python绘图如何自定义x轴

t_range = pd.date_range('2020-01-01', '2021-1-1', freq='10min', closed='left')
t_range_test = t_range.map(lambda x: x.strftime('%m-%d %H:%M:%S'))

t_range_test
Out[42]: 
Index(['01-01 00:00:00', '01-01 00:10:00', '01-01 00:20:00', '01-01 00:30:00',
       '01-01 00:40:00', '01-01 00:50:00', '01-01 01:00:00', '01-01 01:10:00',
       '01-01 01:20:00', '01-01 01:30:00',
       ...
       '12-31 22:20:00', '12-31 22:30:00', '12-31 22:40:00', '12-31 22:50:00',
       '12-31 23:00:00', '12-31 23:10:00', '12-31 23:20:00', '12-31 23:30:00',
       '12-31 23:40:00', '12-31 23:50:00'],
      dtype='object', length=52704)

fig = plt.figure(figsize=(16, 8))
plt.scatter(data_ws_draw['test'], data_ws_draw['percentage'])
plt.xticks(range(0, len(data_ws_draw['test']), 4320), rotation=45)
for i, txt in enumerate(data_ws_draw['test']):
    if i%400==0:  # 标签也可以通过 rotation 进行旋转
	    plt.annotate(txt, (data_ws_draw['test'][i],data_ws_draw['percentage'][i]), rotation=90)  

plt.xticks(range(160000,320000,20000), labels=[‘160K', ‘180K', ‘200K', ‘220K', ‘240K', ‘260K', ‘280K', ‘300K'])

import json
from matplotlib import pyplot as plt
filename='btc_close_2017.json'
with open(filename) as f:
    btc_data=json.load(f)
#创建5个列表，存储日期和收盘价
dates=[]
months=[]
weeks=[]
weekdays=[]
close=[]
#打印每一天的信息
for btc_dict in btc_data:
    dates.append(btc_dict['date'])
    months.append(int(btc_dict['month']))
    weeks.append(int(btc_dict['week']))
    weekdays.append(btc_dict['weekday'])
    close.append(int(float(btc_dict['close'])))
#创建图表
fig=plt.figure(dpi=128,figsize=(10,6))    
plt.plot(dates,close,c='blue')
#设置图标格式
plt.rcParams['font.sans-serif']=['SimHei'] #指定默认字体
plt.rcParams['axes.unicode_minus']=False  #解决保存图像时符号-显示为方块的2问题
plt.title("收盘价 （RMB）",fontsize=20)
#plt.xlabel=('')
plt.xticks(range(0,365,20)) #共365个值，每20个点显示一次
fig.autofmt_xdate()
#plt.ylabel('', fontsize=16)
plt.tick_params(axis='both',which='major',labelsize=16)
plt.show()

# xax = p1.getAxis('left') # 改成坐标轴y
xax = p1.getAxis('bottom') # 坐标轴x
ticks = [list(zip(range(10), ('16:23', '16:28', '16:33', '16:40', '16:45','16:23', '16:28', '16:33', '16:40', '16:45')))] # 声明五个坐标，分别是
xax.setTicks(ticks)

x=1:5;
y=3*rand(1,5);
plot(x,y)
set(gca,'xtick',[1 2 3 4 5])
set(gca,'xticklabel',{'a','b','c','d','e'})

import numpy as np
import matplotlib.pyplot as plt
x = [2.3,4.5,3,7,6.5,4,5.3]
y = [5,4,7,5,5.3,5.5,6.2]
n = np.arange(7)
fig, ax = plt.subplots()
ax.scatter(x, y, c='r')
for i, txt in enumerate(n):
	ax.annotate(txt, (x[i],y[i]))

import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号