jupyter-notebook

I a new to Ipython. Currently i have installed Ipython using Anaconda and writing a code to plot chart using jupyter notebook UI. I want to pass few arguments to my working script with the help of argparse module. below is the code.. import argparse parser = argparse.ArgumentParser(description = 'Process display arguments') parser.add_argument('-t', "--test_name", help="Mandatory test name directory path", type=str) parser.add_argument('-s', "--symbolSet", nargs = '?', help="Optional symbolset", const = 'baz', default = 'deafultOne') args = parser.parse_args() if args.test_name is None: print(

I am having trouble displaying plots inside of Jupyter tab widgets. Consider the following snippet: import matplotlib.pyplot as plt import pandas as pd import ipywidgets as widgets import numpy as np out1 = widgets.Output() out2 = widgets.Output() data1 = pd.DataFrame(np.random.normal(size = 50)) data2 = pd.DataFrame(np.random.normal(size = 100)) with out1: fig1, axes1 = plt.subplots() data1.hist(ax = axes1) display(fig1) with out2: fig2, axes2 = plt.subplots() data2.hist(ax = axes2) display(fig2) tab = widgets.Tab(children = [out1, out2]) tab.set_title(0, 'First') tab.set_title(1, 'Second')

The %%time and %%timeit magics enable timing of a single cell in a Jupyter or iPython notebook. Is there similar functionality to turn timing on and off for every cell in a Jupyter notebook? This question is related but does not have an answer to the more general question posed of enabling a given magic automatically in every cell. A hacky way to do this is via a custom.js file (usually placed in ~/.jupyter/custom/custom.js ) The example of how to create buttons for the toolbar is located here and it's what I based this answer off of. It merely adds the string form of the magics you want to

What Julia functions can output a DataFrame so it is converted into text other than the ones shown below? using DataFrames A = DataFrame(randn(10, 7)); print("\n\n\n", "A = DataFrame(randn(10, 7))") print("\n\n\n","print(A)\n") print(A) print("\n\n\n","show(A)\n") show(A) print("\n\n\n","show(A, true)\n") show(A, true) print("\n\n\n","show(A, false)\n") show(A, false) print("\n\n\n","showall(A)\n") showall(A) print("\n\n\n","showall(A, true)\n") showall(A, true) print("\n\n\n","showall(A, false)\n") showall(A, false) print("\n\n\n","display(A)\n") display(A) Most of these output something

When running keras model inside Jupyter notebook with "verbose=1" option, I started getting not single line progress status updates as before, but a flood of status lines updated at batch. See attached picture. Restarting jupyter or the browser is not helping. Jupyter notebook server is: 5.6.0, keras is 2.2.2, Python is Python 3.6.5 Please help. cell content: history = model.fit(x=train_df_scaled, y=train_labels, batch_size=BATCH_SIZE, epochs=EPOCHS, verbose=1, validation_data=(validation_df_scaled, validation_labels), shuffle=True) output flood example: (it is thousands of lines like this)

It is easy to indent a whole line. Just highlight the whole line and press Tab Go to the start of the line and press Tab Click anywhere in the line and press Ctrl + ] Now the problem is how to insert indent in the middle of the line. And also, how to indent at the end of the line. Example usage scenario: # Hyperparameters LENGTH = 10 # length of foo TEMP = 20 # temperature of bar IV = 99.99 # induction variability of foo bar Concretely, we want: # Hyperparameters LENGTH = 10 # length of foo TEMP = 20 # temperature of bar IV = 99.99 # induction variability of foo bar Or even better (in some