continuum | Blazing Fast Time Series Database for ad-hoc queries | Time Series Database library

I am trying to install conda on EMR and below is my bootstrap script, it looks like conda is getting installed but it is not getting added to environment variable. When I manually update the $PATH variable on EMR master node, it can identify conda. I want to use conda on Zeppelin.

I also tried adding condig into configuration like below while launching my EMR instance however I still get the below mentioned error.

I'm trying to communicate with an OPC DA server and need to write in a tag which is in an array format. We can connect with a simulation server, read tags (int, real, array) and write tags (int, real, str). The problem comes when we need to write in an array tag. The developper of the OpenOPC library (Barry Barnreiter) recommand to use a VARIANT variable because OPC "expect to see a Windows VARIANT structure when writing complex objects such as arrays".

• I did install Pywin32 (build 217) as suggested here.
• I tried to send a simple integer instead of an array in a VARIANT structure.

Here's the code:

I read the publication entitled "IMPROVED TRAINABLE CALIBRATION METHOD FOR NEURAL NETWORKS ON MEDICAL IMAGING CLASSIFICATION" available at https://arxiv.org/pdf/2009.04057.pdf. In this study, they have proposed a custom loss function that incorporates calibration into the model training process. They included the calibration component to the categorical cross entropy loss to create this custom function. I have created a Keras version of this function as shown below:

I'm trying to create a map of my data in R. When the map is created, no outlines show and the fill of the points isn't showing either. The map of Virginia is made using Rs map_data function. When the map pulls up, it's just black with no county lines. I've tried changing the polygon "color" to "col" and "fill". No change. Additionally, the data points on the map are black as well- no color, despite my code. Is there there a mistake in my code?

Here is a sample of my dataset

Here's my code:

I'm trying to read a CSV file into Pandas from am SFTP server using Paramiko:

i have written a pre processing script in python that helps consolidating confidence. Below is my script:

I'm having an issue where when I install the requests package on a fresh anaconda install (onto an environment), it breaks my anaconda in a way where I cannot download any further packages due to an HTTP error.

The process I've gone through a number of times now is:

1. Uninstall anaconda (using anaconda-clean and add/remove programs)
2. Re-install anaconda
3. Run conda update conda on my base environment
4. Run conda create -n auckland-index python=3.7 to create a new environment
5. I install pandas with conda install pandas to make sure I can download packages in the new environment
6. I then run conda install requests to install requests, which downloads and installs successfully
7. Then when I try to install any other packages I get the below CondaHTTPError across both base and new environments

Hi im new to python and trying to understand how to read various types of files

I am trying to loop through a file but not sure I am using the correct extension and dont see any documentation about the same in pandas

i tried-

I would like to use a Spanish household survey from Instituto Nacional de Estadística (INE) for a research project. The data comes in a text file, where the answers of the survey are stuck in a continuum of numbers, with an auxiliary file that tells you from digit 1 to 5 it corresponds to variable, from 6 to 8 to variable 2, etc. This file is also a text file.

Is there a way making use of this auxiliary file in the import of the data instead of manually telling R, Stata, etc how to delimit the columns?

The auxiliary file looks like this:

Where the first columns is the variable name, the second column the number of digits the variable has and in the third column which position is the variable situated in the data text file, which looks like this: