importnumpy as npimportmatplotlib.pyplot as pltimportmatplotlib.dates as mdates#np.set_printoptions(threshold=np.inf) # 去掉print省略的内容#导入数据time,id,info=np.loadtxt('20190711.csv',dtype=str,delimiter=',',usecols=(
importmatplotlib.datesasmdate dateparse=lambda dates:pd.datetime.strptime(dates,'%Y%m%d')data=pd.read_csv('req_user.csv',encoding='utf-8',parse_dates=['date'],date_parser=dateparse)plt.figure(figsize=(10,7))plt.plot(data["date"],data['req_user'])plt.xlabel('date',fontsize=15)plt....
英文为Times New Romanplt.rcParams['axes.unicode_minus']=False#用来正常显示负号filename = sys.argv[1]#filename = "2.txt"file =open(filename)#打开文档data = file.readlines()#读取文档数据para_time = []#新建列表,用于保存第一列数据para_pos = []...
importpandasas pd df = pd.read_csv('000001.csv',index_col='Unnamed: 0') #这里要设置第一列,没名字这列为索引,这列是时间 df.index = pd.to_datetime(df.index) #把索引这列改成datetime对象 import matplotlib.pyplot as plt %matplotlib qt5 #这句是让ipyhon再绘图时,图像不会显示在Console中,...
data_train = pd.read_csv("E:\Python27\Algorithm\Chapter1\Data\Datasets\Titanic\\train.csv") data_train.columns import matplotlib import matplotlib.pyplot as plt myfont =matplotlib.font_manager.FontProperties(fname=r"c:\windows\fonts\simsun.ttc",size=14) ...
data = pd.read_csv('UNRATE.csv') data['DATE']=pd.to_datetime(data['DATE']) data.info() 一、画图。 导入matplotlib库。 import matplotlib.pyplot as plt plt.plot() plt.show() 不传入任何数据是画一张空白的图。 first_twelve = data[0:12] ...
import pandas as pdimport matplotlib.pyplot as pltfrom numpy import arangereviews = pd.read_csv('fandango_scores.csv')cols = ['FILM', 'RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']norm_reviews = reviews[cols]#print(norm_reviews[:1])num...
5import time 6import matplotlib 7import numpy as np 8import seaborn as sns 9import pandas as pd10import matplotlib.pyplot as plt 1112# 读取数据13data = pd.read_csv("2020-02-13-all-4db-2no.csv")1415# 设置窗口16fig, ax = plt.subplots(1,1)17print(data['province'])1819# 设置绘图...
import pandas as pd unrate = pd.read_csv('unrate.csv') unrate['DATE'] = pd.to_datetime(unrate['DATE']) print(unrate.head(12)) 1. 2. 3. 4. 导入库: import matplotlib.pyplot as plt 1. 先绘制一个简单的折线图: first_twelve = unrate[0:12] ...