[英]how to create upside down bar graphs with shared x-axis with matplotlib / seaborn and a pandas dataframe
I want to create a graph similar to this. 我想创建一个与此类似的图形。 Is this possible using matplotlib / seaborn.
是否可以使用matplotlib / seaborn。 If so, what resources can I use in order to learn how to style matplotlib / seaborn graphs and how can I get the two graphs to line up like this.
如果是这样,我可以使用哪些资源来学习如何设置matplotlib / seaborn图的样式,以及如何使两个图这样排列。
Use a common x-axis and convert one of the datasets to contain negative values. 使用公共x轴并将其中一个数据集转换为包含负值。
y = ['{} to {} years'.format(i, i+4) for i in range(0, 90, 4)]
d_1 = np.random.randint(0, 150, 23)
d_2 = -1 * d_1
Then plot: 然后绘制:
fig, ax = plt.subplots()
ax.bar(y, d_1)
ax.bar(y, d_2)
# Formatting x labels
plt.xticks(rotation=90)
plt.tight_layout()
# Use absolute value for y-ticks
ticks = ax.get_yticks()
ax.set_yticklabels([int(abs(tick)) for tick in ticks])
plt.show()
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