Question

我目前正在尝试绘制具有六个级别的分组条形图，如下面的代码所示：

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

font = {'family': 'serif',
        'color':  'darkgreen',
        'weight': 'normal',
        'size': 12,
        } 

# Create dataframe
raw_data = {'first_name': ['City 1', 'City 2', 'City 3', 'City 4', 'City 5', 'City 6', 'Total   '],
        'A': [11.5, 17.9,   27.3,   10.1,   10.9,   11.1,   13.7],
        'B': [15.1, 34.5,   28.8,   21.9,   25.8,   26.7,   24.2],
        'C': [42.1, 31.0,   28.8,   37.5,   22.6,   38.9,   33.8],
        'D':[25.0,  5.4,    8.3,    17.0,   24.0,   14.4,   17.2],
        'E':[4.4,   4.8,    4.5,    4.5,    2.7,    5.6,    4.3],
        'F':[2.0,   6.5,    2.3,    9.0,    14.0,   3.3,    6.9]}
df = pd.DataFrame(raw_data, columns = ['first_name','A', 'B', 'C', 'D', 'E','F'])
df

# Make plot
# Setting the positions and width for the bars
#pos = list(range(len(df['A']))) 
pos = np.arange(len(df['A']))
width = 0.15

# Plotting the bars
fig, ax = plt.subplots(figsize=(10,5))

# Create a bar with pre_score data,
# in position pos,
plt.bar(pos, 
        #using df['pre_score'] data,
        df['A'], 
        # of width
        width, 
        # with alpha 0.5
        alpha=0.5, 
        # with color
        color='#008B45', 
        # with label the first value in first_name
        label=df['first_name'][0]) 

# Create a bar with mid_score data,
# in position pos + some width buffer,
plt.bar([p + width for p in pos], 
        #using df['mid_score'] data,
        df['B'],
        # of width
        width, 
        # with alpha 0.5
        alpha=0.5, 
        # with color
        color='#00FF7F', 
        # with label the second value in first_name
        label=df['first_name'][1]) 

# Create a bar with post_score data,
# in position pos + some width buffer,
plt.bar([p + width*2 for p in pos], 
        #using df['post_score'] data,
        df['C'], 
        # of width
        width, 
        # with alpha 0.5
        alpha=0.5, 
        # with color
        color='#00F5FF', 
        # with label the third value in first_name
        label=df['first_name'][2]) 

# Create a bar with post_score data,
# in position pos + some width buffer,
plt.bar([p + width*3 for p in pos], 
        #using df['post_score'] data,
        df['D'], 
        # of width
        width, 
        # with alpha 0.5
        alpha=0.5, 
        # with color
        color='red', 
        # with label the third value in first_name
        label=df['first_name'][3]) 

# Create a bar with post_score data,
# in position pos + some width buffer,
plt.bar([p + width*4 for p in pos], 
        #using df['post_score'] data,
        df['E'], 
        # of width
        width, 
        # with alpha 0.5
        alpha=0.5, 
        # with color
        color='blue', 
        # with label the third value in first_name
        label=df['first_name'][4]) 

# Create a bar with post_score data,
# in position pos + some width buffer,
plt.bar([p + width*5 for p in pos], 
        #using df['post_score'] data,
        df['F'], 
        # of width
        width, 
        # with alpha 0.5
        alpha=0.5, 
        # with color
        color='#5B5B5B', 
        # with label the third value in first_name
        label=df['first_name'][5]) 

#params = {"text.color" : "blue"}

#plt.rcParams.update(params)


# Set the y axis label
ax.set_ylabel('Percentage')

# Set the chart's title 
plt.title('Title here', fontdict=font)

# Set the position of the x ticks
ax.set_xticks([p + 1.5 * width for p in pos])

# Set the labels for the x ticks
ax.set_xticklabels(df['first_name'])

# Setting the x-axis and y-axis limits
plt.xlim(min(pos)-width, max(pos)+width*4)
plt.ylim(0,100)

# Adding the legend and showing the plot
plt.legend(['Very satisfied', 'Satisfied',
            'Little satisfied', 'Not satisfied',
            'There is no... ', 'No response'], loc='best', shadow = 'True', fontsize = 'small')

#plt.grid()
plt.show()

代码运行良好，并在下面生成此图：

Figure generated

因此，我需要两点帮助： 1.从图中可以看出，在右侧未显示“总计”中所有类别的六个级别。如何解决这个问题？ 2.我想包括要在每个条形图上显示的值标签。可以请教如何做吗？

希望很快能收到您的来信。

此致

Rungo。

一级条形图的分组不可见，以及如何在条形图上包括值标签

0 个答案: