add_subplot(111) ax1.plot(x,y) ax1.text(-3,40,'function:y=x*x',family='fantasy',size=15,color='g',style='oblique',weight=20,bbox=dict(facecolor='r',alpha=0.2)) ax1.text(-3,30,'function:y=x*x',family='serif',size=15,color='r',style='italic',weight='black') plt....
pca1 = principalDf['pc1'].pct_change() autocorrelation = pca1.dropna().autocorr() print('Au...
# -*- coding: utf-8 -*- from scipy.spatial import Delaunay from numpy import * from scipy import * from PIL import * import homography import homography import warp from scipy import ndimage #仿射扭曲im1到im2的例子 im1 = array(Image.open('jimei/jimei9.jpg').convert('L')) subplot(14...
# Import Data df = pd.read_csv("https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv") # Create Fig and gridspec fig = plt.figure(figsize=(16,10), dpi=80) grid = plt.GridSpec(4,4, hspace=0.5, wspace=0.2) # Define the axes ax_main = fig.add_subplot(grid[...
liquor_rets = closing_df.pct_change()liquor_rets.head()现在可以比较两支股票的日收益率来检验相关性。首先让我们看一只股票和它本身的比较。将贵州茅台股票与自身进行比较，应该会显示出一个完美的线性关系。sns.jointplot('maotai', 'maotai', tech_rets, kind='scatter', color='seagreen')我们将使...
fig2 = plt.Figure() ax2 = fig2.add_subplot() fig2.set_size_inches(figsize) ax2.set_title("Simple pendulum animation, L=" + str(L) + "m", fontsize="medium") ax2.set_xlabel("Amplitudes", color='dimgray', fontsize=fontsize) ax2.set_ylabel("", color='dimgray', fontsize="...
change = img.ravel() 可得到change为: 代码示例如下: import cv2 import matplotlib.pyplot as plt img = cv2.imread(r'C:\Users\Wxr\Desktop\lena1.jpg') cv2.imshow('img', img) grayscale = plt.hist(img.ravel(), 256) plt.show(grayscale) ...
Fill the circle for an empty barb, # don't round the values, and change some of the size parameters axs1[1, 0].barbs( X, Y, U, V, np.sqrt(U ** 2 + V ** 2), fill_empty=True, rounding=False, sizes=dict(emptybarb=0.25, spacing=0.2, height=0.3)) # Change colors as well...
Datanames='groupA','groupB','groupC','groupD',size=[12,11,3,30]# create a figure and set different backgroundfig=plt.figure()# 设置背景颜色fig.patch.set_facecolor('black')# Change color of textplt.rcParams['text.color']='white'# Pieplot + circle on itplt.pie(size,labels=names...
2.3.1.1 add_subplot()方法 函数调用:ax = fig.add_subplot(r, c, p) 函数功能:生成绘图区域子图 传入参数: r, c, p r: int类型,fig区域等分行数 c: int类型,fig区域等分列数 p: int类型,ax所在fig位置处 返回参数: ax ax: AxesSubplot类型,<class 'matplotlib.axes._subplots.AxesSubplot'>,生成的...