2018.10.23

2018.10.23

matplotlib

今天在捣鼓matplotlib，把之前的内存分析数据，捣鼓成图片。目前来看效果还可以。
记录一些matplotlib学习经验
https://www.cnblogs.com/duye/p/8862666.html

# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt

matplotlib.rcParams["font.family"] = "SimHei"  # 支持中文
matplotlib.rcParams["axes.unicode_minus"] = False  # 正常显示负号

# 隐藏上右的线
def HideTopAndRight():
	ax = plt.gca()
	ax.spines['right'].set_color('none')

# 居中
def Center():
	ax = plt.gca()
	ax.xaxis.set_ticks_position('bottom')
	ax.spines['bottom'].set_position(('data', 0))
	ax.yaxis.set_ticks_position('left')
	ax.spines['left'].set_position(('data', 0))

# 画图
def DrawGraph(dctDrawData = None):
	if not dctDrawData:
		raise Exception("No Data!!")
	plt.figure()
	iLen = len(dctDrawData)
	iPos = 0
	for sTypeName, dctData in dctDrawData.iteritems():
		iPos += 1
		pGraph = plt.subplot(iLen, 1, iPos)  # iLen * 1 中第iPos个
		plt.sca(pGraph)  # 选中该图
		for sDataLabel, dctShowData in dctData.iteritems():
			lstXData = dctShowData.get("XData", [])
			lstYData = dctShowData.get("YData", [])
			HideTopAndRight()
			if len(pGraph.get_xticklabels()) > 15:  # label数量大于15竖着显示标签
				for tick in pGraph.get_xticklabels():
					tick.set_roration(270)
			plt.plot(lstXData, lstYData, label = dctShowData.get("Label", "Label"))
			plt.legend(loc='upper right')  # 标签位置
			plt.xlabel("X")
			plt.ylabel("Y")
	plt.show()  # 显示图片

# 同一副图显示多种情况图，有可能线条会折来折去，很不美观，如X轴的类型不一样，但都画在了一起
def ChangeDataSort(XData, YData, lstLabel):
	# XData X轴显示数据，YData Y轴显示数据 lstLabel X轴所有标签集合
	iFindPos = 0  # 从XData首位开始搜索
	for iPos, sLabel in enumerate(lstLabel):
		if sLabel in XData:
			iXDataPos = XData.index(sLabel)
			XData[iFindPos], XData[iXDataPos] = XData[iXDataPos], XData[iFindPos]  # 交换X轴位置
			YData[iFindPos], YData[iXDataPos] = YData[iXDataPos], YData[iFindPos]  # 同时交换对应Y轴位置
			iFindPos += 1
	return XData, YData

数据格式化输出

def Format(lstRowData, lstHeadData):
	BORDER1 = " | "
	BORDER2 = "="
	lstTempRowData = lstRowData[:]
	lstTempRowData.append(lstHeadData)
	lstCols = zip(*lstTempRowData)  # N 列
	lstColWidth = []  # 每列宽度
	for col in lstCols:
		iWidth = max([len(str(s)) for s in col])
		lstColWidth.append(iWidth)

	lstElement = []  
	for iWidth in lstColWidth:
		lstElement.append(BORDER2 * iWidth)
	sBorder = BORDER1.join(lstElement)  # "|=====|"分界线

	lstElement = []
	for sHead, iWidth in zip(lstHeadData, lstColWidth):
		lstElement.append(sHead.rjust(iWidth))  # 按iWidth右对齐，用空格补齐
	sContent = BORDER1.join(lstElement)  # 标题

	yield sContent

	yield sBorder

	for tRow in lstRowData:
		lstElement = []
		for sDesc, iWidth in zip(tRow, lstColWidth):
			lstElement.append(str(sDesc).rjust(iWidth))
		sContent = BORDER1.join(lstElement)
		yield sContent





# 将数据格式输出的方法
def OutputFormat(lstRowData, lstHeadData, f = None):
	if f is none:
		f = sys.stdout
	for s in Format(lstRowData, lstHeadData):
		f.write(s)
		f.write(os.linesep)
	f.flush()

#举例
lstRowData = [("小明", "8岁"), ("小红", "7岁")]
lstHeadData = ["Name", "Age"]
OutputFormat(lstRowData, lstHeadData)
'''
Name| Age
==========
小明|  8岁
小红|  7岁
'''