plt.scatter(x,y,s=300,c='r',marker='^',alpha=0.5,linewidths=7,edgecolors='g') 官网: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html#matplotlib.pyplot.scatter https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.html...
bin_y = np.ma.masked_where(count < MinimumBinSize, bin_y)# these lines produce a meaningless warning - don't know how to solve it yet.ifErrorBars:# only plot errorbars for y as std dev of x is just the bin width == meaninglessplt.scatter( bin_x, bin_y, c=count, s=50, ed...
plt.scatter(X[0,:],X[1,:],c=y.reshape(X[0,:].shape),cmap=plt.cm.Spectral) 这是由于在原文件中,他写的c=y,实际上要改成上面代码才可以运行,注意c后面的维数。
# 需要导入模块: from matplotlib import pyplot [as 别名]# 或者: from matplotlib.pyplot importerrorbar[as 别名]defcalib_plot(fu_time, n_bins, pred_surv, time, dead, color, label, error_bars=0,alpha=1., markersize=1., markertype='o'):cuts = np.concatenate((np.array([-1e6]),np.per...
这是一个非常基本的带文字标签的plot(): import matplotlib.pyplot as plt import numpy as np t = np.arange(0.0, 2.0, 0.01) s = 1 + np.sin(2*np.pi*t) plt.plot(t, s) plt.xlabel('time (s)') plt.ylabel('voltage (mV)')
解析: scatterplot()函数是matplotlib.pyplot模块中car包提供的一个函数,其主要功能是绘制散点图。下面分别对各个选项进行解析: A. 用于绘制散点图,可以指定x轴和y轴的数据 这个选项是正确的。scatterplot()函数允许用户同时指定x轴和y轴的数据,用于绘制二维数据点的散点图。函数的基本使用方法如下: ...
百度试题 题目pyplot中绘制柱状图的函数是()。 A.plot( )B.scatter( )C.bar( )D.pie( )相关知识点: 试题来源: 解析 C.bar( ) 反馈 收藏
14.matplotlib库中的 pyplot子库主要用来绘制图表,其中函数 scatter()用来绘制散点图,绘制曲线图的函数是()。A. plot (B. ylabe
Matplotlib.pyplot.plot 绘图 matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, *, edgecolors=None, plotnonfinite=False, data=None, **kwargs)
Python librarymatplotlib.pyplotis used to draw the above chart. Two random variablesxandyare taken with random values. The scatter function plots a scatter plot. The scatter function takes 2 arguments i.e.xandyand a label variable gives the label to the plot. To name the axesX-axisandY-axis...