4 examples of 'seaborn boxplot multiple columns' in Python

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134def draw_plots(self, column_x, column_y, column_hue):
135 """
136 Function that draws plot in the panel.
137
138 Args:
139 column_x --> 1D dataframe: dataframe column extracted from df
140 (i.e. column_x = df[column_x_name]) as x axis data
141 column_y --> 1D dataframe: dataframe column extracted from df
142 (i.e. column_y = df[column_y_name]) as y axis data
143 column_hue --> 1D dataframe: dataframe column extracted from df
144 (i.e. column_hue = df[column_hue_name]) as legend data
145
146 Returns: None
147 """
148
149 # Reset plot first
150 self.box_axes.clear()
151 self.violin_axes.clear()
152
153 # Box plot
154 try:
155 sns.boxplot(x=column_x, y=column_y, hue=column_hue, data=self.df, ax=self.box_axes)
156 except ValueError as e:
157 # log Error
158 _log_message = "\nBox plot failed due to error:\n--> {}".format(e)
159 pub.sendMessage("LOG_MESSAGE", log_message=_log_message)
160
161 # Violin plot
162 try:
163 sns.violinplot(x=column_x, y=column_y, hue=column_hue, data=self.df, split=True, ax=self.violin_axes)
164 except ValueError as e:
165 # log Error
166 _log_message = "\nVolin plot failed due to error:\n--> {}".format(e)
167 pub.sendMessage("LOG_MESSAGE", log_message=_log_message)
168
169 # Set plot style
170 self.box_axes.set_title("Box Plot for {} and {}".format(column_x, column_y))
171 self.box_axes.set_ylabel(column_y)
172 self.box_axes.set_xlabel(column_x)
173 self.box_canvas.draw()
174
175 self.violin_axes.set_title("Violin Plot for {} and {}".format(column_x, column_y))
176 self.violin_axes.set_ylabel(column_y)
177 self.violin_axes.set_xlabel(column_x)
178 self.violin_canvas.draw()
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53def boxplot(data1, data2, data3):
54 df1 = pd.DataFrame({'RxJava': data1})
55 df2 = pd.DataFrame({'java-design-patterns': data2})
56 df3 = pd.DataFrame({'Elasticsearch': data3})
57 df = pd.concat([df1,df2,df3], ignore_index=True, axis=1)
58 df.columns = ['RxJava', 'java-design-patterns', 'Elasticsearch']
59 # print(df)
60 sns.set_style("whitegrid")
61 ax = sns.boxplot(data=df)
62 ax.yaxis.label.set_size(18)
63 ax.xaxis.label.set_size(18)
64 ax.yaxis.set_tick_params(labelsize=16)
65 ax.xaxis.set_tick_params(labelsize=16)
66 plt.ylabel("index update time (s)")
67 # plt.show()
68
69 fig = ax.get_figure()
70 fig.set_size_inches(10, 5)
71 fig.savefig('../update_time.pdf', bbox_inches='tight')
363def boxplot(x, labels=None, ax=None, **kwargs):
364 fig = None
365 if ax is None:
366 fig, ax = plt.subplots(1, 1)
367
368 if labels is None and isinstance(x, pd.DataFrame):
369 labels = x.columns
370
371 ax.boxplot(x, vert=False)
372 _set_plot_options(ax, **kwargs)
373 global _last_axis_
374 _last_axis_ = ax
375 return fig, ax
176def plot(ax, detections):
177 _plot_column(ax, detections, column, **kwargs)

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