from sympy import *expand('x/2+x**3')expand('(x+y)^3')

fig.add_subplot(1, 3, 1).set_ylabel(r'$Score_{nlp}$') 指定某个来设置# 不同星级的情感评分fig = plt.figure(dpi=150)# dpi=150for n, df in enumerate([df_m,df_p,df_h]):ax = fig.add_subplot(1, 3, n+1)# 3行3列的第一个位置df.boxplot

trainData# 数据概览最后一列是因变量def check_var(df, col):# 查看变量概览'''df: DataFramecol: column's namereturn/print: describe/value_counts and groupby.y.mean()需要修改的部分: 把因变量y1_is_purchase 换成当前dataframe的因变量名'''if len(

plt.axvline(x=i,ls="-",c="gray", linewidth=0.3)#添加垂直直线plt.axhline(y=j,ls="-",c="gray", linewidth=0.3)#添加水平直线

使用的是impala包。如何安装impala：https://blog.csdn.net/weixin_43713105/article/details/111921221def read_sql(sql):'''读取hive的sql，二维列表参数：sql：sql语句返回：DataFrame'''from impala.dbapi import connectimport pandas as pd

from urllib.request import quote, unquote# 解码url3 = "https://www.baidu.com/baidu?tn=monline_4_dg&ie=utf-8&wd=%E5%9C%B0%E5%8C%BA+%E9%A3%9F%E5%93%81+%E8%A1%A3%E7%9D%80+%E7%87%83%E6%96%99+%E4%BD%

u’: ‘助词’, ‘ud’: ‘得’, ‘ug’: ‘过’, ‘uj’: ‘的’, ‘ul’: ‘了’, ‘uv’: ‘地’, ‘uz’: ‘着’,‘v’: ‘动词’, ‘vd’: ‘副动词’, ‘vg’: ‘动语素’, ‘vi’: ‘动词’, ‘vn’: ‘名动词’, ‘vq’: ‘动词’,‘a’: ‘形容词’, ‘ad’: ‘副形词’, ‘ag’: ‘形语素’, ‘an’: ‘名形词’, ‘

x = np.arange(95.5, 110,0.1)y = stats.norm.pdf(x,100,7)#创建画布fig = plt.figure()#使用axisartist.Subplot方法创建一个绘图区对象axax = axisartist.Subplot(fig, 111)#将绘图区对象添加到画布中fig.add_axes(ax)#通过set_axisline_style方法设置绘

% 提取系数syms x1 x2 x3y1 =x2*4 +x3*100 + x1*3 +10coeffs(y1) % [ 10, 100, 4, 3] 注意：先后依次为常数，x3 x2 x1的系数y3 = x1^2*2 + x2^3*4 + x3*6 + 8coeffs(y3) % [ 8, 4, 2, 6] 常数，高次幂到低次幂syms a b cy2 = a*3+b*6+c*1+9coeffs

首先，背景透明参数`plt.savefig(‘output_pltsave.png’, format=‘png’, bbox_inches=‘tight’, dpi=300, transparent=True)注意：这里的dpi只有150，会造成空白区域太大plt.savefig('output_pltsave.png', format='png', bbox_inches='tight', dp