python入门-python处理csv文件格式相关
处理 下载的csv格式文件
直接上代码和效果图
import csv from datetime import datetime from matplotlib import pyplot as plt #从文件中获取最高气温和日期和最低气温 filename="death_valley_2014.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 = int(row[1]) low = int(row[3]) except ValueError: print(current_date, 'missing data') else: dates.append(current_date) highs.append(high) lows.append(low) #根据数据绘制图形 fig = plt.figure(dpi=128, figsize=(10, 6)) plt.plot(dates, highs, c='red', alpha=0.5) plt.plot(dates, lows, c='blue', alpha=0.5) plt.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1) #设置图形的格式 plt.title("Daily high and low temperatures- 2014 Death Vally", fontsize=20) plt.xlabel("", fontsize=16) fig.autofmt_xdate() plt.ylabel("Tempearture(F)", fontsize=16) plt.tick_params(axis='both', which='major', labelsize=16) plt.show()