<jupyter_start><jupyter_text>___ ___<jupyter_code>import numpy as np
import pandas as pd
from numpy.random import randn
np.random.seed(101)
df = pd.DataFrame(randn(5,4), ["A", "B", "C", "D", "E"], ["W", "X", "Y", "Z"]) # there will be 5 rows & 4 columns as per randn
df<jupyter_output><empty_output>
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{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '166234', 'license': 'MIT', 'n_tokens_mistral': 126, 'n_tokens_neox': 120, 'n_words': 36, 'path': 'pandas/Pandas 04 - DataFrames pt3.ipynb', 'repo_name': 'ProsperousHeart/TrainingUsingJupyter', 'size': '299'}