Matplotlib subplot size3/7/2023 Note: For more information about chart legend customization, check out our comprehensive tutorial on Seaborn legends. We’ll use the bbox_to_anchor parameter to define a bounding box for the chart legend. We would like to place the legend outside the countplot. Let’s take a look: Step 7: Add the legend to the countplotĪs can be seen above, the plot legend is overlapping with the top right of the chart. # categorical countplot - show multiple columnsĪx =sns.countplot(x = 'day', data=deliveries, order = day_order, palette='pastel', hue='time')Īx.text (rect.get_x() + rect.get_width() / 2,rect.get_height()+ 0.25,rect.get_height(),horizontalalignment='center', fontsize = 9) We now want to show the usage of the hue parameter of sns.countplot() to achieve a categorical drill down of our delivery data. Looking good: Step 6: Multiple categorical columns in sns countplot # show count (+ annotate)Īx.text (rect.get_x() + rect.get_width() / 2,rect.get_height()+ 0.75,rect.get_height(),horizontalalignment='center', fontsize = 11) Here’s a simple code that uses plt.text() to annotate the count values on top of our plot. Step 5: Show count in Seaborn countplotsĪ nice addition to our chart would be the ability to show the value count for every bar. plt.rc axes, titlesize16) Set the axes labels font size. plt.rc font, size16) Set the axes title font size. import matplotlib.pyplot as plt Set the default text font size. You can use the following syntax to adjust the size of subplots in Matplotlib: specify one size for all subplots fig, ax plt. pyplot as plt define figure size in (width, height) for all plots plt. figure (figsize(3,3)) And you can use the following syntax to increase the size of all Matplotlib plots in a notebook: import matplotlib. # change order x axis + change palleteĭay_order = Ĭountplt, ax = plt.subplots(figsize = (10,7))Īx =sns.countplot(x = 'day', data=deliveries, order = day_order, palette='pastel' ) In this case, you have to specify the font size for each individual component by modifying the corresponding parameters as shown below. pyplot as plt define figure size in (width, height) for a single plot plt. Ax.set_title('Daily Deliveries',fontsize = 18, fontweight='bold' )Īx.set_ylabel('Delivery count', fontsize = 15)Ĭountplt Step 4: order of x-axis labels in CountplotsĪs you can see above, the current order of the x-axis ticks doesn’t make much sense.
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