text_plain_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()

dictionary = {'1': 'Istanbul', '2': 'Izmır', '3': 'Ankara', '4': 'London', '5': 'Boston'}

dictionary.clear()

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

lis = [1, 2, 3, 4, 5]
for i in lis:
    print('i is :', i)
print('')
for index, value in enumerate(lis):
    print(index, ':', value)
dictionary = {'Turkey': 'Ankara', 'England': 'Londra'}
for key, value in dictionary.items():
    print(key, ':', value)
    print('')
for index, value in data[['Speed']][0:1].iterrows():
    print(index, ':', value)