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Python Data Science Basics Charts and Tables Bar Charts

Stephen Cole
PLUS
Stephen Cole
Courses Plus Student 15,809 Points
Posted by Stephen Cole
Stephen Cole
Courses Plus Student 15,809 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 68,454 Points
Chris Freeman
Chris Freeman
Treehouse Moderator 68,454 Points

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

daniel steinberg
daniel steinberg
14,651 Points

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

fabianfroding
fabianfroding
18,491 Points
fabianfroding
fabianfroding
18,491 Points

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.