stacked | 易学教程

使用openpyxl生成包含echarts柱形图的Excel文件

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使用openpyxl生成包含echarts柱形图的Excel文件效果图如下: 代码如下: from openpyxl import Workbook from openpyxl.chart import BarChart, Series, Reference wb = Workbook(write_only=True) ws = wb.create_sheet() rows = [ ('时间', '男', '女'), (2015, 70414, 67048), (2016, 70815, 67456), (2017, 71137, 67871), (2018, 71351, 68187), (2019, 71527, 68478) ] for row in rows: ws.append(row) chart1 = BarChart() chart1.type = "col" chart1.style = 1 chart1.title = "柱形图" chart1.y_axis.title = '数量(万人)' chart1.x_axis.title = '时间' data = Reference(ws, min_col=2, min_row=1, max_row=6, max_col=3) cats = Reference(ws, min_col=1, min_row=2,

Qt5 动态载入 *.ui 文件，及使用其图元对象（基于pyqt5描述）

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参考：《 PyQt5:uic 官方教程》工具 pyuic5 的使用如果没有安装，则可以通过以下指令安装 pyuic5： sudo apt-get install pyqt5-dev-tools Usage: pyuic5 [options] <ui-file> Options: 　　-p, --preview　　show a preview of the UI instead of generating code 　　-o FILE　　　　 write generated code to FILE instead of stdout 　　-x, --execute　 generate extra code to test and display the class 　　-d, --debug　　 show debug output 　　--from-imports　 generate imports relative to '.' 　　--resource-suffix=SUFFIX　　append SUFFIX to the basename of resource files [default: _rc] 动态载入UI文件及图元对象 import 模块 import PyQt5.uic 其内容如下： PACKAGE CONTENTS Compiler (package)

矩池云 | 教你如何使用GAN为口袋妖怪上色

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在之前的Demo中，我们使用了条件GAN来生成了手写数字图像。那么除了生成数字图像以外我们还能用神经网络来干些什么呢？在本案例中，我们用神经网络来给口袋妖怪的线框图上色。第一步: 导入使用库 from __future__ import absolute_import, division, print_function, unicode_literals import tensorflow as tf tf.enable_eager_execution() import numpy as np import pandas as pd import os import time import matplotlib.pyplot as plt from IPython.display import clear_output 口袋妖怪上色的模型训练过程中，需要比较大的显存。为了保证我们的模型能在2070上顺利的运行，我们限制了显存的使用量为90%, 来避免显存不足的引起的错误。 config = tf.compat.v1.ConfigProto() config.gpu_options.per_process_gpu_memory_fraction = 0.9 session = tf.compat.v1.Session(config=config) 定义需要使用到的常量。

使用安富莱harldfault调试方法总结

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https://blog.csdn.net/zhzht19861011/article/details/8645661 在编写STM32程序代码时由于自己的粗心会发现有时候程序跑着跑着就进入了 HardFault_Handler中断，按照经验来说进入HardFault_Handler故障的原因主要有两个方面： 1：内存溢出或则访问越界。 2：堆栈溢出。发生异常后我们可以首先查看LR寄存器的值，确认当前使用的堆栈是MSP还是PSP，然后找到相对应的堆栈指针，并在内存中查看相对应堆栈的内容，内核将R0~R3，R12，LR，PC，XPRS寄存器依次入栈，其中LR即为发生异常前PC将要执行的下一条指令地址。那么Cortex-M3 内核HardFault错误调试定位方法有：方法1 如何精确定位出问题代码的所在位置：以访问越界为例：（对STM32F103C8T6内部flash模拟EEPROM） #define STM32_FLASH_SIZE 64 #define STM32_FLASH_WREN 1 #define FLASH_SAVE_ADDR 0X08078000 #define FLASH_HIS_ADDR 0X08078002 ... FLASH_SAVE_ADDR是开始存储的基地址，STM32F103C8T6内部flash大小是64K，在STM32的内部闪存（FLASH

Vertically stacked multiplot in gnuplot

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问题 I am trying to plot 5 graph in vertically stacked pattern in gnuplot. There are many horizontally (x axis shared) graphs. I tried to adapt their solution. But somehow not works. Here is code. set key bottom center NX=5; NY=1 DX=0.01; DY=0.01; SX=0.25; SY=0.85 set bmargin DX; set tmargin DX; set lmargin DY; set rmargin DY set size SX*NX+DX*4,SY*NY+DY*4 set multiplot layout 1,5 #title 'Distance from inlet boundary' font #'areal,18' #1set title 'sa4(210)' set size SX,SY set label 1 '50m' at 1.5,

Align stacked bar charts usind pandas

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问题 I'm trying to align all of the stacked bar charts having the same index. What's the best way of doing this? This is my code so far: xantho99 = [545/60, 6/60, 1688/60, 44/60] buch99 = [51/60, 2/60, 576/60, 7/60] myco99 = [519/60, 9/60, 889/60, 28/60] cory99 = [247/60, 5/60, 1160/60, 28/60] xantho90 = [545/60, 8/60, 989/60, 27/60] buch90 = [51/60, 3/60, 523/60, 5/60] myco90 = [519/60, 11/60, 802/60, 32/60] cory90 = [247/60, 7/60, 899/60, 27/60] xanthouc = [545/60, 0/60, 5407/60, 193/60] buchuc

Single error bar on stacked bar plot ggplot

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问题 I have been trying without any success to draw a stacked bar plot with a single error bar on top of each individual bar and not for each sections within bars. I can manage to draw all error bars for each section but did not find a solution to draw a single error bar. Here is the data frame df Sp Type Or Rate se 1 H Dis Bottom 14.5454545 8.0403025 2 H Dis Top 2.7272727 1.9403407 3 H Dis WP 0.9090909 0.9090909 4 H He Bottom 5.4545455 1.4845392 5 H He Top 15.4545455 5.0797135 6 H He WP 0.0000000

jqplot: elements of stacked bar chart missing

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问题 I've been struggeling with the following for quite some time now.. Hopefully someone can help me out. What I'm trying to do: Using jqplot I'm trying to combine a horizontal stacked bar chart with a line chart. The stacked bar chart should contain five values. The line chart should cross the stacked bar chart. What I've come up with so far: I've managed to build the horizontal stacked bar chart and the line crosses it as it should. The problem: My stacked bar chart now shows three blocks

R-stacked-grouped barplot with different fill in R

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问题 I have the following code: library(ggplot2) K <- data.frame(KK=c("30", "30", "30", "30","10", "10", "10", "10"),k=c("10", "8", "5", "2","10", "8", "5", "2"), Precision=c(85.2,87.5,100,100,82.5,83.3,85.2,94.4), Recall=c(73.3,80,100,100,51.4,54.8,61.1,87.9) , Fscore=c(70.8,79.4,100,100,49.1,54.2,62.7,90.3), Accuracy=c(82.2,86.7,100,100,63.3,66.7,73.3,93.3)) df2 <- reshape2::melt(K, 1:2) ggplot(df2, aes(k, value, fill = variable)) + geom_bar(stat = 'identity', position = 'dodge') + theme(legend

R-stacked-grouped barplot with different fill in R

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