I want to combine multiple grouped bar charts into one figure, as the image below shows. grouped bar charts in a single figure Firstly I created each grouped bar chart by plt.subplots() Then, I used add_subplot in an attempt to treat fig1 and fig2 as new axes in a new figure. But it didn’t work. How can I combined several
Tensorflow example works fine on colab, but gives nan while running on jupyter lab
After working with the tensorflow’s example tutorial on colab: Basic regression: Predict fuel efficiency, which can be found here: https://www.tensorflow.org/tutorials/keras/regression. I’ve been trying to run this example on jupyter notebook via anaconda in order to be able to run it offline too. The code that one can find on the link works fine on google colab, but when I try
Adding Sparkline to Pandas Dataframe
I would like to draw and append sparklines to my dataframe. I have worked through a bunch of examples which ended up running into Base64 encoded output. I was hoping to use a simple approach, perhaps using matplotlib. I need to visualise linecharts for each row, I am unsure whether a plt figure can be appended to a dataframe cell?
Why doesn’t parallel swapping work with variables in python?
But, when you assign them to a variable you get a different solution. My best guess is that it has something to do with were the variables are pointing to in memory. Answer I think the list is confusing you, so here is an equivalent example without a list: vs As I hope you can clearly see from the second
Obtaining n number highest values in dataframe also containing strings
I have a dataframe and I would like to find the n highest numbers in each column. There are a variety of methods to do this, but all seem to fail as a result of strings also being in the dataframe. I have tried a multitude of ways to get around this but I am always stumped by the presence
How to loop through elements from a python pandas dataframe to a new nested dictionary?
I am currently using pandas library to read data from a CSV file. The data includes a “data” column which consists of 1’s and 0’s, and a “published_at” column which has unique time and date stamps (I have converted it to become the index of the dataframe). Click here to see picture of the Dataframe from CSV (I deleted the
docker hub do you create a repository for every image
I am new to docker and docker hub. I am trying to understand the repository on docker hub. I have dockerized a django web app using nginx and gunicorn. My question is: Since this has multiple images within the container: would each image be a different repository on docker hub or would it be in the same repository, but with
Is it possible to pass an extra argument to lambda function in pandas read_csv
I am using the read_csv() function from pandas and the option for a lambda date_parser function quit often and I am wondering if it is possible to pass an argument to this labda function. This is a minimal example where I set the format_string: I do know, that pandas has a infer_datetime_format flag, but this is question is only looking
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all(). & [duplicate]
This question already has answers here: Python-pandas: the truth value of a series is ambiguous (2 answers) Closed 1 year ago. I have a dataframe ‘signal’: As I need some condition to set up my ‘_exec_dict’ which is a dictionary to tell the trading platform what my order is? The problem is I cannot use to do the condition determination.
How can I get a row in Sqlite3 table with Tkinter Listbox widget?
I have Python program connected to Sqlite3 database with Tkinter on the frontend. My database table (subjectlist) consists of four columns: [id (unique interger), subject (text), serial (unique interger), is_active (boolean interger)]. Here is my program: Currently at runtime when I click item on listbox (which basically shows all subject column values that have is_active=1 on the same row) and