[FIXED] plotting each columns in single subplot

Issue

I have a text file that contain 2048 rows and 256 columns, i want to plot only 10 columns of data in an subplot,

I tried

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


data=np.loadtxt("input_data.txt")
data=data[:,0:10]
print(data.shape)


nrows=5
ncols=10
fig, axs = plt.subplots(nrows,ncols, figsize=(13,10))
count = 0
for i in range(ncols):
    for j in range(nrows):
        axs[i,j].plot(data[count])
        count += 1
        print(count)        
plt.show()

But it doesnot plot the each column values, I hope experts may help me.Thanks.

Solution

I used random numbers to reproduce your problem.

data=np.random.randint(0,1,size = (2048,256))
data=data[:,0:10]
print(np.shape(data))

nrows=2
ncols=5
fig, axs = plt.subplots(nrows,ncols, figsize=(13,10))
count = 0
for i in range(nrows):
    for j in range(ncols):
        print(count)
        axs[i,j].plot(data[:,count])
        count += 1

Here is your plot.

if you put real data you will see some variation in each subplot.

Answered By - Prakhar Sharma