Colleges make you learn matlab because of boomer professors, and when you start doing data analysis in python you want an easy way to make graphs. Matplotlib.pyplot justwerks
>What do you not like about it?
terrible, bloated, inconsistent design
even the pyplot interface, which tries to copy matlab's bullshit, somehow makes it even worse.
>data analysis >python >matplotlib
Most companies use Power Bi and shit like that. And when they use Python, they use Dash Plotly (very rarely Pandas).
It's accepted since it was a tool to make quick and easy visuals on the fly. The best visuals are the ones you pay for as extra addon in a dashboard environment like power bi
I dunno it werks for me although I haven't used anything else extensively. It can be janky but it's never failed to do what I want after some googling. Plottin' ain't easy nigga
Colleges make you learn matlab because of boomer professors, and when you start doing data analysis in python you want an easy way to make graphs. Matplotlib.pyplot justwerks
What do you not like about it?
For me? it has to be gnuplot
matlab makes nicer looking plots by default imo, pyplot makes cartoonish plots.
>what I do not like about it
obtuse documentation and retarded two non-compatible APIs. Also extremly verbose
ggplot
they could go and make something "pythonic" but they made a shitlab copy. It worked for them I guess since everyone uses, but it is clunky as shit.
>What do you not like about it?
terrible, bloated, inconsistent design
even the pyplot interface, which tries to copy matlab's bullshit, somehow makes it even worse.
>data analysis
>python
>matplotlib
Most companies use Power Bi and shit like that. And when they use Python, they use Dash Plotly (very rarely Pandas).
>Most companies use Power Bi
lmao no
they use matlab
Tableau > Power BI
>very rarely Pandas
lmfao
no
As opposed to what? Plotly, seaborn? They are even worse
Seaborn is just a marplotlib wrapper, which is completely fine though
Because you got filtered by it? Use seaborn if its too hard
use wolfram language
What should I use then?
It's accepted since it was a tool to make quick and easy visuals on the fly. The best visuals are the ones you pay for as extra addon in a dashboard environment like power bi
same reason pandas is everywhere
Pandas is only in China, dummy.
just use R. It is intended for "scientists" who barely know how to program
That's why Julia is better
It's like R but for people who know hot to program
R is for R tards
I haven't had to make graphs in years, but I loved matplotlib back then. It just werks.
I dunno it werks for me although I haven't used anything else extensively. It can be janky but it's never failed to do what I want after some googling. Plottin' ain't easy nigga
2023 and python still doesn't have anything close to ggplot. R chads just keep winning.
Python and C will be the demise of human civilization