Python 如何使用matplotlib创建这种网格表
我不熟悉使用matplotlib。我正在尝试使用matplotlib创建二维栅格。这是我第一次将matplotlib用于任何非平凡的事情 我决定将任务分为三个部分:Python 如何使用matplotlib创建这种网格表,python,matplotlib,Python,Matplotlib,我不熟悉使用matplotlib。我正在尝试使用matplotlib创建二维栅格。这是我第一次将matplotlib用于任何非平凡的事情 我决定将任务分为三个部分: 创建网格表(如下所示),为相应的列着色,并正确标记轴。这是我最需要帮助的一个。我最初的想法是将表的数据保存在字典列表(或列表列表)中;data struct可以保存一些关于哪些列被着色的元数据,然后我可以简单地根据这些数据创建matplot绘图-但是我还没有使用matplotlib进行任何绘图,可以在入门时获得一些帮助 用坐标(行、
一旦我有了这个,我相信我将能够一起攻克一些东西,进入我试图编写的游戏——特别是,因为我刚刚为Python开发人员购买了Matplotlib的副本。嗯。。。我想您可以通过要求matplotlib显示网格,并为符号组合条形图(为列着色)和散点图或直接文本绘图来实现这一点 编辑:这可能有助于您入门。不过,需要对蜱虫进行一些研究
#!/usr/bin/python
from pylab import *
import matplotlib
import matplotlib.ticker as ticker
# Setting minor ticker size to 0, globally.
# Useful for our example, but may not be what
# you want, always
matplotlib.rcParams['xtick.minor.size'] = 0
# Create a figure with just one subplot.
# 111 means "1 row, 1 column, 1st subplot"
fig = figure()
ax = fig.add_subplot(111)
# Set both X and Y limits so that matplotlib
# don't determine it's own limits using the data
ax.set_xlim(0, 800)
# Fixes the major ticks to the places we want (one every hundred units)
# and removes the labels for the majors: we're not using them!
ax.xaxis.set_major_locator(ticker.FixedLocator(range(0, 801, 100)))
ax.xaxis.set_major_formatter(ticker.NullFormatter())
# Add minor tickers AND labels for them
ax.xaxis.set_minor_locator(ticker.AutoMinorLocator(n=2))
ax.xaxis.set_minor_formatter(ticker.FixedFormatter(['AB%d' % x for x in range(1, 9)]))
ax.set_ylim(-2000,6500, auto = False)
# And set the grid!
ax.grid(True, linestyle='-')
# common attributes for the bar plots
bcommon = dict(
height = [8500], # Height = 6500 - (-2000)
bottom = -2000, # Where to put the bottom of the plot (in Y)
width = 100) # This is the width of each bar, itself
# determined by the distance between X ticks
# Now, we create one separate bar plot pear colored column
# Each bar is a rectangle specified by its bottom left corner
# (left and bottom parameters), a width and a height. Also, in
# your case, the color. Three of those parameters are fixed: height,
# bottom and width; and we set them in the "bcommon" dictionary.
# So, we call bar with those two parameters, plus an expansion of
# the dictionary.
# Note that both "left" and "height" are lists, not single values.
# That's because each barplot could (potentially) have a number of
# bars, each one with a left starting point, along with its height.
# In this case, there's only one pair left-height per barplot.
bars = [[600, 'blue'],
[700, 'orange']]
for left, clr in bars:
bar([left], color=clr, **bcommon)
show()
+1用于代码段!。酷!。我很惊讶,这么短的一段代码几乎完全实现了我在第一个需求中的目标!。现在试着去理解你写的东西吧。。。呃,请你加上一些评论,让像我这样的凡人都能理解代码:)谢谢!那里我还修改了条形图,这样你就可以在每个彩色栏中添加更少的代码。谢谢你的评论!我已经设法对你的代码做了一些调整,使它更加指向我想要的方向。尽管如此,我仍然需要一些帮助-例如,X轴的“居中”文本标签(希望很容易?),以及在指定的坐标(列名,y值)处写入文本。请看我的最新问题。我们可以做奇迹调整主要/次要刻度和标签。让我快速想出一些办法……现在,看看变化:我已经修复了X轴的标记。通过删除主定位器的标签并添加辅定位器(
n=2
意味着将两个主定位器之间的空间划分为两个区域,这意味着辅定位器将居中!)及其标签,我们可以获得所需的效果:)。你可以用这个例子来做Y!