calculate specified column or row mean - Printable Version +- Python Forum (https://python-forum.io) +-- Forum: Python Coding (https://python-forum.io/forum-7.html) +--- Forum: Data Science (https://python-forum.io/forum-44.html) +--- Thread: calculate specified column or row mean (/thread-3402.html) |
calculate specified column or row mean - SriRajesh - May-20-2017 Hi, I have the data pandas.DataFrame as below: I want to compute column 3 mean and row 4 mean. test: AAB BT 2 5 5.1 0 YUT HYT 89.0 52.0 3.0 4 YHT JU 25.0 63.0 2.0 0 YUT HYT 89.0 52.0 3.0 4 YHT JU 25.0 63.0 2.0 0 YUT HYT 89.0 52.0 3.0 4 YHT JU 25.0 63.0 2.0 I use the below command, but it give error: DataFrame.mean(test[:,2]) RE: calculate specified column or row mean - sparkz_alot - May-20-2017 In order to get an answer relevant to your problem, post the actual section of code you think is the problem as well as the entire error code. Otherwise you'll get answers like: total all the elements in column 3 and divide the total by the number of elements in column 3, do the same for column 4. RE: calculate specified column or row mean - SriRajesh - May-20-2017 My code below: i mport glob import pandas as pd path =r'D:\Mekala_Backupdata\PythonCodes\InputFiles' # use your path allFiles = glob.glob(path + "/*.csv") frame = pd.DataFrame() list_ = [] for file_ in allFiles: df = pd.read_csv(file_,index_col=None, header=0) # df = pd.read_csv(file_,index_col=None) list_.append(df) frame = pd.concat(list_) test=frame.dropna()my data is stored in test. My output show below: but I want to calculate 3rd row mean and 4th row mean.I tried as below: but it give error. test.mean([0,3])
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