Graph

f = open('seoul.csv')

data = csv.reader(f)

next(data)

result = []

 

for row in data:

if row[-1] !='' :

result.append(float(row[-1]))

# print(result)

plt.hist(result, bins=100, color = 'r')

plt.show()

 

f = open('seoul.csv')

data = csv.reader(f)

next(data)

aug = []

 

for row in data:

month = row[0].split('-')[1] :

if row[-1] !='' :

if month == '08' :

aug.append(float(row[-1]))

# print(aug)

plt.hist(aug, bins = 100, color = 'r')

plt.show()

 

f = open('seoul.csv')

data = csv.reader(f)

next(data)

aug = []

jan = []

 

for row in data:

month = row[0].split('-')[1] :

if row[-1] !='' :

if month == '08' :

aug.append(float(row[-1]))

if month == '01' :

jan.append(float(row[-1]))

 

import matplotlib.pyplot as plt

plt.hist(aug, bins = 100, color = 'r', label = 'Aug')

plt.hist(jan, bins = 100, color = 'b', label = 'Jan')

plt.legend()

plt.show()

 

# 인구 구조

import csv

import matpltlib.pyplot as plt

f = open('age.csv')

data = csv.reader(f)

 

for row in data :

if '부산광역시 사상구 주례제2동(2653066000)' == row[0] :

print(row)

 

print('주례' in '부산광역시 사상구 주례제2동~'_)

print('2653' in '~')

 

for row in data :

if '주례제2동' in row[0] :

for i in row[3:] :

print(i)

 

result = []

 

for row in data :

if '주례제2동' in row[0] :

for i in row[3:] :

result.append(int(i))

print(result)

 

plt.style.use('ggplot')

plt.plot(result)

plt.show()

 

print(plt.style.available)