In [38]:

    

import csv
import matplotlib.pylab as plt

fileName = "formatted_data/no_movement_channel_%s.csv"

# plot data
"""
channels 0 and 1: right motor cortex
channels 2 and 3: left motor cortex
"""

for i in range(0,4):
    with open(fileName % i, 'rb') as csvFile:
        csvReader = csv.reader(csvFile)
        # skip and keep the first 3 header lines for later
        header = csvReader.next()
        unit = csvReader.next()
        stuff = csvReader.next()

        # format data for smoothing
        t = []
        x = []
        timestamp = 0
        for row in csvReader:
            x.append(float(row[0]))
            t.append(timestamp)
            timestamp +=1
        plt.figure(figsize=(20,5))
        plt.title("channel_%s" % i)
        plt.plot(t,x)

plt.legend()
plt.show()


    

In [4]:

    

import pandas as pd


    

In [41]:

    

for i in range(0,4):
    raw_df = pd.read_csv(fileName % i)
    df = pd.DataFrame([float(data) for data in raw_df['channel_value'][2:6000]])
    df.plot(title="channel_%s" % i, figsize=(20,5))


    

In [ ]: