jupyter-notebook

问题 I have already installed quandl library at command prompt using command: pip3 install quandl And I am able to use various quandl methods. But in my Jupyter Notebook, when I do "import quandl", it says: No module named 'quandl' I have restarted Jupyter notebook, even then the same results. Other modules like Numpy, Pandas, Matplotlib work fine for me at the command-prompt and also in Jupyter Notebooks. I have already gone through other posts mentioning the same issue, but all of them just

问题 an animation example from this plotly tutorial is not working with Plotly 2.0.12. I put the error output below. Is there any way to solve the problem? I am using plotly on a Jupyter Notebook. PlotlyError: Invalid 'figure_or_data' argument. Plotly will not be able to properly parse the resulting JSON. If you want to send this 'figure_or_data' to Plotly anyway (not recommended), you can set 'validate=False' as a plot option. Here's why you're seeing this error: 'slider' is not allowed in

问题 In python 3 , there have been answers about how to replace an existing output with another. These answers suggest the use of end='\r' ad in print('hello', end='\r') This is working ofcourse, but it works only for one line . In the program that I post below, I first output 5 lines which is the representation of a table matrix. The user is asked to type one number (1-3) and then the matrix is printed again with an 'X' in the position that the user indicated. But as you can see, the matrix is

问题 When working with matplotlib, a common pattern for me is to figure in a function, return it, and let the caller decide what t do with it (render to screen, save to file etc...). In jupyter notebook, I want to call such a function in a loop, and make sure that figure output is in order. In this answer https://stackoverflow.com/a/53450873/4050510 , we learn that plt.show() can help us with randering images. A rewrite of that answer is: # cell 1 %matplotlib inline import matplotlib.pyplot as plt

问题 So I am planning to do some data analysis using a Jupyter notbook (Python 3), for collaborative reasons I want to store the data on a github repo, however the data set is sensitive. As such I would like to store the data (currently .csv) as an encrypted file on the repo and then decrypt it at runtime (with a password prompt I guess). What is the best method to do this? 回答1: In the end, I used python 3.6 and SimpleCrypt to encrypt the file and then uploaded it. I think this is the code I used

问题 I want to add some css to part of my plot, (specifically, I want to set float:left ). How can I produce the plot within a div, so I can use css to control its layout? For example, for code def simple_plot(ax = None): if ax is None: fig, ax = plt.subplots() a = [1,2,3,4] b = [3,4,5,6] plt.plot(a, b,'-', color='black') simple_plot() The default output html in Ipython Notebook is <div class="output_area"> <div class="prompt"></div> <div class="output_subarea output_png"> <img src="data:image/png

问题 I am accessing jupyterhub notebook through browser as it is running on a remote server(using nginx so that jupyterhub is accessible to client machines).When I access the notebook a kernel error is shown at the top of the screen. Jupyterhub and jupyter notebook is running on a kubernetes cluster and the jupyter notebook is a custom built docker image suitable for python programming. I am very new into python/jupyter hub/notebook, please suggest how to resolve the kernel error. 回答1: Please

问题 I have subplots in an ipython notebook. I can zoom in inline using the mpld3 module. However, right now I can only zoom into a rectangle. Due to my application's nature I need horizontal zoom. Is there a way to zoom horizontally (using your cursor) in matplotlib? Better yet can I set the zoom to be horizontal via code without any keyboard manipulation? In Matlab, I can do this by setting: figure(1); h=zoom; set(h,'Motion','horizontal','Enable','on'); Here is a minimal example in python:

问题 I try to concatenate three images vertically and I need some assistance with the code/function. So far I imported one image and cropped 3 smaller images with the same size. Now I want to concatenate them in one image that will be long, but narrow. However, I can't find an appropriate function or even if I find one I get an error message when I apply it to my code. I already tried to make a collection from my three pictures and then use the function skimage.io.concatenate_images(sf_collection)

问题 I use several different machines regularly, so I typically have some notebook setting that I include with my import statements to avoid having to change configuration files all the time: from IPython.core.display import display, HTML display(HTML("<style>.container { width:100% !important; }</style>")) pd.set_option('display.max_colwidth', -1) pd.set_option('display.max_rows', 500) pd.set_option('display.max_columns', 500) pd.options.mode.chained_assignment = None Now, I have encountered the