[FIXED] How to print matplotlib histogram coef logistic regression?

Issue

I'm learning deep learning and I would like to print this histogram with matplotlib:

from this code who print the data :

lr = LogisticRegression()
lr.fit(X, y)
print(lr.coef_)

who prints :

[[-0.150896    0.23357229  0.00669907  0.3730938   0.100852   -0.85258357]]

edit: I tried the basic hist but I don't understand the output :

plt.hist(lr.coef_) plt.show()

but i got :

Solution

As mentioned in the documentation (".. Compute and draw the histogram of .."), pl.hist bot calculates and plots a histogram from the raw data. For example:

import matplotlib.pylab as pl
import numpy as np

# Dummy data
data = np.random.normal(size=1000)

pl.figure()
pl.subplot(121)
pl.hist(data)

What you want is the pl.bar function:

# Your data
data = np.array([-0.150896, 0.23357229, 0.00669907, 0.3730938, 0.100852, -0.85258357])
labels = ['as','df','as','df','as','df']

ax=pl.subplot(122)
pl.bar(np.arange(data.size), data)
ax.set_xticks(np.arange(data.size))
ax.set_xticklabels(labels)

Combined this produces:

Answered By - Bart