问题描述
你能帮我弄清楚如何用matplotlib绘制这种图吗?
Can you help me figure out how to draw this kind of plot with matplotlib?
我有一个表示表格的熊猫数据框对象:
I have a pandas data frame object representing the table:
Graph n m
<string> <int> <int>
我想可视化每个 Graph
的 n
和 m
的大小:一个水平条形图,其中每一行都有一个y 轴左侧包含 Graph
名称的标签;在 y 轴的右侧,有两个细长的水平条,它们直接位于彼此的下方,其长度代表 n
和 m
.应该清楚地看到,两条细条都属于标有图形名称的行.
I want to visualize the size of n
and m
for each Graph
: A horizontal bar chart where for each row, there is a label containing the Graph
name to the left of the y-axis; to the right of the y-axis, there are two thin horizontal bars directly below each other, whose length represents n
and m
. It should be clear to see that both thin bars belong to the row labelled with the graph name.
这是我目前编写的代码:
This is the code I have written so far:
fig = plt.figure()
ax = gca()
ax.set_xscale("log")
labels = graphInfo["Graph"]
nData = graphInfo["n"]
mData = graphInfo["m"]
xlocations = range(len(mData))
barh(xlocations, mData)
barh(xlocations, nData)
title("Graphs")
gca().get_xaxis().tick_bottom()
gca().get_yaxis().tick_left()
plt.show()
推荐答案
听起来您想要一些与此示例非常相似的内容:http://matplotlib.org/examples/api/barchart_demo.html
It sounds like you want something very similar to this example: http://matplotlib.org/examples/api/barchart_demo.html
首先:
import pandas
import matplotlib.pyplot as plt
import numpy as np
df = pandas.DataFrame(dict(graph=['Item one', 'Item two', 'Item three'],
n=[3, 5, 2], m=[6, 1, 3]))
ind = np.arange(len(df))
width = 0.4
fig, ax = plt.subplots()
ax.barh(ind, df.n, width, color='red', label='N')
ax.barh(ind + width, df.m, width, color='green', label='M')
ax.set(yticks=ind + width, yticklabels=df.graph, ylim=[2*width - 1, len(df)])
ax.legend()
plt.show()
这篇关于如何使用 matplotlib 在一张图表中绘制多个水平条的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!