Show the distribution of the last 100 Delighted.com NPS responses

delighted_nps_distribution.py

%matplotlib inline
import delighted
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Add your Delighted API key — https://delighted.com/account/api
delighted.api_key = 'INSERT API KEY HERE'

x = delighted.SurveyResponse.all(order='desc:updated_at', per_page=100)

score_list = []
for item in x:
    score_list.append(item['score'])

df = pd.DataFrame(data=score_list, columns=['scores'])
summary_df = df['scores'].value_counts().sort_index(ascending=True)
tuple_for_chart = tuple(summary_df.tolist())

nps_colors = ['r', 'r', 'r', 'r', 'r', 'r', 'r', 'b', 'b', 'g', 'g']

nps_range = np.arange(11)
width = .95

fig, ax = plt.subplots(figsize=(6, 4))
ax.bar(nps_range, tuple_for_chart, width, color=nps_colors)
ax.set_ylabel('Responses')
ax.set_xlabel('Scores')
ax.set_title('NPS Score Distribution')
ax.set_xticks(nps_range + width / 2)
ax.set_xticklabels(nps_range)
plt.xlim([-1,12])
plt.ylim([0,50])

plt.show()