欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页

Python中画条形图

程序员文章站 2022-05-02 19:18:04
...

seaborn画图

import pandas as pd
import numpy as np
import seaborn
from matplotlib import pyplot as plt

a = ["战狼2","速度与激情8","功夫瑜伽","西游伏妖篇","变形金刚5:最后的骑士","摔跤吧!爸爸","加勒比海盗5:死无对证","金刚:骷髅岛","极限特工:终极回归","生化危机6:终章","乘风破浪","神偷奶爸3","智取威虎山","大闹天竺","金刚狼3:殊死一战","蜘蛛侠:英雄归来","悟空传","银河护卫队2","情圣","新木乃伊",]

b=[56.01,26.94,17.53,16.49,15.45,12.96,11.8,11.61,11.28,11.12,10.49,10.3,8.75,7.55,7.32,6.99,6.88,6.86,6.58,6.23]

tmp3 = pd.DataFrame({"movie_name":a,"movie_sale":b})
print(tmp3)
tmp3.describe()

# 支持中文
#fig,axes=plt.subplots(1,2)  规定图形排版
plt.rcParams['font.sans-serif'] = ['Arial Black']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号
plt.xticks(rotation= 90)
#sn.barplot(tmp3['movie_name'],tmp3['movie_sale'],palette="Set3",ax = axes[0])
sn.barplot(tmp3['movie_name'],tmp3['movie_sale'],palette="Set2") #palette调颜色,一共有3中Set1-3
plt.show()

Python中画条形图

plt.figure(figsize=(8,6),dpi = 80)  #调整图像大小
a=[131,  98, 125, 131, 124, 139, 131, 117, 128, 108, 135, 138, 131, 102, 107, 114, 119, 128, 121, 142, 127, 130, 124, 101, 110, 116, 117, 110, 128, 128, 115,  99, 136, 126, 134,  95, 138, 117, 111,78, 132, 124, 113, 150, 110, 117,  86,  95, 144, 105, 126, 130,126, 130, 126, 116, 123, 106, 112, 138, 123,  86, 101,  99, 136,123, 117, 119, 105, 137, 123, 128, 125, 104, 109, 134, 125, 127,105, 120, 107, 129, 116, 108, 132, 103, 136, 118, 102, 120, 114,105, 115, 132, 145, 119, 121, 112, 139, 125, 138, 109, 132, 134,156, 106, 117, 127, 144, 139, 139, 119, 140,  83, 110, 102,123,107, 143, 115, 136, 118, 139, 123, 112, 118, 125, 109, 119, 133,112, 114, 122, 109, 106, 123, 116, 131, 127, 115, 118, 112, 135,115, 146, 137, 116, 103, 144,  83, 123, 111, 110, 111, 100, 154,136, 100, 118, 119, 133, 134, 106, 129, 126, 110, 111, 109, 141,120, 117, 106, 149, 122, 122, 110, 118, 127, 121, 114, 125, 126,114, 140, 103, 130, 141, 117, 106, 114, 121, 114, 133, 137,  92,121, 112, 146,  97, 137, 105,  98, 117, 112,  81,  97, 139, 113,134, 106, 144, 110, 137, 137, 111, 104, 117, 100, 111, 101, 110,105, 129, 137, 112, 120, 113, 133, 112,  83,  94, 146, 133, 101,131, 116, 111,  84, 137, 115, 122, 106, 144, 109, 123, 116, 111,111, 133, 150]
bin_width = 3
num_bins = int((max(a)-min(b))/bin_width)
plt.hist(a,num_bins)
plt.xticks(list(range(min(a),max(a)))[::bin_width],rotation = 45)
plt.grid(True, linestyle = "-" ,alpha = 0.5)
plt.rcParams['font.sans-serif'] = ['Arial Black']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号
plt.xlabel(u"影片时长")
plt.ylabel(u"频次")
plt.title("影片播放时长频数统计")   #不加u似乎也行
plt.show()

Python中画条形图