Use numpy’s array_split(): import numpy as np import pandas as pd data = pd.DataFrame(np.random.rand(10, 3)) for chunk in np.array_split(data, 5): assert len(chunk) == len(data) / 5, “This assert may fail for the last chunk if data lenght isn’t divisible by 5”
Note that –pylab is deprecated and has been removed from newer builds of IPython, The recommended way to enable inline plotting in the IPython Notebook is now to run: %matplotlib inline import matplotlib.pyplot as plt See this post from the ipython-dev mailing list for more details.
have you tried the display command? from IPython.display import display display(salaries.head()) display(teams.head())
Change the backend to automatic: Tools > preferences > IPython console > Graphics > Graphics backend > Backend: Automatic Then close and open Spyder.
You can press I twice to interrupt the kernel. This only works if you’re in Command mode. If not already enabled, press Esc to enable it.
Use the IPython.display module: %matplotlib inline import time import pylab as pl from IPython import display for i in range(10): pl.plot(pl.randn(100)) display.clear_output(wait=True) display.display(pl.gcf()) time.sleep(1.0)
In case someone’s wandering in here recently, IPython 5.0 switched from readline to prompt_toolkit, so an updated answer to this question is to pass an option: $ ipython –TerminalInteractiveShell.editing_mode=vi … or to set it globally in the profile configuration (~/.ipython/profile_default/ipython_config.py; create it with ipython profile create if you don’t have it) with: c.TerminalInteractiveShell.editing_mode=”vi”
You can also call the show() function after each plot. e.g plt.plot(a) plt.show() plt.plot(b) plt.show()
To make it work, I installed latex, typical latex extra, and pandoc. With ubuntu: sudo apt-get install texlive texlive-latex-extra pandoc it takes some times: several 100 Mb to download. I read somewhere that you can use –no-install-recommends for texlive and extra to reduce to the dl.
Jupyter creates a checkpoint file every single time you create an .ipynb file, and then it updates the checkpoint file every single time you manually save your progress for the initial .ipynb. A manual save is what’s done when the file is saved by clicking the Save and Checkpoint button: Auto-saving, on the other hand, … Read more