我处理模拟数据并且最近一直在使用matplotlib并且遇到了令人烦恼的事情(一个错误？).
我一直允许matplotlib自动设置刻度标签及其类型(科学等),并且通过一些数据我得到了奇怪的科学股票标签.
在搜索分辨率时,我发现你可以调用set_powerlimits((n,m))来设置将使用科学记数法显示的数据限制.但我遇到了这个问题(如果我没记错的话),数据跨越了几个数量级,我的数据也到处都是,所以我需要某种程序化的解决方案,而不是硬解决方案.请参阅:http://matplotlib.org/api/ticker_api.html
下面我列出了示例数据,代码和屏幕截图.
#! /usr/bin/env python
from matplotlib import pyplot as plt
data = [
[1.83186088e-08,0.03275],
[1.07139009e-07,0.03275],
[2.06376627e-07,0.03275],
[3.03918517e-07,0.03275],
[4.06032883e-07,0.03275],
[5.01194017e-07,0.03275],
[6.02195723e-07,0.03275],
[7.03536925e-07,0.03275],
[8.04625154e-07,0.03275],
[9.06401951e-07,0.03275],
[1.00041895e-06,0.03275],
[1.10230745e-06,0.03275],
[1.2042525e-06,0.03275],
[1.30647822e-06,0.03275],
[1.40109887e-06,0.03275],
[1.50380097e-06,0.03275],
[1.60683242e-06,0.03275],
[1.70208505e-06,0.03275],
[1.80545692e-06,0.03275],
[1.90090648e-06,0.03275],
[2.00453092e-06,0.03275],
[2.10018627e-06,0.03275],
[2.20401747e-06,0.03275],
[2.30009359e-06,0.03275],
[2.4043033e-06,0.03275],
[2.50066449e-06,0.03275],
[2.60513728e-06,0.03275],
[2.70165405e-06,0.03275],
[2.80635938e-06,0.03275],
[2.90331342e-06,0.03275],
[3.00021199e-06,0.03275],
[3.10546819e-06,0.03275],
[3.20257899e-06,0.03275],
[3.30032923e-06,0.0327499999],
[3.40612833e-06,0.0327499999],
[3.50401732e-06,0.0327499997],
[3.60153069e-06,0.0327499996],
[3.70700708e-06,0.0327499993],
[3.80456907e-06,0.0327499988],
[3.90259984e-06,0.0327499982],
[4.00084149e-06,0.0327499973],
[4.10700266e-06,0.0327499959],
[4.2047462e-06,0.0327499942],
[4.30209468e-06,0.0327499918],
[4.40018204e-06,0.0327499886],
[4.50712875e-06,0.032749984],
[4.60630591e-06,0.0327499785],
[4.70519881e-06,0.0327499715],
[4.80398305e-06,0.0327499628],
[4.90251297e-06,0.0327499521],
[5.00182752e-06,0.032749939],
[5.10157551e-06,0.0327499232],
[5.20157575e-06,0.0327499043],
[5.30145192e-06,0.0327498822],
[5.40127044e-06,0.0327498565],
[5.500537e-06,0.0327498272],
[5.60773155e-06,0.0327497911],
[5.70660709e-06,0.0327497534],
[5.80610521e-06,0.0327497112],
[5.90651786e-06,0.0327496642],
[6.00749437e-06,0.0327496124], …