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Welcome to Software Development on Codidact!

Will you help us build our independent community of developers helping developers? We're small and trying to grow. We welcome questions about all aspects of software development, from design to code to QA and more. Got questions? Got answers? Got code you'd like someone to review? Please join us.

Posts by mcp‭

10 posts
75%
+4 −0
Q&A How to configure .gitignore to ignore all files except a certain directory

MWE In the terminal run: mkdir mwe cd mwe mkdir dir touch f1.txt f2.pdf dir/f1.txt dir/f2.pdf git init . Create a .gitignore with: * # ignore all !dir/ # except this directory ...

1 answer  ·  posted 2y ago by mcp‭  ·  last activity 2y ago by Moshi‭

Question git gitignore
75%
+7 −1
Q&A How can I provide additional information when raising an exception?

Suppose I have some code like: filename = "bad_dir" print(f"File not found: {filename}.") raise(FileNotFoundError) When the exception isn't caught, the stack trace is printed at the end of ...

2 answers  ·  posted 1y ago by mcp‭  ·  edited 3mo ago by Karl Knechtel‭

Question python exception
71%
+3 −0
Q&A How to add vertical lines for visual separation in pandas plot

MWE import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd']) df.plot.bar() plt.show() Question Ho...

2 answers  ·  posted 2y ago by mcp‭  ·  last activity 2y ago by samcarter‭

71%
+3 −0
Q&A How to compress columns of dataframe by function

Problem How can I compress each column of a dataframe to the output of a function (i.e., mean), preserving columns? MWE import pandas as pd data = {"A": [1, 2, 3, 4], "B": [5, 6, 7, 8]} ...

2 answers  ·  posted 1y ago by mcp‭  ·  last activity 9mo ago by mr Tsjolder‭

Question python pandas
66%
+2 −0
Q&A How to plot table from pandas dataframe

MWE import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.DataFrame(np.random.rand(9, 4), columns=['a', 'b', 'c', 'd']) df.plot.bar(table=True) # don't want plot, ...

1 answer  ·  posted 2y ago by mcp‭  ·  last activity 1y ago by __blackjack__‭

66%
+2 −0
Q&A Remove entries by two-column ID everywhere, that meet a condition somewhere

MWE import random import pandas as pd from itertools import product random.seed(12345) dies = [1, 2] cells = list(range(10)) currents = [100, 200, 300] dcc = list(product(dies, ce...

3 answers  ·  posted 1y ago by mcp‭  ·  edited 7mo ago by mcp‭

60%
+1 −0
Q&A Remove entries by two-column ID everywhere, that meet a condition somewhere

Answer After re-encountering this problem and searching for a solution with a less generic "pandas check if column pair is found in other df" (forgetting I had previously encountered this proble...

posted 10mo ago by mcp‭  ·  edited 10mo ago by mcp‭

Answer
57%
+2 −1
Q&A Can pandas be used as a database backend for persistent storage?

Question What is the current state of the art database app? How does it compare to SQL? Can pandas be used in place of either? If not, is there something that bridges the gap between SQL and pand...

2 answers  ·  posted 10mo ago by mcp‭  ·  last activity 10mo ago by matthewsnyder‭

55%
+3 −2
Meta How can we grow this community?

A note on first impressions: I really like that popup windows like when you click "react" are closed by clicking "react" again, not just anywhere else on the screen. This makes the site feel sol...

posted 2y ago by mcp‭  ·  edited 1y ago by mcp‭

Answer
28%
+0 −3
Q&A Built-in way to compute coefficient of variation in pandas

Background The coefficient of variation is: defined as the ratio of the standard deviation to the mean Question Is there a built-in function for this? Tried I know I can do df.std() / df...

1 answer  ·  posted 1y ago by mcp‭  ·  last activity 1y ago by cuzzo‭

Question python pandas