CSV plot with lowpassfilter.

csv_plot_with_lowpassfilter.py

import pandas as pd
import matplotlib.pyplot as plt

def lowpass(values, strength):
    result = []
    f = 0
    for v in values:
        if not result:
            result.append(v)
            f = v
        else:
            f = ((1 - strength) * f) + (strength * v)
            result.append(f)
    return result

df = pd.read_csv('file.csv', names=['x', 'y'])
t = []
for v in df['x']:
    t.append(v - df['x'][0])

plt.xlabel("x")
plt.ylabel("y")
plt.plot(t, df['y'], label='Raw')
plt.plot(t, lowpass(df['y'], 0.1), label='a=0.1')
plt.legend()
plt.show()