Reputation: 107
I would like to create a string of one million keys with 200 different values:
N = 1000000
uniques_keys = [pd.core.common.rands(3) for i in range(200)]
keys = [random.choice(uniques_keys) for i in range(N)]
However, I get the following error
In [250]:import pandas as pd
In [251]:pd.core.common.rands(3)
Traceback (most recent call last):
File "<ipython-input-251-31d12e0a07e7>", line 1, in <module>
pd.core.common.rands(3)
AttributeError: module 'pandas.core.common' has no attribute 'rands'
I use pandas version 0.18.0.
Upvotes: 9
Views: 9801
Reputation: 210812
You can use:
In [14]: pd.util.testing.rands_array?
Signature: pd.util.testing.rands_array(nchars, size, dtype='O')
Docstring: Generate an array of byte strings.
Demo:
In [15]: N = 1000000
In [16]: s_arr = pd.util.testing.rands_array(10, N)
In [17]: s_arr
Out[17]: array(['L6d2GwhHdT', '5oki5T8VYm', 'XKUblAUFyL', ..., 'BE5AdCa62a', 'X3zDFKj6iy', 'iwASB9xZV3'], dtype=object)
In [18]: len(s_arr)
Out[18]: 1000000
UPDATE: from 2020-04-21
In newer Pandas versions you might see the following deprecation warning:
FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
in this case import this function as follows:
from pandas._testing import rands_array
Upvotes: 15
Reputation: 16241
There are several solutions:
First solution:
The function rands
appears to be in pandas.util.testing
now:
pd.util.testing.rands(3)
Second solution:
Go straight for the underlying numpy
implementation (as found in the pandas source code):
import string
RANDS_CHARS = np.array(list(string.ascii_letters + string.digits),
dtype=(np.str_, 1))
nchars = 3
''.join(np.random.choice(RANDS_CHARS, nchars))
Third solution:
Call numpy.random.bytes
(check that it fulfils your requirements).
Fourth solution:
See this question for other suggestions.
Upvotes: 4