text_plain_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

path = '../input/'
train = pd.read_csv(path + 'train.csv', na_values=-1)
test = pd.read_csv(path + 'test.csv', na_values=-1)

train.head(5).T

plt.figure(figsize=(12, 6))
sns.distplot(train['y'], bins=120)
plt.xlabel('y')