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How to add value labels on a bar chart
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Stacked Bar Chart with Centered Labels
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Closed 11 months ago.
in the below code, I'm trying to plot stacked bar chart of % of stoke events against the gender variable.
dfgender=df.groupby('gender')['stroke'].value_counts(normalize=True).unstack().fillna(0)
ax=dfgender.plot.bar(stacked=True,colormap='tab10',figsize=(8, 6))
plt.legend(loc="upper right", ncol=1, prop={'size': 8})
plt.title('Gender vs Stroke')
plt.xlabel("Gender")
plt.ylabel("Proportion")
for p in ax.patches:
ax.annotate(round(p.get_height(),2), (p.get_x()+p.get_width()/2, p.get_height()),ha='center',va='center',xytext=(10, 0), textcoords='offset points')
plt.show()
But as you can see, the placement of the bar labels is incorrect. 1 should be 5% and 0 should be 95%. I want the figures to be represented in percentages and be positioned in the center of the bars. Can somebody help me please?
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I have monthly rain data from a list, where values are on the Y-axis and months on the X-axis.
This is my color palette:
sns.color_palette("crest", as_cmap=True)
This is my code to barplot the data:
plt.figure(figsize=(8,4), tight_layout=True)
colors = sns.color_palette("crest")
plt.bar(bocas_rain['Date'], bocas_rain['Pr'], color=colors)
plt.xlabel('Months')
plt.ylabel('Rain in mm')
plt.title('Rain in Bocas')
plt.show()
The result I am getting is this:
How can I make the highest values of my data match the dark blue colors from the palette?
This question already has answers here:
How can I remove the top and right axis in matplotlib?
(10 answers)
Closed 7 months ago.
enter image description here
the values of bars overlapping the borders. How to change the border so that bars with values should fit in properly
#adding following lines solved the problem
fig = plt.figure(figsize=(6, 6))
ax = fig.add_subplot(111)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
This question already has answers here:
How can I make a barplot and a lineplot in the same seaborn plot with different Y axes nicely?
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Closed 10 months ago.
I want to plot 2 subplot. The First subplot is using only one y-axis and is working as expected, in second subplot i want to create dual y -axis and plot line and bar plot. But seems like only barplot is rendering, Can someplease please highlight where i am going wrong ?
f,axes =plt.subplots(1,2)
sns.set_theme(style='whitegrid',palette="pastel")
sns.set(rc={'figure.figsize':(20.7,3.27)})
plt.figure(figsize=(20.7,3.27))
# Single Y-Axis in left side plot
sns.lineplot(x='date', y="visit", data=df[(df['Website'] == url)], ci= None,ax=axes[0]).set_title(url)
sns.lineplot(x='date', y="visit_industry", data=df[(df['Website'] == url)], ci= None,ax=axes[0]).set_title(url)
## Dual Y- Axis in right hand side plot.
ax2 = axes[1].twinx()
sns.lineplot(x='date', y="yoy_change", data=df[(df['Website'] == url)],color='blue',ax=ax2)
sns.barplot(x='date', y="yoy_change_industry", data=df[(df['Website'] == url)],color='black',ax=ax2)
plt.tight_layout()
plt.show()
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Delete a subplot
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Closed 11 months ago.
I'd like to make a [2,2] subplot of charts/graphs using the first three open plots for the graphs and the 4 spot for bullet points about the graphs/charts. Is this possible using python/matplotlib?
Take for example the code below:
plt.style.use('fivethirtyeight')
fig, axes = plt.subplots(2,2)
fig.suptitle("Owner Occupied Loss Ratio")
sns.barplot(ax = axes[0,0], x=decile_oo['decile'], y=np.round((decile_oo['NonCAT Loss Ratio']*100),2), color = 'blue')
# g.bar_label(ax.containers[0])
sns.barplot(ax = axes[0,1], x=decile_oo['decile'], y=np.round((decile_oo['NonCAT Frequency']*100),2), color = 'red')
# f.bar_label(ax.containers[0])
sns.barplot(ax = axes[1,0], x=decile_oo['decile'], y=np.round((decile_oo['NonCAT Severity']*100),2), color = 'green')
# i.bar_label(ax.containers[0])
plt.tight_layout()
plt.show()
That produced the below graphic.
I'd like that blank graph in position [1,1] to have bullet points I type out instead of a blank graph. Is this possible?
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Closed last year.
What can I add to this code to display Bar Graph Numbers?
plt.barh(regionTotal['WHO Region'],regionTotal['Confirmed'])
plt.title('Region Total Confirmed Cases')
plt.xlabel('Region')
plt.ylabel('Confirmed Cases')
plt.show()