image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns  # visualization tool

data = pd.read_csv('../input/pokemon.csv')

data.shape

data.columns

data.dtypes

data.sort_values(by='Attack', ascending=False).head()

#correlation map
f,ax = plt.subplots(figsize=(20, 20))
sns.heatmap(data.corr(), annot=True, linewidths=1, fmt= '.1f',ax=ax)
plt.show()

data = pd.read_csv('../input/pokemon.csv')

data[(data['Speed'] > 145) & (data['Attack'] > 100)]