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You can try via groupby()+agg()+fillna():

• Direct use of seaborn.FacetGrid is deprecate. In this case it's better to use seaborn.displot, which is a figure-level plot.

• Iterate through the column names for df1_sample, and use the column name to get df1_Sample[col] and df1_Control[col], which assumes both dataframes have the same column names, as shown in the OP.

  • Use for c1, c2 in zip(df1_Sample.columns[:-1], df1_Control.columns[:-1]): with df1_Sample[c1] and df1_Control[c2] if the column names are not the same, however the columns of both dataframes need to be ordered.

• Tested in python 3.8.11, pandas 1.3.2, matplotlib 3.4.3, seaborn 0.11.2

• For each column pair, to plot the histogram for each compound separately, it will be easier to combine the data into a long dataframe, and then plot with seaborn.displot.

I thought MATLAB's imfindcircles might be useful here. It overcounts #14, but seems to do better than what you have right now.

Since you are new in python, the first procedure is understand your dataset. For this multidimentional array 2656 is the number of records in the array (2656 mesurements). 256 and 256 Are two dimensions to draw the image (like numerical values for pixels in some squared picture). And the last dimension: 6, defines nuclei classification: Epithelial, Inflam, Malignat, Necrotic, Str, Non-nuclei.

There is more than one way to have the insights for this dataset (numerical and graphical), to learn how to deal with biomedical images you could try this: https://learn.datacamp.com/courses/biomedical-image-analysis-in-python

Let's say you want to remove all rows with 'Cell-Size' below zero. This will do that:

You can create a custom legend from rectangular patches. The colors for the mesh can be set via LinearSegmentedColormap.from_list().

Python buffers stdin, stdout, and stderr by default. print() writes to stdout by default, so you will see this buffered behavior.

From https://stackoverflow.com/a/14258511/5666087 :

Python opens the stdin, -out and -error streams in a buffered mode; it'll read or write in larger chunks, keeping data in memory until a threshold is reached.

You can forcibly flush this buffer by passing flush=True to print. See the documentation for more information. If you have multiple print statements in a row, you need only use flush=True in the last one.

Here is a script to clean the column. Note you may want to add more words to the stopword set to meet your requirements.

Axiom: Everything is difficult until you understand it.

Our first need is to understand how this works. In PHP, private/protected means they will not be available outside the object's scope. Twig tries to access them from outside the object scope, which causes the problem.

In other words: What your Twig attempts to use is not available to it.

Yet, I'm sure you have seen Twig seemingly using private/protected members, so your empiric evidence seemingly contradicts to the theory I have outlined. But only seemingly. You understand what the problem is, but at this point you don't yet understand how those keywords can be used.

The documentation is clear about it, when it explains that when foo.bar is being used, if bar is not a member of foo, then it eventually checks for foo.getBar(), a getter. So, you will need to implement getStatistiche and operate similarly for its members. I did not use Twig for a while, but if memory serves me well, for totale_conferimenti you will need getTotaleConferimenti.

EDIT (Jakumi's helpful comment):

you're about 90% right. Symfony usually assumes camel case and in that case your assumed getter name would be correct. the error message states the expected getter name though. also additional handy information: dump's output has a - prepended to every private/inaccessible property and + prepended for every public property. The diagnosis however is a 100% correct, missing getter for an "inaccessible" property and no possible fallback.