-
-
Save H4kor/d3f619ab974d74dfb85fcdd816877a13 to your computer and use it in GitHub Desktop.
Full Code Plotting Examples
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import numpy as np | |
import scipy.stats | |
import matplotlib.pyplot as plt | |
N = 100 | |
q1 = np.random.choice(7, N, p=[0.5, 0.3, 0.1, 0.05, 0.05, 0, 0]) + 1 # Mostly at 1 | |
q2 = np.random.choice(7, N, p=[0, 0, 0, 0.1, 0.2, 0.2, 0.5]) + 1 # Mostly at 7 | |
q3 = np.random.choice(7, N, p=[0, 0.1, 0.2, 0.4, 0.2, 0.1, 0]) + 1 # Around center | |
q4 = np.random.choice(7, N, p=[1/7]*7) + 1 # Uniform | |
q5 = np.random.choice(7, N, p=[0.4, 0.1, 0, 0, 0, 0.1, 0.4]) + 1 # At extrema | |
data = np.array([q1, q2, q3, q4, q5]) | |
print(data.shape) | |
index = np.arange(1, 6) | |
x_labels = ["Q1", "Q2", "Q3", "Q4", "Q5"] | |
y = [np.mean(q1), np.mean(q2), np.mean(q3), np.mean(q4), np.mean(q5)] | |
y_sem = [scipy.stats.sem(q1), scipy.stats.sem(q2), scipy.stats.sem(q3), scipy.stats.sem(q4), scipy.stats.sem(q5)] | |
y_std = [np.std(q1), np.std(q2), np.std(q3), np.std(q4), np.std(q5)] | |
colors = [u'#1f77b4', u'#ff7f0e', u'#2ca02c', u'#d62728', u'#9467bd', u'#8c564b', u'#e377c2', u'#7f7f7f', u'#bcbd22', u'#17becf'] | |
fig, ax = plt.subplots() | |
ax.bar(index, y, color=colors) | |
ax.set_title('Mean of Answers') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/mean.png") | |
plt.close() | |
fig, ax = plt.subplots() | |
ax.bar(index, y, yerr=y_std, color=colors) | |
ax.set_title('Mean+Std of Answers') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/mean_std.png") | |
plt.close() | |
fig, ax = plt.subplots() | |
vps = ax.violinplot([q1, q2, q3, q4, q5]) | |
vps["cbars"].set_color("grey") | |
vps["cmins"].set_color("grey") | |
vps["cmaxes"].set_color("grey") | |
for i, vp in enumerate(vps["bodies"]): | |
vp.set_facecolor(colors[i]) | |
vp.set_edgecolor(colors[i]) | |
vp.set_color(colors[i]) | |
ax.set_title('Violinplot') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/violin.png") | |
plt.close() | |
fig, ax = plt.subplots() | |
ax.boxplot([q1, q2, q3, q4, q5]) | |
ax.set_title('Boxplot') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/boxplot.png") | |
plt.close() | |
fig, ax = plt.subplots() | |
scatter_x = [] | |
scatter_y = [] | |
scatter_c = [] | |
for x, d in enumerate(data): | |
for y in d: | |
scatter_x.append(x + 1 + np.random.normal(0, 0.075)) | |
scatter_y.append(y + np.random.normal(0, 0.075)) | |
scatter_c.append(colors[x]) | |
ax.scatter(scatter_x, scatter_y, s=16, color=scatter_c) | |
ax.set_title('Scattering') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/scatter.png") | |
plt.close() | |
fig, ax = plt.subplots() | |
scatter_x = [] | |
scatter_y = [] | |
scatter_s = [] | |
scatter_c = [] | |
for x in range(1, 6): | |
for y in range(1, 8): | |
scatter_x.append(x) | |
scatter_y.append(y) | |
scatter_s.append(len([1 for s in data[x-1] if s == y])/len(data[x-1])*1024) | |
scatter_c.append(colors[x-1]) | |
ax.scatter(scatter_x, scatter_y, s=scatter_s, color=scatter_c) | |
ax.set_title('Scaled Dots') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/scaled_dots.png") | |
plt.close() | |
fig, ax = plt.subplots() | |
for i, d in enumerate(data): | |
i += 1 | |
w = [] | |
for k in range(1,8): | |
w.append(len([1 for s in d if s == k])/len(d)) | |
ax.barh(range(1,8), w, left=i-np.array(w)/2, height=1, align="center") | |
ax.set_title('Histograms') | |
ax.set_xticks(index) | |
ax.set_xticklabels(x_labels) | |
ax.set_ylabel('Scores') | |
ax.set_yticks(range(1,8)) | |
plt.savefig("lik/hists.png") | |
plt.close() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment