Following a machine learning guide here: https://www.pluralsight.com/guides/scikit-machine-learning/
Running Python 3.8, might have a hunch that I need to run it in IPython but I think that opens up a new can of worms.
Also have all imported these libraries installed.
I left %matplotlib inline
as a comment because i’m not running it in Jupyter.
import numpy as np import matplotlib.pyplot as plt import seaborn as sns #%matplotlib inline from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.metrics import confusion_matrix, classification_report df = pd.read_csv("diabetes.csv") print(pd.shape) df.describe() y = df[diabetes.csv].values x = df.drop('diabetes', axis=1).values X_train. X_test, y_train, y_test = train_test_split(X, y, test_size = 0.4, random_state=42) X_train.shape, X_test.shape ((460,8), (308,8)) logreg = LogisticRegression() logreg.fit(X_train, y_train) y_pred = logreg.predict(X_test) print(confusion_matrix(y_test, y_pred)) print(classification_report(y_test, y_pred)) plt.show()
The error I get when running this code is:
Traceback (most recent call last): File “scikitmlprac.py”, line 12, in print(pd.shape) File “C:Python38libsite-packagespandas_init_.py”, line 258, in getattr raise AttributeError(f”module ‘pandas’ has no attribute ‘{name}'”) AttributeError: module ‘pandas’ has no attribute ‘shape’
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Answer
Seems like you just have a typo here.
You’ve tried to print pd.shape
when it should be df.shape
. Hence the error.