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()

在这里插入图片描述

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()

在这里插入图片描述

来源：CSDN

作者：啥都不会可咋整

链接：https://blog.csdn.net/weixin_42152944/article/details/104754348

标签

palette

Python中画条形图

seaborn画图