Descriptive

Pokemon Data Exploration

import numpy as np import pandas as pd import matplotlib.pyplot as plt !pip install seaborn import seaborn as sns data = pd.read_csv('D:/Python/DATA/pokemon.csv')

print(data) data.info()

#Correlation plot f,ax = plt.subplots(figsize=(18, 18)) sns.heatmap(data.corr(), annot=True, linewidths=.5, fmt= '.1f',ax=ax)

data.head(10) data.columns

Descriptive Plots

Line Plot

color = color, label = label, linewidth = width of line, alpha = opacity, grid = grid, linestyle = sytle of line

data.Speed.plot(kind = 'line', color = 'g',label = 'Attack',linewidth=1,alpha = 0.5,grid = True,linestyle = ':') data.Defense.plot(color = 'r',label = 'Defense',linewidth=1, alpha = 0.5,grid = True,linestyle = '-.') plt.legend(loc='upper right') # legend = puts label into plot plt.xlabel('x axis') # label = name of label plt.ylabel('y axis') plt.title('Line Plot') # title = title of plot

Scatter Plot

x = attack, y = defense

data.plot(kind='scatter', x='Attack', y='Defense',alpha = 0.5,color = 'red') plt.xlabel('Attack') # label = name of label plt.ylabel('Defence') plt.title('Attack Defense Scatter Plot') # title = title of plot

data.Speed.plot(kind = 'hist',bins = 50,figsize = (15,15))