Sometimes, we want to dynamically evaluate an expression from a formula in Python Pandas.
In this article, we’ll look at how to dynamically evaluate an expression from a formula in Python Pandas.
How to dynamically evaluate an expression from a formula in Python Pandas?
To dynamically evaluate an expression from a formula in Python Pandas, we can use eval.
For instance, we write
np.random.seed(0)
df1 = pd.DataFrame(np.random.choice(10, (5, 4)), columns=list('ABCD'))
df2 = pd.DataFrame(np.random.choice(10, (5, 4)), columns=list('ABCD'))
df3 = pd.DataFrame(np.random.choice(10, (5, 4)), columns=list('ABCD'))
df4 = pd.DataFrame(np.random.choice(10, (5, 4)), columns=list('ABCD'))
x = 5
pd.eval("df1.A + (df1.B * x)")
to create a few datadrames with DataFrame.
Then we call eval with an expression string that gets the values from the dataframes and multiply df1.B by x.
Conclusion
To dynamically evaluate an expression from a formula in Python Pandas, we can use eval.
