|
| 1 | +import matplotlib.pyplot as plt |
| 2 | +import seaborn as sns |
| 3 | + |
| 4 | + |
| 5 | +def bulletgraph(data=None, limits=None, labels=None, axis_label=None, title=None, |
| 6 | + size=(5, 3), palette=None, target_color="gray", bar_color="black", |
| 7 | + label_color="gray", formatter=None): |
| 8 | + """ Build out a bullet graph image |
| 9 | + Args: |
| 10 | + data = List of labels, measures and targets |
| 11 | + limits = list of range valules |
| 12 | + labels = list of descriptions of the limit ranges |
| 13 | + axis_label = string describing x axis |
| 14 | + title = string title of plot |
| 15 | + size = tuple for plot size |
| 16 | + palette = a seaborn palette |
| 17 | + target_color = color string for the target line |
| 18 | + bar_color = color string for the small bar |
| 19 | + label_color = color string for the limit label text |
| 20 | + formatter = matplotlib formatter object for x axis |
| 21 | + Returns: |
| 22 | + a matplotlib figure |
| 23 | + """ |
| 24 | + # Determine the max value for adjusting the bar height |
| 25 | + # Dividing by 10 seems to work pretty well |
| 26 | + h = limits[-1] / 10 |
| 27 | + |
| 28 | + # Use the green palette as a sensible default |
| 29 | + if palette is None: |
| 30 | + palette = sns.light_palette("green", len(limits), reverse=False) |
| 31 | + |
| 32 | + # Must be able to handle one or many data sets via multiple subplots |
| 33 | + if len(data) == 1: |
| 34 | + fig, ax = plt.subplots(figsize=size, sharex=True) |
| 35 | + else: |
| 36 | + fig, axarr = plt.subplots(len(data), figsize=size, sharex=True) |
| 37 | + |
| 38 | + # Add each bullet graph bar to a subplot |
| 39 | + for idx, item in enumerate(data): |
| 40 | + |
| 41 | + # Get the axis from the array of axes returned when the plot is created |
| 42 | + if len(data) > 1: |
| 43 | + ax = axarr[idx] |
| 44 | + |
| 45 | + # Formatting to get rid of extra marking clutter |
| 46 | + ax.set_aspect('equal') |
| 47 | + ax.set_yticklabels([item[0]]) |
| 48 | + ax.set_yticks([1]) |
| 49 | + ax.spines['bottom'].set_visible(False) |
| 50 | + ax.spines['top'].set_visible(False) |
| 51 | + ax.spines['right'].set_visible(False) |
| 52 | + ax.spines['left'].set_visible(False) |
| 53 | + |
| 54 | + prev_limit = 0 |
| 55 | + for idx2, lim in enumerate(limits): |
| 56 | + # Draw the bar |
| 57 | + ax.barh([1], lim - prev_limit, left=prev_limit, height=h, |
| 58 | + color=palette[idx2]) |
| 59 | + prev_limit = lim |
| 60 | + rects = ax.patches |
| 61 | + # The last item in the list is the value we're measuring |
| 62 | + # Draw the value we're measuring |
| 63 | + ax.barh([1], item[1], height=(h / 3), color=bar_color) |
| 64 | + |
| 65 | + # Need the ymin and max in order to make sure the target marker |
| 66 | + # fits |
| 67 | + ymin, ymax = ax.get_ylim() |
| 68 | + ax.vlines( |
| 69 | + item[2], ymin * .9, ymax * .9, linewidth=1.5, color=target_color) |
| 70 | + |
| 71 | + # Now make some labels |
| 72 | + if labels is not None: |
| 73 | + for rect, label in zip(rects, labels): |
| 74 | + height = rect.get_height() |
| 75 | + ax.text( |
| 76 | + rect.get_x() + rect.get_width() / 2, |
| 77 | + -height * .4, |
| 78 | + label, |
| 79 | + ha='center', |
| 80 | + va='bottom', |
| 81 | + color=label_color) |
| 82 | + if axis_label: |
| 83 | + ax.set_xlabel(axis_label) |
| 84 | + if formatter: |
| 85 | + ax.xaxis.set_major_formatter(formatter) |
| 86 | + if title: |
| 87 | + fig.suptitle(title, fontsize=14) |
| 88 | + fig.subplots_adjust(hspace=0) |
| 89 | + return fig |
| 90 | + |
| 91 | + |
| 92 | +if __name__ == "__main__": |
| 93 | + |
| 94 | + data_to_plot = [("John Smith", 105, 120), ("Jane Jones", 99, 110), |
| 95 | + ("Fred Flintstone", 109, 125), ("Barney Rubble", 135, 123), |
| 96 | + ("Mr T", 45, 105)] |
| 97 | + |
| 98 | + my_fig = bulletgraph( |
| 99 | + data_to_plot, |
| 100 | + limits=[20, 60, 100, 160], |
| 101 | + labels=["Bad", "OK", "Good", "Excellent"], |
| 102 | + size=(8, 5), |
| 103 | + axis_label="Performance Measure", |
| 104 | + label_color="black", |
| 105 | + bar_color="#252525", |
| 106 | + target_color='#f7f7f7', |
| 107 | + title='Sales Rep Performance') |
| 108 | + plt.show() |
0 commit comments