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Python Data Science Basics Charts and Tables Bar Charts

Stephen Cole
PLUS
Stephen Cole
Courses Plus Student 15,592 Points

UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.

When this error appears, here is the fix:

colors = [color['color'] for color in list(plt.rcParams['axes.prop_cycle'])]

Or, at the very least, it seems to fix the problem.

Chris Freeman
Chris Freeman
Treehouse Moderator 68,082 Points

Thanks for posting the work-around! Tagging Kenneth Love to make note of this.

Stephen or Chris...can you help please?

Note: after I originally submitted this comment I was able to get the code to run by deleting the: "color=colors[group%len(price_groups)] as shown below:

for group in price_groups: # ax.bar(group, price_groups[group], color=colors[group%len(price_groups)]) ax.bar(group, price_groups[group])

I have substituted "axes.prop_cycle" as you mention above (code below), but am still getting an error:

Traceback (most recent call last): File "dsb_charts.py", line 77, in <module> create_bar_chart(price_groups, "price_in_groups.png") File "dsb_charts.py", line 62, in create_bar_chart ax.bar(group, price_groups[group], color=colors[group%len(price_groups)]) File "C:\Users\Administrator\AppData\Local\Programs\Python\Python37-32\lib\site-packages\cycler.py", line 223, in ge titem raise ValueError("Can only use slices with Cycler.getitem")


line 77 is "create_bar_chart(price_groups, "price_in_groups.png") ":

def create_bar_chart(price_groups, exported_figure_filename): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) plt.style.use('ggplot') colors=plt.rcParams['axes.prop_cycle']

for group in price_groups:
    ax.bar(group, price_groups[group], color=colors[group%len(price_groups)])

labels = ["$0-50", "$50-100", "$100-150", "$150-200", "$200-250", "$250+"]
ax.legend(labels)

ax.set_title('Amount of Ties at price points')
ax.set_xlabel('Tie Price ($)')
ax.set_xticklabels(labels, ha='left')
ax.set_xticks( range(1, len(price_groups)+1) )
ax.set_ylabel('Number of Ties')

plt.grid(True)
fig.savefig(exported_figure_filename)

price_groups = group_prices_by_range(price_in_float) create_bar_chart(price_groups, "price_in_groups.png")


Kat Chaung's original code:

def create_bar_chart(price_groups, exported_figure_filename): fig = plt.figure() ax = fig.add_subplot(1, 1, 1) plt.style.use('ggplot') colors=plt.rcParams['axes.color_cycle']

for group in price_groups:
    ax.bar(group, price_groups[group], color=colors[group%len(price_groups)])

labels = ["$0-50", "$50-100", "$100-150", "$150-200", "$200-250", "$250+"]
ax.legend(labels)

ax.set_title('Amount of Ties at price points')
ax.set_xlabel('Tie Price ($)')
ax.set_xticklabels(labels, ha='left')
ax.set_xticks( range(1, len(price_groups)+1) )
ax.set_ylabel('Number of Ties')

plt.grid(True)
fig.savefig(exported_figure_filename)

1 Answer

Not sure if your solution is the problem, but the price range colors doesn't match with the bar colors of the x-axis.

For example the range 0-50$ is supposed to be gray, but the bar on the x-axis is blue. The indexing is off it seems.