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Slopegraphs in matplotlib
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# Slopegraphs in matplotlib | |
# Trey Causey (@treycausey) | |
# Problems arise when equal values occur | |
# within the same time unit | |
import matplotlib.pyplot as plt | |
import numpy as np | |
import pandas as pd | |
units = ['A', 'B', 'C', 'D'] | |
times = ['time1', 'time2', 'time3'] | |
df = pd.DataFrame(index=units, columns=times) | |
df.time1 = [4, 5, 6, 7] | |
df.time2 = [5, 4, 7, 6] | |
df.time3 = [5, 4, 6, 7] | |
ymin = min(df.min()) | |
ymax = max(df.max()) | |
num_times = df.shape[1] | |
num_units = df.shape[0] | |
plt.xlim(0, num_units) | |
plt.ylim(ymin - 1, ymax + 1) | |
plt.axis('off') | |
for time in range(num_times): | |
for unit in range(num_units): | |
plt.text(time + 1, | |
df.values[unit][time] - .05, | |
'{} : {}'.format(df.index[unit], df.values[unit][time]), | |
horizontalalignment='center', | |
verticalalignment='baseline') | |
num_lines = range(1, num_times) | |
for l in num_lines: | |
for row in df.values: | |
plt.plot([l + .25, l + .75], [row[l - 1], row[l]]) | |
plt.show() |
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