from pylab import mpl #设置中文字体 mpl.rcParams['font.sans-serif'] = ['SimHei']#解决图像保存时负号'-'显示为方框的问题 mpl.rcParams['axes.unicode_minus'] = False #定义变量 num = [20, 30, 40, 50]grade = ['一年级', '二年级', '三年级', '四年级']colors = ['orange', 'purple...
import numpy as np import matplotlib.pyplot as plt from pylab import mpl labels = np.array(['A', 'B', 'C', 'D', 'E']) data = np.array([73, 89, 83, 95, 90]) data = np.concatenate((data, [data[0]])) # 数值闭合成环 angles = np.linspace(0, 2 * np.pi, len(labels)...
import pandas as pd import numpy as np import matplotlib.pyplot as plt %matplotlib inline #正常显示画图时出现的中文和负号 from pylab import mpl mpl.rcParams['font.sans-serif']=['SimHei'] mpl.rcParams['axes.unicode_minus']=False 将每一个时间戳(timestamp)内的数据作为输入参数,构建类TickData。
#第一步,导出相关函数库 import numpy as np import pandas as pd import matplotlib.pyplot as plt import math import scipy.stats as st import statsmodels.api as sm import seaborn as sns from pylab import mpl from matplotlib.font_manager import FontProperties #中文显示 from pylab import mpl mpl.rc...
from pylab import mpl import numpy as np import pandas as pd import matplotlib.pyplot as plt plt.style.use("seaborn-darkgrid") # 选择图形主题(默认为全刻度) # 共有五个主题:暗网格(darkgrid),白网格(whitegrid),全黑(dark),全白(white),全刻度 ...
from pylab import mpl mpl.rcParams['font.sans-serif']=['SimHei'] mpl.rcParams['axes.unicode_minus']=False #先定义一个画图函数,后面都会用到 def ts_plot(data, lags=None,title=''): if not isinstance(data, pd.Series): data = pd.Series(data) ...
import pandas as pd import numpy as np import matplotlib.pyplot as plt #注意下面的%命令只能在jupyter notebook上运行,否则需要删除或注释掉 %matplotlib inline #正常显示画图时出现的中文和负号 from pylab import mpl mpl.rcParams['font.sans-serif']=['SimHei'] ...
import matplotlib.pyplot as plt import random from pylab import mpl # 设置显示中文字体 mpl....
import numpy as np from PIL import Image from pylab import mpl from wordcloud import WordCloud import pandas as pd plt.figure(figsize=(13, 6), dpi=500) # 定义一个函数 def grey_color_func(word, font_size, position, orientation, ranndom_state=None, **kwargs): return "hsl(0,0%%,%d%%...
importpandas as pd importmatplotlib.pyplot as plt frompylabimportmpl #设置标题字体 mpl.rcParams['font.sans-serif']=['FangSong'] df=pd.read_csv('data.csv', index_col='年份') df.head() #dataframe读取数据的方式,行属性 x=df.index.values ...