ipython

问题 I installed Spark, ran the sbt assembly, and can open bin/pyspark with no problem. However, I am running into problems loading the pyspark module into ipython. I'm getting the following error: In [1]: import pyspark --------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-1-c15ae3402d12> in <module>() ----> 1 import pyspark /usr/local/spark/python/pyspark/__init__.py in <module>() 61 62 from pyspark.conf import

问题 I try to customize behavior of sys.excepthook as described by the recipe. in ipython: :import pdb, sys, traceback :def info(type, value, tb): : traceback.print_exception(type, value, tb) : pdb.pm() :sys.excepthook = info :-- >>> x[10] = 5 ------------------------------------------------- Traceback (most recent call last): File "<ipython console>", line 1, in <module> NameError: name 'x' is not defined >>> pdb.pm() is not being called. It seems that sys.excepthook = info doesn't work in my

问题 I try to customize behavior of sys.excepthook as described by the recipe. in ipython: :import pdb, sys, traceback :def info(type, value, tb): : traceback.print_exception(type, value, tb) : pdb.pm() :sys.excepthook = info :-- >>> x[10] = 5 ------------------------------------------------- Traceback (most recent call last): File "<ipython console>", line 1, in <module> NameError: name 'x' is not defined >>> pdb.pm() is not being called. It seems that sys.excepthook = info doesn't work in my

问题 I am plotting a NumPy array of values, I , using IPython notebook in %matplotlib inline mode with the plot command plt.plot(I,'o') . The resulting output is: <matplotlib.figure.Figure at 0x119e6ead0> Out[159]: [<matplotlib.lines.Line2D at 0x11ac57090>, <matplotlib.lines.Line2D at 0x11ac57310>, <matplotlib.lines.Line2D at 0x11ac57510>, <matplotlib.lines.Line2D at 0x11ac57690>, <matplotlib.lines.Line2D at 0x11ac57810>, <matplotlib.lines.Line2D at 0x11ac57990>, <matplotlib.lines.Line2D at

问题 How can I format IPython html display of pandas dataframes so that numbers are right justified numbers have commas as thousands separator large floats have no decimal places I understand that numpy has the facility of set_printoptions where I can do: int_frmt:lambda x : '{:,}'.format(x) np.set_printoptions(formatter={'int_kind':int_frmt}) and similarly for other data types. But IPython does not pick up these formatting options when displaying dataframes in html. I still need to have pd.set

问题 Environment: Python 2.7, matplotlib 1.3, IPython notebook 1.1, linux, chrome. The code is in one single input cell, using --pylab=inline I want to use IPython notebook and pandas to consume a stream and dynamically update a plot every 5 seconds. When I just use print statement to print the data in text format, it works perfectly fine: the output cell just keeps printing data and adding new rows. But when I try to plot the data (and then update it in a loop), the plot never show up in the

问题 While developing a largeish project (split in several files and folders) in Python with IPython, I run into the trouble of cached imported modules. The problem is that instructions import module only reads the module once, even if that module has changed! So each time I change something in my package, I have to quit and restart IPython. Painful. Is there any way to properly force reloading some modules? Or, better, to somehow prevent Python from caching them? I tried several approaches, but

问题 I want to read a .xlsx file using the Pandas Library of python and port the data to a postgreSQL table. All I could do up until now is: import pandas as pd data = pd.ExcelFile("*File Name*") Now I know that the step got executed successfully, but I want to know how i can parse the excel file that has been read so that I can understand how the data in the excel maps to the data in the variable data. I learnt that data is a Dataframe object if I'm not wrong. So How do i parse this dataframe

问题 I would line to apply a few simple changes to the appearance of my IPython/IHaskell/Jupyter Notebooks, such as rendered_html :link { text-decoration: none; } but I can't figure out how to do this. I've tried many of the solutions I've found by searching, e.g., placing CSS in ~/.ipython/profile_default/static/css/custom.css but none have any effect, and I suspect that given the recent changes to the Notebook architecture, the method for accomplishing this has changed and that the instructions

问题 I want to view an image in Jupyter notebook. It's a 9.9MB .png file. from IPython.display import Image Image(filename='path_to_image/image.png') I get the below error: IOPub data rate exceeded. The notebook server will temporarily stop sending output to the client in order to avoid crashing it. A bit surprising and reported elsewhere. Is this expected and is there a simple solution? (Error msg suggests changing limit in --NotebookApp.iopub_data_rate_limit .) 回答1: I ran into this using