python資料處理（csv->折線圖）
阿新 • • 發佈：2018-12-31
highs_lows.py
# -*- coding: utf-8 -*-
"""
Created on Mon May 29 10:00:16 2017
@author: Administrator
"""
import csv
filename = '300001_D.csv'
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
print(header_row)
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
for highs_lows02.py
# -*- coding: utf-8 -*- highs_lows03.py
# -*- coding: utf-8 -*-
"""
Created on Mon May 29 11:08:22 2017
@author: Administrator
"""
import csv
from datetime import datetime
from matplotlib import pyplot as plt
filename = '300001_D.csv'
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
dates, highs, lows = [],[],[]
for row in reader:
try:
current_date = datetime.strptime(row[0], "%Y-%m-%d")
high=row[2]
low = row[4]
except ValueError:
print(current_date, 'missing data')
else:
dates.append(current_date)
highs.append(high)
lows.append(low)
print(dates, highs, lows)
# 根據資料繪製圖形
fig = plt.figure(dpi=128, figsize=(10, 6))
#處的實參alpha 指定顏色的透明度。 Alpha 值為0表示完全透明，
#1（ 預設設定） 表示完全不透明
plt.plot(dates, highs, c='red', alpha=0.5)
plt.plot(dates, lows, c='blue', alpha=0.5)
# 設定圖形的格式
plt.title("Daily high and low Stock, 2017-(01,05)", fontsize=24)
plt.xlabel('', fontsize=16)
fig.autofmt_xdate()
plt.ylabel("Number(F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)
plt.show()輸出圖片:
學習《python程式設計：從入門到實踐》