Pandas: how to split one row of data to multiple rows and columns in Python

[perfringo]

I am not fully understand the problem. However, reshaping data in one row can be done as follows (data.csv is file containing numbers 0...99 in one row separated by commas):

import pandas as pd

arr = pd.read_csv('data.csv', header=None).values.reshape(10, 10)

arr will be:

Output:
[[ 0  1  2  3  4  5  6  7  8  9]
 [10 11 12 13 14 15 16 17 18 19]
 [20 21 22 23 24 25 26 27 28 29]
 [30 31 32 33 34 35 36 37 38 39]
 [40 41 42 43 44 45 46 47 48 49]
 [50 51 52 53 54 55 56 57 58 59]
 [60 61 62 63 64 65 66 67 68 69]
 [70 71 72 73 74 75 76 77 78 79]
 [80 81 82 83 84 85 86 87 88 89]
 [90 91 92 93 94 95 96 97 98 99]]