ipython

问题 I wanted to do some plots based on imported csv files from a chemical analysis. So I import as follows: In [91]: df = pd.read_csv('/file_location/Untitled 1.csv', delimiter = '\;', index_col = 'IR') df Out[91]: Sample 1 Sample 2 IR 300 1 0 400 5 4 500 6 0 600 0 8 4 rows × 2 columns In [98]: df.plot() Fine looks good. By convention this type of data i plotted with the x axis in descending order. Highest number to the right (do not ask me why). So i reorder the index-col: In [97]: df2 = df.sort

问题 Use import ipdb; ipdb.set_trace() to insert breakpoint. Color is fine when first hit the breakpoint, but it shows color code instead of true color when hit the BP the second time (by press c ) and so on. ←[1;32m 72 ←[1;33m ←[1;32mimport←[0m ←[0mipdb←[0m←[1;33m;←[0m ←[0mipdb←[0m←[1;33m.←[0m←[0mset_trace←[0m←[1;33m(←[0m←[1;33m)←[0m ←[1;31m# XXX BREAKPO INT←[0m←[1;33m←[0m←[0m It is in windows 7, python 2.7 and 2.6 have the same issue. I think one work around method is using nocolor scheme (how

问题 I uninstalled Anaconda 2.3 with Python 3.4.3 and then installed the same Anaconda version with Python 2.7.10. When I open a notebook via $ ipython notebook "Example Notebook.ipynb" it tries to use the python3 kernel as opposed to opening with the installed python2. Of course I get the error python3 kernel not found . How can I get ipython notebooks to open with the python2 kernel? I've tried to uninstall ipython and ipython notebook, then delete .ipython and .jupyter from my user directory in

问题 I installed ipython in a virtual env (1.13 with 2.7.2) and tried ipython -gui=gtk but still got the basic terminal interface with no %paste support for example. Now I tried installing pygtk but no success there either. I'm running Crunchbang linux with OpenBox WM. [TerminalIPythonApp] GUI event loop or pylab initialization failed --------------------------------------------------------------------------- ImportError Traceback (most recent call last) ...python2.7/local/lib/python2.7/site

问题 I'd like to know why the copy-pasted example from the Iphython.display Geojson won't import in Jupyter notebook. from IPython.display import GeoJSON GeoJSON(data={ "type": "Feature", "geometry": { "type": "Point", "coordinates": [-81.327, 296.038] } }, url_template="http://s3-eu-west-1.amazonaws.com/whereonmars.cartodb.net/{basemap_id}/{z}/{x}/{y}.png", layer_options={ "basemap_id": "celestia_mars-shaded-16k_global", "attribution" : "Celestia/praesepe", "minZoom" : 0, "maxZoom" : 18, }) The

问题 Is there a way to specify Pandas and NumPy display width on startup of an IPython shell. For example, # Run this at startup import numpy as np np.set_printoptions(linewidth=200) import pandas as pd pd.options.display.width = 200 回答1: For Windows, for me, I have a startup directory: 'C:\Users\username\.ipython\profile_default\startup' In this I create a file: '00-script.py` Files in this directory will be run in alphabetical order by name. I put '00' in front to ensure it gets run first. In

问题 I want to put together an IPython notebook with some shell commands and their input. In the bash prompt I can use "here-document" syntax: bash-3.2$ mysql -u root <<END_IPUT > use mydb; > show tables; > END_INPUT How do I get the same effect in IPython, and specifically in a jupyter notebook? I know how to execute shell commands as IPython as "line magics" or "cell magics", e.g.: In [7]: !! ls -tF Out[7]: ['Demo-notebook.ipynb', 'createdb.sql', ... I've looked at IPython as a system shell,

问题 My IPython shell becomes sluggish after I instantiate a QApplication object. For example, even from a fresh start, the following code will make my shell sluggish enough where I have to restart it. from PyQt4 import QtGui app = QtGui.QApplication([]) As soon as that is submitted, my typing becomes lagged by 2 or 3 seconds. My computer is not fantastic, but I still have plenty of available memory, and it's only the python shell that seems to be affected. I've tried both the default python

问题 That's a small story... I had this error: AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for' When changed tasks.py, like Diederik said at Celery with RabbitMQ: AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for' app = Celery('tasks', backend='rpc://', broker='amqp://guest@localhost//') ran it >>> from tasks import add >>> result = add.delay(4,50) >>> result.ready() got DisabledBackend again ... hmm what was that.. put code to file run.py

问题 Hello I have xlsx files and merged them into one dataframe by using pandas. It worked but instead of getting back the column names that I had in the xlsx file I got numbers as columns instead and the column titles became a row: Like this: Output: 1 2 3 COLTITLE1 COLTITLE2 COLTITLE3 When they should be like this: Output: COLTITLE1 COLTITLE2 COLTITLE3 The column titles are not column titles but rather they have become a row. How can I get back the rightful column names that I had within the