Update bar plot.

intervene_test/update_barplot.py

+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+N = 7
+men_means = (20, 35, 30, 35, 27)
+
+pts = np.array([
+    179, 49, 189, 55720, 907, 12592, 153356])
+
+df = pd.DataFrame([
+    179, 49, 189, 55720, 907, 12592, 153356])
+
+ind = np.arange(N)  # the x locations for the groups
+width = 0.35       # the width of the bars
+
+
+f, axis = plt.subplots(2, 1, sharex=True)
+df.plot(kind='bar', ax=axis[0])
+df.plot(kind='bar', ax=axis[1])
+axis[0].set_ylim(5000, 200000)
+axis[1].set_ylim(0, 1500)
+axis[1].legend().set_visible(False)
+
+axis[0].spines['bottom'].set_visible(False)
+axis[1].spines['top'].set_visible(False)
+axis[0].xaxis.tick_top()
+axis[0].tick_params(labeltop='off')
+axis[1].xaxis.tick_bottom()
+d = .02
+kwargs = dict(transform=axis[0].transAxes, color='#1E8EC9', clip_on=False)
+axis[0].plot((-d,+d),(-d,+d), **kwargs)
+axis[0].plot((1-d,1+d),(-d,+d), **kwargs)
+kwargs.update(transform=axis[1].transAxes)
+axis[1].plot((-d,+d),(1-d,1+d), **kwargs)
+axis[1].plot((1-d,1+d),(1-d,1+d), **kwargs)
+plt.savefig('Histone_barplot.png')
+plt.clf()