Is there a way to select random rows from a DataFrame in Pandas.
In R, using the car package, there is a useful function some(x, n)
which is similar to head but selects, in this example, 10 rows at random from x.
I have also looked at the slicing documentation and there seems to be nothing equivalent.
Now using version 20. There is a sample method.
df.sample(n)
With pandas version 0.16.1
and up, there is now a DataFrame.sample
method built-in:
import pandas
df = pandas.DataFrame(pandas.np.random.random(100))
# Randomly sample 70% of your dataframe
df_percent = df.sample(frac=0.7)
# Randomly sample 7 elements from your dataframe
df_elements = df.sample(n=7)
For either approach above, you can get the rest of the rows by doing:
df_rest = df.loc[~df.index.isin(df_percent.index)]