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pierrelouisbescond/pca_create_dataset.py

Created May 31, 2020 12:41
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pca_create_dataset.py
import numpy as np
import pandas as pd
import math
import plotly.graph_objects as go
size = 500
# For every dimension, we create a normal distribution by setting the mean, standard deviation and size
df = pd.DataFrame(np.random.normal(0, 5, size), columns=["x"])
df["y"] = np.random.normal(0, 10, size)+df["x"]
df["z"] = np.random.normal(0, 10, size)+df["x"]*2
df
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