I have a question…
I’ve programmed these:
# Dependencies
import pandas as pd
from numpy import where
from matplotlib import pyplot
# Load Data
names = [“Frequency”,”Comments Count”,”Likes Count”,”Text nwords”]
dataset = pd.read_csv(“Posts.csv”, encoding=”utf-8″, sep=”;”, delimiter=None,
names=names, delim_whitespace=False,
header=0, engine=”python”)
X = dataset.values[:,0:2]
y = dataset.values[:,3]
# Explore Data
print(dataset.shape)
print(dataset.head(10))
print(dataset.describe())
print(dataset.dtypes)
X,y = dataset(n_samples=100, n_features=4, n_informative=4, n_redundant=0, n_clusters_per_class=1, random_state=4)
# create scatter plot for samples from each class
for class_value in range(3):
# get row indexes for samples with this class
row_ix = where(y == class_value)
# create scatter of these samples
pyplot.scatter(X[row_ix, 0], X[row_ix, 3])
# show the plot
pyplot.show()
I’m getting this error :
Traceback (most recent call last):
File “C:/Users/USER/pythonProject/main.py”, line 44, in
X,y = dataset(n_samples=100, n_features=4, n_informative=4, n_redundant=0, n_clusters_per_class=1, random_state=4)
TypeError: ‘DataFrame’ object is not callable
Any ideas? What can I do?
I think the problem is about the "load data". How can I insert my own dataset?
Thank you in advance!!
Sofia