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

import pandas as pd

import seaborn as sns

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
train_df = pd.read_csv('../input/santander-customer-satisfaction/train.csv')
test_df = pd.read_csv('../input/santander-customer-satisfaction/test.csv')

plt.figure(figsize=(10, 10))
sns.barplot(x=train_df.TARGET.unique(), y=train_df.TARGET.value_counts(), palette='Pastel1')