Here's a dataframe from another question:
+--------------------+---------------+-------+
| Location | Date | Value |
+--------------------+---------------+-------+
| India | 2015-03-15 | -200|
| India | 2015-02-15 | 140 |
| India | 2015-01-15 | 155 |
| India | 2015-12-15 | 85 |
| India | 2015-11-15 | 45 |
| China | 2015-03-15 | 199 |
| China | 2015-02-15 | 164 |
| China | 2015-01-15 | 209 |
| China | 2015-12-15 | 24 |
| China | 2015-11-15 | 11 |
| Russia | 2015-03-15 | 48 |
| Russia | 2015-02-15 | 104 |
| Russia | 2015-01-15 | 106 |
| Russia | 2015-12-15 | -20 |
| Russia | 2015-11-15 | 10 |
+--------------------+---------------+-------+
And, for the sake of convenience, here's the version that you can copy without any problems:
Location Date Value
0 India 2015-03-15 -200
1 India 2015-02-15 140
2 India 2015-01-15 155
3 India 2015-12-15 85
4 India 2015-11-15 45
5 China 2015-03-15 199
6 China 2015-02-15 164
7 China 2015-01-15 209
8 China 2015-12-15 24
9 China 2015-11-15 11
10 Russia 2015-03-15 48
11 Russia 2015-02-15 104
12 Russia 2015-01-15 106
13 Russia 2015-12-15 -20
14 Russia 2015-11-15 10
How would you read it in using df.read_clipboard without having to manually remove all those delimiters and row separators?
This would've been easy using sep or delimiter if it were not for the ---+----.
