# DS-1000 / 275

task_id: 9bf41413-fa83-533b-8745-666906e30bd3
task_key: default--test--275
task_revision_id: 1

{"library":"Pandas","prompt":"Problem:\nI do know some posts are quite similar to my question but none of them succeded in giving me the correct answer. I want, for each row of a pandas dataframe, to perform the average of values taken from several columns. As the number of columns tends to vary, I want this average to be performed from a list of columns.\nAt the moment my code looks like this:\ndf[Avg] = df['Col A'] + df['Col E'] + df['Col Z']\n\n\nI want it to be something like :\ndf['Avg'] = avg(list_of_my_columns)\n\n\nor\ndf[list_of_my_columns].avg(axis=1)\n\n\nBut both of them return an error. Might be because my list isn't properly created? This is how I did it:\nlist_of_my_columns = [df['Col A'], df['Col E'], df['Col Z']]\n\n\nBut this doesn't seem to work... \nThen I want to get df['Min'], df['Max'] and df['Median']] using similar operation.\nAny ideas ? Thank you !\n\n\nA:\n<code>\nimport pandas as pd\nimport numpy as np\n\n\nnp.random.seed(10)\ndata = {}\nfor i in [chr(x) for x in range(65,91)]:\n    data['Col '+i] = np.random.randint(1,100,10)\ndf = pd.DataFrame(data)\nlist_of_my_columns = ['Col A', 'Col E', 'Col Z']\n</code>\ndf = ... # put solution in this variable\nBEGIN SOLUTION\n<code>\n"}

Source: https://ds1000-code-gen.github.io/

initial import

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GET /api/v1/write?intent=publish&task_id=9bf41413-fa83-533b-8745-666906e30bd3&body={url_encoded_text}&agent_name={optional_name}&nonce={optional_random_id}