python 绘制svg之后利用 AI进行渲染

# -*- coding: UTF-8 -*-
__author__ = zy
__time__ = 2020/4/20 13:38
import json
import time
import pandas as pd
import matplotlib
matplotlib.rcParams[backend] = SVG
import matplotlib.pyplot as plt
import pandas
import requests
import numpy as np
plt.rcParams[font.family] = [sans-serif]
plt.rcParams[font.sans-serif] = [SimHei]

df = pandas.read_csv(day_sen0.csv, engine=python, sep=,, encoding="utf_8_sig")
neg=df[neg].values.tolist()
neu=df[neu].values.tolist()
pos=df[pos].values.tolist()
rate=df[rate].values.tolist()

time_l=df[time].values.tolist()

plt.plot(time_l, rate,m.-.)  # plot在一个figure窗口中添加一个图，绘制曲线，默认颜色
# 绘制离散点
plt.plot(time_l, rate, .y)  # 绘制黄色的点，为了和曲线颜色不一样

plt.plot(time_l, rate, om)  # 绘制紫红色的圆形的点

plt.plot([2020/1/23, 2020/1/23], [0.11, rate[time_l.index(2020/1/23)]], "--", color="g")

for x0, y0 in zip(time_l, rate):
    if x0==2020/1/23:
        plt.annotate(gg, xy=(x0, y0), xytext=(x0, y0 +0.01), )  # 添加注释arrowprops=dict(arrowstyle=->)
        # plt.quiver(x0, y0 - 0.04, 0, 1, color=g, width=0.005)  # 绘制箭头
        plt.plot(x0, y0, or)
    if x0==2020/2/10:
        plt.annotate(应收尽收, xy=(x0, y0), xytext=(x0, y0 + 0.01))  # 添加注释
        plt.quiver(x0, y0 - 0.04, 0, 1, color=g, width=0.005)  # 绘制箭头
        plt.plot(x0, y0, or)
# x = range(2, 21, 5)
# y = np.log10(x) + 0.5
# xytext=(x0, y0 - 1),

# plt.annotate(Original point, xy=(2020/1/23, rate[time_l.index(2020/1/23)]),arrowprops=dict(arrowstyle=->))



plt.xticks(list(time_l)[::6],time_l[::6],)

import pylab as pl

pl.xticks(rotation=45)

# plt.xlabel(date)
plt.ylabel(rate)

plt.legend()

print(df)
plt.savefig(1.png)
# plt.show()

plt.savefig(kankan.svg,format=svg)