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Created 3 years ago
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
pd.set_option('display.max_columns',None)df = pd.read_csv('https://raw.githubusercontent.com/ingledarshan/Data-Science-Advanced-Datasets/main/pokemon.csv')df.head()df.shape(801, 41)df.dtypesabilities object
against_bug float64
against_dark float64
against_dragon float64
against_electric float64
against_fairy float64
against_fight float64
against_fire float64
against_flying float64
against_ghost float64
against_grass float64
against_ground float64
against_ice float64
against_normal float64
against_poison float64
against_psychic float64
against_rock float64
against_steel float64
against_water float64
attack int64
base_egg_steps int64
base_happiness int64
base_total int64
capture_rate object
classfication object
defense int64
experience_growth int64
height_m float64
hp int64
japanese_name object
name object
percentage_male float64
pokedex_number int64
sp_attack int64
sp_defense int64
speed int64
type1 object
type2 object
weight_kg float64
generation int64
is_legendary int64
dtype: object