pandas.DataFrame.iloc: selecting rows

Code Help Python
1 
import numpy as np
import pandas as pd

newdf = pd.DataFrame(np.random.rand(7, 5), index=np.arange(7))

newdf.columns = list("ABCDE")
print("\n\nnewdf is\n")
print(newdf)

newdf = newdf.drop("B", axis=1)
print(newdf)

print("\n\n\nbut now it is:\n\n")
print(newdf.loc[[1, 2], ["C", "D"]])
print("Now we will print values which are less than 0.5\n\n")
print(newdf.iloc[(newdf[0] < 0.5)])

I want to print some particular values using index numbers, but it shows some error with newdf.iloc that ChatGPT can’t solve, why?

2

See how to use iloc with a filter: pandas.DataFrame.iloc — pandas 2.0.1 documentation

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