在 Matplotlib plot 中显示从 0 到 100 的 y 轴

Question

I wanted to display my data and wanted to set the y axis to show always from 0 to 100 or from 10 to 60.

I used "set_ylim()" and it worked with a small list but then I tried to put my data in that had datetime as x and a int as y and this didn't worked or the list is too long.

the data list looks like this: [ [ ], [ ], [ ] ] and the first list has datetime.datetime() the second is an int that mostly has 20,22 and 21 repeating and the third looks similiar to the second.

using the small list with set_ylim: https://i.imgur.com/TinN6pT.png

with my data and set_ylim: https://i.imgur.com/uWPCYy6.png

with my data working without set_ylim: https://i.imgur.com/wh4wPwp.png

import matplotlib.pyplot as plt
import matplotlib.animation as anim
import matplotlib.dates as mdates
import numpy
import time
import datetime

#####read data####
data = ([datetime.datetime(2020, 5, 15, 7, 33, 35), 
        datetime.datetime(2020, 5, 15, 7, 33, 37), 
        datetime.datetime(2020, 5, 15, 7, 33, 39), 
        datetime.datetime(2020, 5, 15, 7, 33, 41), 
        datetime.datetime(2020, 5, 15, 7, 33, 43), 
        datetime.datetime(2020, 5, 15, 7, 33, 45)], 

        ['20', '20', '22', '20', '20', '22'], 

        ['30', '32', '31', '30', '32', '31'])
##################

#####plot data#####
fig = plt.figure()
#axis1#
ax1=fig.add_subplot(211)

#axis2#
ax2=fig.add_subplot(212)


def update(i):

    #readData(data)

    ax1.clear()
    ax2.clear()

    ax1.set_ylim((10,60))
    ax2.set_ylim((0,100))

    #ax1.plot([1,2], [20,30])
    #ax2.plot([2,3],[2,3])
    ax1.plot(data[0],data[1],color="red")
    ax2.plot(data[0],data[2],color="blue")

    #tweak style#
    ax1.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
    ax2.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))

###################

a = anim.FuncAnimation(fig,update,repeat=False)
plt.show()

Answer 1

You are plotting strings - change them to ints

ax1.plot(data[0],[int(thing) for thing in data[1]],color="red")
ax2.plot(data[0],[int(thing) for thing in data[2]],color="blue")