Plotting 128Hz timeseries crashes · Issue #20575 · pandas-dev/pandas (original) (raw)

Code Sample

import numpy as np import pandas as pd

start = 0 freq = 128 samples = freq * 10 # 10 seconds data = np.random.random(samples) index = pd.date_range(start, periods=samples, freq='{}S'.format(1/freq)) ts = pd.Series(data=data, index=index, name='High freq') ts.plot()

Problem description

Plotting a 10 second, 128Hz timeseries uses up all my RAM then crashes. 100Hz works fine, 128/150Hz (6666666N) crashes.

screen shot 2018-04-02 at 1 43 25 pm

Expected Output

Ideally, a plot of my data. I wouldn't expect plotting 1280 points to require > 100GB of RAM! 😄

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.4.final.0 python-bits: 64 OS: Darwin OS-release: 17.4.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.22.0
pytest: None
pip: 9.0.3
setuptools: 39.0.1
Cython: None
numpy: 1.14.0
scipy: 1.0.1
pyarrow: None
xarray: None
IPython: 6.2.1
matplotlib: 2.2.2