I just started learning Django for my new Forum project, I’m trying to find it out myself but this problem has been bothering me since 2 days. I am trying to make a registration validation for my form, I am using messages.error(request, "Text") to make an error appear on screen, but it doesn’t work, and just shows nothing.
Does anyone have a simple way to change the size of the legend to make it larger or make the border bold? a-o are just random ints group_a = (a,b,c,d,e) group_b = (f,g,h,i,j) group_c = (k,l,m,n,o) width = 0.2 x = np.arange(5) plt.bar(x-0.2, group_a, width, color = ‘cyan’) plt.bar(x, group_b, width, color = ‘orange’) plt.bar(x+0.2, … Read more
I would appreciate your help on this scraping problem.
I am trying to use mplcursors when plotting data from multiple pandas DataFrames (or from multiple subsets of a single DataFrame).
I have read the answers of this question and this one, as well as this one, which is somewhat redundent with the first one.
I am able to adapt the code of the documentation on Extracting data and labels from a DataFrame to using seaborn with a single DataFrame, i.e. the following works fine:
I am new to Python. I want to create a dictionary.
Each key will have three values.
I have two ndarrays of size (m x n), and two lists of length m and n respectively. I want to convert the two matrices to a dataframe with four columns. The first two columns correspond to the m and n dimensions, and contain the values from the lists. The next two columns should contain the values from the two matrices. In total, the resulting dataframe should have m times n rows.
i’m a bloddy starter at programming python and don’t know, what i’m doing wrong. Im reading trough the documantaions from PiCamera and Schedule, but a combinded command is not working.
I am currently trying to merge a number of excel spreadsheets into one workbook to create a monthly master workbook.
I have a simple table with an int[] column and I would like to be able to select rows that do not contain a specified user. And I can’t figure out how to do it with SQLAlchemy. I could easily make a request in SQL: SELECT * FROM practices WHERE not (33 = any(id_user)) but have no idea how to do it using Practice.query.filter(...)
I’ve to write a function (column_means), that calculates the mean of each column from Dataframe and give me a list of means at the end. I’m not allowed to use the mean function .mean(), so I’m implementing the general formula of the mean: sum(x_i)/Number of elements.