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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 ApJdataFrames 003
Step1:  Table 3- New Members of Taurus
Step2:  Save the data tables locally.
!mkdir ../data/Luhman2004c
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Python Code:
import warnings
warnings.filterwarnings("ignore")
Explanation: ApJdataFrames 003: Luhman2004c
Title: New Brown Dwarfs and an Updated Initial Mass Function in Taurus
Authors: Luhman K.L.
Data is from this paper:
http://iopscience.iop.org/0004-637X/617/2/1216/
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import pandas as pd
names = ["Name_2MASS", "RA", "Dec", "Spectral Type", "Membership",
         "Teff", "AJ", "Lbol", "I", "I-zp","J-H","H-Ks", "Ks", "inIMF", "Night"]
tbl3 = pd.read_csv("http://iopscience.iop.org/0004-637X/617/2/1216/fulltext/60509.tb3.txt", sep='\t', names=names)
tbl3
Explanation: Table 3- New Members of Taurus
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tbl3.to_csv("../data/Luhman2004c/tbl3.csv", sep="\t")
Explanation: Save the data tables locally.
!mkdir ../data/Luhman2004c
End of explanation
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