I have a df and I am trying to create horizontal bar charts. Currently, I have the code like below. import pandas as pd import matplotlib.pyplot as plt data = {'Name': ["A", "B", "C", "D",'E'], 'Todo': [4, 5, 6, 7, 3], 'Done': [6, 2, 6, 8, 6], 'TimeRemaining': [4, 4, 4, 4, 4]} df = pd.DataFrame(data) fig, ax1 = plt.subplots(figsize=(10, 8)) ax2 = ax1.twinx() # Get the names of columns at indices 1 to 10 selected_column_names = df.columns[0:2].to_list() ax = df.plot(kind='barh',y=selected_column_names, stacked=True, ax=ax2, ) for c in ax.containers: # Optional: if the segment is small or 0, customize the labels labels = [v.get_width() if v.get_width() > 0 else '' for v in c] # remove the labels parameter if it's not needed for customized labels ax.bar_label(c, fmt=lambda x: f'{x:.0f}' if x > 0 else '',label_type='center') df.set_index('Name').plot(kind='barh', y=["TimeRemaining"], color='whitesmoke', alpha=0.3,ax=ax1, align='center', width=0.8, edgecolor='blue',) # Hide y-axis tick labels ax2.tick_params(axis='y', labelright=False, right=False) ax2.set_yticklabels([]) ax1.get_legend().remove() plt.title('Status Chart') plt.tight_layout() plt.show() Which results in a plot like so & as you can see the dark blue bars are not centered with the semi-transparent bars (both bars are on different axes) If I put them on the same axis by changing ax1 to ax2 on the second plot like so df.set_index('Name').plot(kind='barh', y=["TimeRemaining"], color='whitesmoke', alpha=0.3,ax=ax2, align='center', width=0.8, edgecolor='blue',) they align perfectly but the names are not visible any more! I also get the legend for "TimeRemaining" which I don't want and the semi transparent bars are in the front now. How do I fix the chart such that both bars are on top & I also have the name shown in the y-axis on the left? Continue reading...
