Charlie Cai - 7 months ago 31

Python Question

as I have mentioned in title, I fail to make it happened in my code. Here is my code, I try to use the two methods, but eventually it still cannot work.

`# using python 2.7.12`

import pandas as pd

dates = pd.date_range('20141001', periods = 7)

import numpy as np

dates1 = pd.DataFrame(np.random.randn(7,3), index =dates, columns = list('ABC'))

print dates1

dates2 = pd.DataFrame(np.random.randint(0,100), index =dates, columns = list('ABC'))

Answer

To create a matrix of random integers, you would write

```
import numpy as np
x = np.random.randint(low=0,high=100,size=(7,3) )
print x
```

`low`

is the minimum integer that can be drawn, and `high`

is the maximum integer plus one that can be drawn (i.e. `high=100`

means the maximum integer that can be drawn is 99). `size`

determines the shape of the numpy array that will be returned. The output of the above code (given the random seed used on my machine) is:

```
array([[15, 97, 2],
[88, 3, 6],
[64, 97, 13],
[18, 44, 75],
[ 4, 59, 10],
[97, 83, 73],
[97, 21, 28]])
```

You can then cast this into a pandas `DataFrame`

as you were before:

```
import numpy as np
import pandas as pd
dates2 = pd.DataFrame(np.random.randint(low=0,high=100,size=(7,3)),\
index =dates, columns = list('ABC'))
```

Source (Stackoverflow)