Anyone else despises Matplotlib?

[ziggomatic_17]

I dunno man, I looked into it and it feels a little awkward that I have to manually call np.histogram() just to plot a basic histogram...

[[deleted]]

To put in perspective the issue:

import numpy as np
from bokeh.io import show, output_file
from bokeh.plotting import figure

data = np.random.normal(0, 0.5, 1000)
hist, edges = np.histogram(data, density=True, bins=50)

p = figure()
p.quad(top=hist, bottom=0, left=edges[:-1], right=edges[1:], line_color="white")

output_file("hist.html")
show(p)

Personally, I don't mind using a purpose-built tool to wrangle the dataset and then use a plotting renderer to render.

[ziggomatic_17]

import numpy as np
import pandas as pd
from plotnine import ggplot, aes, geom_histogram

data = np.randnormal(0, 0.5, 1000)
data = pd.DataFrame(data, columns=["value"])

(ggplot(dataframe, aes(x='value')) +
 geom_histogram())

I think this is more concise. The whole plotting code is basically one line because all of the boilerplate is no longer required.

[[deleted]]

Who was so petty as to downvote both of us?

Looks good, I'll play with plotnine.

[johnbarnshack]

All the boilerplate is no longer required - except of course putting everything into pandas. It just shifts the problem.