0.028870  0.013782
1  0.189428  0.150482  0.159704  0.245147  0.178674

Upvotes: 1

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