用python画条形图

在做毕设的过程中有些数据用表格来展现，会很难看出数据之间的差别，凸显不出数据的特点，所以想制作一个条形图，这里特地记录下，已备以后用到，这两张图对我这种小菜鸟来说可是花了一天的时间啊。。。。

import numpy as np
import matplotlib.pyplot as plt
import matplotlib
#指定默认字体
matplotlib.rcParams['font.sans-serif'] = ['FangSong']
matplotlib.rcParams['font.family']='sans-serif'c101= (8,7,3,7,10,4,11,8,11,10,8,9)
c102= (21,21,24,25,16,17,11,24,24,25,36,33)
c103= (4,4,10,3,9,8,12,2,4,5,2,6)
c104= (1,5,1,3,2,3,3,3,6,5,1,0)
c105= (3,1,0,1,3,3,1,2,0,0,0,0)
c106= (1,2,0,0,1,1,0,0,1,1,0,0)
c107= (1,0,1,0,0,1,0,0,0,0,0,0)
c108= (0,1,0,0,0,2,1,1,0,1,0,0)
c109= (1,0,1,1,0,0,1,1,0,0,0,0)ind = np.arange(0,24,2) # the x locations for the groups
width = 0.2  # the width of the barsfig,ax = plt.subplots()
rects1 = ax.bar(ind + width, c101, width, color='SkyBlue',align='edge', label='101')
rects2 = ax.bar(ind + 2*width, c102, width,color='IndianRed',align='edge', label='102')
rects3 = ax.bar(ind + 3*width, c103, width, color='Cyan',align='edge', label='103')
rects4 = ax.bar(ind + 4*width, c104, width, color='Magenta',align='edge', label='104')
rects5 = ax.bar(ind + 5*width, c105, width, color='Purple',align='edge', label='105')
rects6 = ax.bar(ind + 6*width, c106, width, color='Green',align='edge', label='106')
rects7 = ax.bar(ind + 7*width, c107, width, color='Yellow',align='edge', label='107')
rects8 = ax.bar(ind + 8*width, c108, width, color='Blue',align='edge', label='108')
rects9 = ax.bar(ind + 9*width, c109, width, color='Orange',align='edge', label='109')# Add some text for labels, title and custom x-axis tick labels, etc.#ax.set_title('Scores by group and gender')
plt.xticks(ind,('1班', '2班', '3班', '4班', '5班','6班','7班','8班','9班','10班','11班','12班'))
ax.legend(loc='upper center')plt.show()
fig.savefig('./test77.jpg')

竖起来的

%matplotlib notebook
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib
#指定默认字体
matplotlib.rcParams['font.sans-serif'] = ['FangSong']
matplotlib.rcParams['font.family']='sans-serif'
#解决负号'-'显示为方块的问题
matplotlib.rcParams['axes.unicode_minus'] = False
data = [[8, 21, 4, 1, 3, 1, 1, 0, 1],[7,21,4,5,1,2,0,1,0], [3,24,10,1,0,0,1,0,1],[7,25,3,3,1,0,0,0,1], [10,16,9,2,3,1,0,0,0], [4,17,8,3,3,1,1,2,0], [11,11,12,3,1,0,0,1,1], [8,24,2,3,2,0,0,1,1], [11,24,4,6,0,1,0,0,0], [10,25,5,5,0,1,0,1,0], [8,36,2,1,0,0,0,0], [9,33,6,0,0,0,0,0]]
df = pd.DataFrame(data,index=['1班','2班','3班','4班','5班','6班','7班','8班','9班','10班','11班','12班'],columns=pd.Index(['101','102','103','104','105','106','107','108','109']),)df.plot(kind='barh',figsize=(5,8)) plt.show()
#fig.savefig('./test2.jpg')

用python画条形图相关推荐

python画条形图
python画条形图,可以根据自己的需求修改 import matplotlib.pyplot as plt import numpy as npplt.rcParams['font.sans-ser ...
python画条形图-python绘制条形图方法代码详解
1.首先要绘制一个简单的条形图 import numpy as np import matplotlib.pyplot as plt from matplotlib import mlab from ...
python画条形图-python使用Matplotlib画条形图
本文实例为大家分享了python使用Matplotlib画条形图的具体代码,供大家参考,具体内容如下数据中国的四个直辖市分别为北京市.上海市.天津市和重庆市,其2017年上半年的GDP分别为124 ...
python 画条形图（柱状图）
文章目录 1. 竖放条形图 bar(x, height, [width], **kwargs) 2. 横放条形图 bar(x, width, [height], **kwargs) 3. 并列条形图 ...
python画条形图-用Matplotlib如何绘制条形图、直方图和散点图
Matplotlib是一个Python 2D绘图库,它可以在各种平台上以各种硬拷贝格式和交互式环境生成出具有出版品质的图形. 上一篇我们讲解到Matplotlib 中的图例,标题和标签介绍,今天我们开 ...
python画条形图-Python数据可视化：基于matplotlib绘制「条形图」
简介条形图 (bar chart)是用宽度相同条形的高度或长短来表示数据多少的图形,可以横置或纵置.纵置时的条形图也称为柱形图 (column chart). 绘制条形图 1 import mat ...
python画条形图-python 中条形图绘制
一.条形图绘制参数详解 1.bar(left, height, width=0.8, bottom=None, color=None, edgecolor=None, linewidth=None, ...
python画条形图-python3使用matplotlib绘制条形图
本文实例为大家分享了python3使用matplotlib绘制条形图的具体代码,供大家参考,具体内容如下绘制竖状条形图代码 from matplotlib import pyplot as plt ...
python画条形图并分类-python matplotlib库绘制条形图练习题
练习一:假设你获取到了2017年内地电影票房前20的电影(列表a)和电影票房数据(列表b),那么如何更加直观的展示该数据? a = ["战狼2","速度与激情8" ...

用python画条形图

用python画条形图相关推荐

最新文章

热门文章