Python Forum

Hello,

I have a question of how I can plot the two arrays against each other from the link below. The array on the top should be plotted against the other array below it, but how do I fix the mismatch between them?
When I try to plot them, I got this error message "TypeError: unhashable type: 'numpy.ndarray'"

import csv
import itertools
import pandas 
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

#for time_seconds in range(1878820):
#for time_seconds in range(1527):   
 #   time = time_seconds
    #print(time)
time = np.arange(0, 1527, 1)
time_transposed = np.c_[time]
print(time_transposed)

with open("out_isi.txt", mode='r') as f:
   # data = csv.reader(f, delimiter=' ', quotechar='|')
    data = csv.reader(f)
    my_data = list(data)
    print(my_data)

    
plt.plot(time_transposed, my_data)
plt.show()

https://i.imgur.com/FbjPszX.png

My first thought is don't call np.c_ to transpose the time array. Just call plt.plot(time, my_data). Why do you think you need to transpose the time array?

(Sep-13-2021, 03:08 PM)deanhystad Wrote: [ -> ]My first thought is don't call np.c_ to transpose the time array. Just call plt.plot(time, my_data). Why do you think you need to transpose the time array?

I removed the transpose of the time array and I got the error message "TypeError: unhashable type: 'numpy.ndarray'". I forgott to remove the transpose from my previous code.

This works fine for me:

import math
import numpy as np
import matplotlib.pyplot as plt

degrees = np.arange(0, 360, 1)
my_data = [math.sin(math.radians(deg)) for deg in degrees]

plt.plot(degrees, my_data)
plt.show()

Both my_data and degrees look like flat lists. My guess is csv_reader is returning something other than a flat list. What do you see when you print my_data?