numpy.array: TypeError: 'DataFrame' object is not callable

Question

My program throws an error:

TypeError: 'DataFrame' object is not callable

I am using numpy and pandas with python 3.6. The error is encountered at line 15 identified with "**" below.

import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
from sklearn.utils import shuffle

data = pd.read_csv("student-mat.csv", sep=";")

print("Starting data manipulation...")
data = data[["G1", "G2", "G3", "studytime", "failures", "absences"]]

predict = "G3"

x = np.array(data.drop([predict], 1))
y = np.array(data([predict]))


x_train, x_test, y_train, y_test = sklearn.model_selection.train_test_split(x, y, test_size=0.1)

linear = linear_model.LinearRegression()
linear.fit(x_train, y_train)
acc = linear.score(x_test, y_test)

print("Accuracy: " + str(acc))

print("Coefficient: " + str(linear.coef_))
print("Intercept: " + str(linear.intercept_))

Sociopath · Accepted Answer · 2020-01-21 04:59:21Z

1

Change your line

y = np.array(data([predict]))

to

y = np.array(data[predict])

When you use () after any variable, python expects it to be a function and that's what error message is about

Use only [] to access column from any dataframe i.e. data["predict"]

answered Jan 21, 2020 at 4:59

Sociopath

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