python散点图

㈠ 初学python，pylab scatter散点图的颜色条怎么显示

这张图的代码是Movie.plot.scatter(x='rank',y='RatingNum',c='Rating10',s=80)，Movie是一个DataFrame，其中右侧Rating10有颜色条。
但是我想用彩色的点，于是就这样写plt.scatter(x=Movie['rank'],y=Movie['RatingNum'],c=Movie['Rating10'],edgecolors='face',s=80)，就没有右侧的颜色条了，怎么显示出右侧的颜色条呢？

发现加上一个plt.colorbar()就ok了

㈡ python里画散点图时有一条很粗的线是什么意思

which
: [‘major’ | ‘minor’ | ‘both’]
Default is ‘major’; apply arguments to which ticks.

which一共3个参数[‘major’ | ‘minor’ | ‘both’]
默认是major表示主刻度，后面分布为次刻度及主次刻度都显示

㈢ python散点图密度怎么计算

#!/usr/bin/env python
# -*- coding: utf-8 -*-
from math import pi
import logging

class Geometrie(object):
"""docstring for Geometrie"""
def __init__(self):
pass

def say(self):
print self.__class__.__name__

def compute_area(self):
pass

def compute_circumference(self):
pass

def say_cirumfrerence(self):
print "%s 's cirumfrerence is: %f" % (self.__class__.__name__, self.compute_circumference())

def say_area(self):
print "%s 's cirumfrerence is: %f" % (self.__class__.__name__, self.compute_area())

class Ellipse(Geometrie):
"""docstring for Ellipse"""
def __init__(self,major_axis, minor_axis):
"""
major_axis is a
minor_axis is b
"""
super(Ellipse, self).__init__()
if not (isNum(major_axis) and isNum(minor_axis)):
raise Exception("TypeError: Please make sure the major:\
{0!r} and minor {1!r} axis are correct.".format(major_axis, minor_axis))
else:
self.a=major_axis
self.b=minor_axis

def compute_circumference(self):
q=self.a+self.b
h=(abs((self.a-self.b)/(self.a-self.b)))**2
m=22/(7*pi)-1
n=(abs((self.a-self.b)/self.a))**(33.397)
return pi*q*(1+3*h/(10+(4-3*h)**(0.5)))*(1+m*n)

def compute_area(self):
return self.a*self.b*pi

class Square(Geometrie):
"""
docstring for Square"Geometrie
"""
def __init__(self, length, width):
super(Square,self).__init__()
if not (isNum(length) and isNum(width)):
raise Exception("TypeError: Please make sure the length:\
{0!r} and width {1!r} axis are correct.".format(length, width))
else:
self.a = length
self.b = width

def compute_circumference(self):
return 2*(self.a+self.b)

def compute_area(self):
return self.a*self.b

class Circle(Geometrie):
"""docstring for Circle"""
def __init__(self, radius):
super(Circle, self).__init__()
if not (isNum(radius)):
raise Exception("TypeError: Please make sure the radius:\
{0!r} is correct.".format(radius))
else:
self.r = radius

def compute_circumference(self):
return (2*self.r)*pi

def compute_area(self):
return pi*(self.r**2)

def isNum(value):
try:
value + 1
except TypeError:
return False
else:
return True

def main():
"""
docstring for main
"""
Es = Ellipse(2,1)
Es.say_cirumfrerence()
Es.say_area()
Sq = Square(2,1)
Sq.say_cirumfrerence()
Sq.say_area()
Cr = Circle(4)
Cr.say_cirumfrerence()
Cr.say_area()

if __name__ == '__main__':
main()

㈣ python线性回归散点图怎么做

import matplotlib.pyplot as plt
plt.scatter(xdata,ydata)
(xdata,ydata为两个需要作图的数据集)

㈤ Python怎样给散点图上的点之间加上有向箭头

1、首先，我们打开我们的电脑，然后我们打开我们电脑上面的一个excel文档。

㈥ 如何制作带标签的散点图 python

#pipinstallseaborn
#http://seaborn.pydata.org/generated/seaborn.lmplot.html#seaborn.lmplot


%matplotlibinline
importseabornassns
tips=sns.load_dataset("tips")
sns.lmplot(x="total_bill",y="tip",hue="smoker",data=tips,fit_reg=False)

㈦ 用python语句，如何使散点图中的点分布在一定的范围内

使用循环的continue呗，满足就写入散点，不满足就略过

㈧ python matplotlib怎样画散点图

你的x轴输入应该是time埃为什么不输入进去呢？ plt.plot()第一个参数你肯定输入了，但是第二参数没有输入，所以默认x轴自增，这个你直接将time数组输入进去就可以了，plt.plot(x,y)

㈨ 如何采用Python语言来化散点图

1、打开自己的winPython程序，如图所示；

㈩ 一个Python小问题，在用Scatter()绘制散点图的时候，里面的一个which参数是什么意思

http://matplotlib.org/api/pyplot_api.html?highlight=tick_params#matplotlib.pyplot.tick_params

which
: [‘major’ | ‘minor’ | ‘both’]
Default is ‘major’; apply arguments to which ticks.

which一共3个参数[‘major’ | ‘minor’ | ‘both’]
默认是major表示主刻度，后面分布为次刻度及主次刻度都显示