import matplotlib.pyplot as plt import seaborn as sns import notebook notebook.__version__ 版本:'6.5.4' tips_cannnot = sns.load_dataset('tips') URLError: <urlopen error [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应,连接尝试失败。> 先下载到本地: tips = pd.re...
importmatplotlib.pyplotaspltimportnumpyasnp# Fixing random state for reproducibilitynp.random.seed(19680801) N =100r0 =0.6x =0.9* np.random.rand(N) y =0.9* np.random.rand(N) area = (20* np.random.rand(N))**2# 0 to 10 point radiic = np.sqrt(area) r = np.sqrt(x * x + y ...
在散点图中创建自定义椭圆符号。 importmatplotlib.pyplotaspltimportnumpyasnp# unit area ellipserx, ry =3.,1.area = rx * ry * np.pi theta = np.arange(0,2* np.pi +0.01,0.1) verts = np.column_stack([rx / area * np.cos(theta), ry / area * np.sin(theta)]) x, y, s, c ...
I wish SPSS had the ability to draw error bars around the smoothed means (you can draw them around the linear regression lines with quadratic or cubic polynomial terms, but not around the local estimates likesmooth.loessorsmooth.mean). I realize they are not well defined and rarely have cove...
演示散点图与不同的标记颜色和大小。 importnumpyasnpimportmatplotlib.pyplotaspltimportmatplotlib.cbookascbook# Load a numpy record array from yahoo csv data with fields date, open, close,# volume, adj_close from the mpl-data/example directory. The record array# stores the date as an np.datetim...
还演示了如何通过给alpha值介于0和1之间来调整标记的透明度。 importmatplotlib.pyplotaspltfromnumpy.randomimportrand fig, ax = plt.subplots()forcolorin['red','green','blue']: n =750x, y = rand(2, n) scale =200.0* rand(n) ax.scatter(x, y, c=color, s=scale, label=color, alpha=0.3...
importnumpyasnpimportmatplotlib.pyplotasplt# first define the ratiosr1 =0.2# 20%r2 = r1 +0.4# 40%# define some sizes of the scatter markersizes = np.array([60,80,120])# calculate the points of the first pie marker## these are just the origin (0,0) +# some points on a circle ...
importmatplotlib.pyplotaspltimportnumpyasnp# Fixing random state for reproducibilitynp.random.seed(19680801) x = np.arange(0.0,50.0,2.0) y = x **1.3+ np.random.rand(*x.shape) *30.0s = np.random.rand(*x.shape) *800+500plt.scatter(x, y, s, c="g", alpha=0.5, marker=r'$\clubsu...
从散点图创建直方图,并将其添加到散点图的两侧。 importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.tickerimportNullFormatter# Fixing random state for reproducibilitynp.random.seed(19680801)# the random datax = np.random.randn(1000) y = np.random.randn(1000) ...
创建多个具有不同星号符号的散点图。 importnumpyasnpimportmatplotlib.pyplotasplt# Fixing random state for reproducibilitynp.random.seed(19680801) x = np.random.rand(10) y = np.random.rand(10) z = np.sqrt(x**2+ y**2) plt.subplot(321) ...