I have the below code as per .ipynb

!pip install plot_likert

import plot_likert
import pandas as pd
import matplotlib.pyplot as plt

precomputed_counts2 = pd.DataFrame(
    {'Strongly disagree': {'Q1': 3.0},
     'Disagree': {'Q1': 9.0},
     'Neither agree nor disagree': {'Q1': 13.0},
     'Agree': {'Q1': 69.0},
     'Strongly agree': {'Q1': 31.0}}
)
precomputed_counts2

ax=plot_likert.plot_counts(precomputed_counts2, plot_likert.scales.agree,colors=plot_likert.colors.likert6,bar_labels_color="black",bar_labels="count");
ax.figure.set_size_inches(12, 2)
ax.xaxis.set_label_text('Difficulty Level of Questions');

And the Output is as below: The output has labels but not for Strongly Disagree

How to ensure all options have the data labels in the plot?

I tried to increase the value of Strongly Disagree from 3 to 15 and it does show up as data label in the output.

I have the below code as per https://github/nmalkin/plot-likert/blob/release/docs/guide.ipynb

!pip install plot_likert

import plot_likert
import pandas as pd
import matplotlib.pyplot as plt

precomputed_counts2 = pd.DataFrame(
    {'Strongly disagree': {'Q1': 3.0},
     'Disagree': {'Q1': 9.0},
     'Neither agree nor disagree': {'Q1': 13.0},
     'Agree': {'Q1': 69.0},
     'Strongly agree': {'Q1': 31.0}}
)
precomputed_counts2

ax=plot_likert.plot_counts(precomputed_counts2, plot_likert.scales.agree,colors=plot_likert.colors.likert6,bar_labels_color="black",bar_labels="count");
ax.figure.set_size_inches(12, 2)
ax.xaxis.set_label_text('Difficulty Level of Questions');

And the Output is as below: The output has labels but not for Strongly Disagree

How to ensure all options have the data labels in the plot?

I tried to increase the value of Strongly Disagree from 3 to 15 and it does show up as data label in the output.

• python
• matplotlib
• likert

1 Answer 1

import plot_likert
import pandas as pd
import matplotlib.pyplot as plt

precomputed_counts2 = pd.DataFrame(
    {'Strongly disagree': {'Q1': 3.0},
     'Disagree': {'Q1': 9.0},
     'Neither agree nor disagree': {'Q1': 13.0},
     'Agree': {'Q1': 69.0},
     'Strongly agree': {'Q1': 31.0}}
)


ax = plot_likert.plot_counts(precomputed_counts2, plot_likert.scales.agree, 
                             colors=plot_likert.colors.likert6, 
                             bar_labels_color="black")

for p in ax.patches:
    width = p.get_width()  
    x_pos = p.get_x() + width / 2  
    y_pos = p.get_height() / 2  
    

    if width > 0:
        ax.text(x_pos, y_pos, f'{int(p.get_width())}', 
                ha='center', va='center', color="black")


ax.figure.set_size_inches(12, 2)
ax.xaxis.set_label_text('Difficulty Level of Questions')

plt.show()

Remove bar_labels="count" and add a loop through the bars in the plot using ax.patches. Afterwards I used ax.text function to manually add text at specific positions for each bar, with adjusted position to make sure the label is centered and always visible.