matplotlib高级条形图 [英] matplotlib advanced bar plot

问题描述

我需要重新创建一个类似于在Excel中创建的图表。我希望能够使用matplotlib，但似乎无法找到任何示例或参考如何执行此类图表。我需要根据性能阈值对条形进行着色，并显示阈值。任何人都可以将我指向正确的方向吗？不过，我确实需要使用Python来做到这一点。

 <$ c 
 
 $ c> import numpy as np 
 import matplotlib 
 matplotlib.rcParams ['text.usetex'] = False 
 import matplotlib.pyplot as plt 
 import pandas 
 
 df = pandas.DataFrame（np.random.uniform（size = 37）* 100，columns = ['A']）
 threshold = 75 
 fig，ax = plt.subplots（figsize =（8,3））
 
 good = df ['A'] [df ['A']> =阈值] 
 bad = df ['A'] [df [ 'A']<阈值] 
 
 ax.bar（left = good.index，height = good，align ='center'，color ='ForestGreen'，zorder = 5）
 ax.bar（left = bad.index，height = bad，align ='center'，color ='Firebrick'，zorder = 5）
 
 ax.axhline（y =阈值，linewidth = 2，color ='ForestGreen'， zorder = 0）
 
 ax.set_xticks（df.index）
 ax.set_xlim（left = df.index [0] -0.75，right = df.index [-1] +0.75 ）
 
 def annotateBars（row，ax = ax）：
 if row ['A']< 20：
 color ='black'
 vertalign ='bottom'
 vertpad = 2 
 else：
 color ='white'
 vertalign ='top '
 vertpad = -2 
 
 ax.text（row.name，row ['A'] + vertpad，{：.1f}％.format（row ['A' ]），
 zorder = 10，rotation = 90，color = color，
 horizo​​ntalalignment ='center'，
 verticalalignment = vertalign，
 fontsize = 8，weight ='heavy' ）
 
 junk = df.apply（annotateBars，ax = ax，axis = 1）
  

这给了我：

I need to recreate a chart similar to the one below created in Excel. I was hoping to use matplotlib, but can't seem to find any examples or reference for how to do a chart like this. I need to have bars colored based on a performance threshold, and also display the threshold. Can anyone point me in the right direction? I do need to be able to do this with Python, though.

解决方案

I gotta run, but here's something to get you started:

import numpy as np
import matplotlib
matplotlib.rcParams['text.usetex'] = False
import matplotlib.pyplot as plt
import pandas

df = pandas.DataFrame(np.random.uniform(size=37)*100, columns=['A'])
threshold = 75
fig, ax = plt.subplots(figsize=(8,3))

good = df['A'][df['A'] >= threshold]
bad = df['A'][df['A'] < threshold]

ax.bar(left=good.index, height=good, align='center', color='ForestGreen', zorder=5)
ax.bar(left=bad.index, height=bad, align='center', color='Firebrick', zorder=5)

ax.axhline(y=threshold, linewidth=2, color='ForestGreen', zorder=0)

ax.set_xticks(df.index)
ax.set_xlim(left=df.index[0]-0.75, right=df.index[-1]+0.75)

def annotateBars(row, ax=ax):
    if row['A'] < 20:
        color = 'black'
        vertalign = 'bottom'
        vertpad = 2
    else:
        color = 'white'
        vertalign = 'top'
        vertpad = -2

    ax.text(row.name, row['A'] + vertpad, "{:.1f}%".format(row['A']),
            zorder=10, rotation=90, color=color,
            horizontalalignment='center',
            verticalalignment=vertalign,
            fontsize=8, weight='heavy')

junk = df.apply(annotateBars, ax=ax, axis=1)

And that gives me:

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