dailylog 9-15-20

plt Ticks and ordering

TICKS!

xticks(np.arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue'))

df = df[df['executive_leader'] != 'No lead data']
sm_df = pd.DataFrame(df.groupby(['executive_leader','ethnicity'])['employee_number'].count())

sm_df.reset_index(inplace=True)
sm_df.columns = ['executive_leader', 'ethnicity', 'count']

sm_df

sm_df_p = sm_df.pivot_table('count', ['executive_leader'], 'ethnicity')
sm_df_p = sm_df_p.fillna(0)

# sm_df_p['Total'] = sm_df_p.sum(axis=1)
result = sm_df_p.copy()
og_sm_df_p = sm_df_p.copy()
sm_df_p = result.div(result.sum(axis=1), axis=0)

chart = sm_df_p.plot.bar(stacked=True)
plt.legend(loc='upper right', bbox_to_anchor=(2, 1))
chart.set_xticklabels(chart.get_xticklabels(), rotation=45, horizontalalignment='right')
chart.spines['right'].set_visible(False)
chart.spines['top'].set_visible(False)


counter = -1
# for num in range(8):
for i,p in enumerate(chart.patches):
#     print(p)
    width, height = p.get_width(), p.get_height()
    total_idx = i%len(sm_df_p)
    if total_idx == 0:
        counter += 1
#     print(og_sm_df_p.iloc[total_idx][0])
#     percentage = (height/df_total[total_idx]) *100
#     print(i,p)

    x, y = p.get_xy()
#     print(y, i-(len(sm_df_p)))
    lookup = og_sm_df_p.iloc[total_idx][counter]
    print(total_idx, counter, lookup)
    if lookup > 2:
        chart.text(x+width/2,
                    y+height/2,
                    '{}'.format(lookup),
                    horizontalalignment='center',
                    verticalalignment='center')
#     if percentage > 5:
#         ax.text(x+width/2,
#                 y+height/2,
#                 '{:.0f}%'.format(percentage),
#                 horizontalalignment='center',
#                 verticalalignment='center')