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How to import r-packages in Python

I’m a bit troubled with a simple thing. I was trying to install a package called hunspell, but I discovered it is originally an R package. I installed this version: https://anaconda.org/conda-forge/r-hunspell, but I’m not being able to import it. Is this package supposed to work with Python? Should I use rpy2 to import it? First time using cross-platform packages so

Cleaning up data frame and date time

I am working with data frame. One of the columns contains date where the format of cell are mixed between date, time and string. The sample date frame is as follow: I want to create a new column that contains the text of date column. The expected output is as follows: How can I do that? Answer IIUC using to_datetime,

Are there disadvantages of using __slots__?

I’m using Python 3.7 and Django. I was reading about __slots__ . Evidently, __slots__ can be used to optimize memory allocation for a large number of those objects by listing all the object properties ahead of time. My perhaps obvious question is why wouldn’t we want to do this for all objects? Are there disadvantages for using __slots__? Answer Fluent

How to combine 2 dataframe histograms in 1 plot?

I would like to use a code that shows all histograms in a dataframe. That will be df.hist(bins=10). However, I would like to add another histograms which shows CDF df_hist=df.hist(cumulative=True,bins=100,density=1,histtype=”step”) I tried separating their matplotlib axes by using fig=plt.figure() and plt.subplot(211). But this df.hist is actually part of pandas function, not matplotlib function. I also tried setting axes and adding

Training a simple model in Tensorflow GPU slower than CPU

I have set up a simple linear regression problem in Tensorflow, and have created simple conda environments using Tensorflow CPU and GPU both in 1.13.1 (using CUDA 10.0 in the backend on an NVIDIA Quadro P600). However, it looks like the GPU environment always takes longer time than the CPU environment. The code I’m running is below. Here are some

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