concatenated pd.concat ( set1.assign (dataset'set1'), set2. If i =0:#if statement so only one of the plots has legend='full'įig.legend(bbox_to_anchor=(1, 0.7), loc=2, borderaxespad=0.) #Move the legend outside the plotĪ.legend_. The following should work in the latest version of seaborn (0.9.0) First we concatenate the two datasets into one and assign a dataset column which will allow us to preserve the information as to which row is from which dataset. ![]() Xy_labels = įor i,(x_label,y_label) in enumerate(xy_labels): Doing it properly is better than hacking your way to the solution. If this problem is arising out of an "uncoventional" way of plotting the type of figure I'm trying to make, then please let me know. Sadly neither of the answers that worked in that question work here. I had a previous question asking something similar, but that issue was solved by using seaborns scatterplot instead of the relplot. My aim is to keep the legend that is outside of the figure, remove the one thats inside the figure and also somehow stop the weird cropping that is cutting off the right side of the legend outside the figure. I can't figure out why two are being plotted and I havent been able to remove one of them. X = _to_unmasked_float_array(xconv).ravel()įile "C:\.\lib\site-packages\matplotlib\cbook\_init_.py", line 1289, in _to_unmasked_float_arrayįile "C:\.\lib\site-packages\numpy\core\_asarray.When I run the code shown below I get a figure containing 2 legends. Sns.lineplot(x='month_dt', y='balance', data=df2.reset_index(), color='red', markers=True, ax=ax2)įile "C:\.\lib\site-packages\seaborn\_decorators.py", line 46, in inner_fįile "C:\.\lib\site-packages\seaborn\relational.py", line 703, in lineplotįile "C:\.\lib\site-packages\seaborn\relational.py", line 529, in plotįile "C:\.\lib\site-packages\matplotlib\axes\_axes.py", line 1745, in plotįile "C:\.\lib\site-packages\matplotlib\axes\_base.py", line 1964, in add_lineįile "C:\.\lib\site-packages\matplotlib\axes\_base.py", line 1986, in _update_line_limitsįile "C:\.\lib\site-packages\matplotlib\lines.py", line 1011, in get_pathįile "C:\.\lib\site-packages\matplotlib\lines.py", line 653, in recache Sns.barplot(x='month_dt', y='amount', data=df2.reset_index(), palette="Blues_d") The issue is similar to this: Secondary axis with twinx (): how to add to legend. ![]() Yet, I am failing plot it with a single legend containing the elements of both lineplots. I would like to plot two dataframes with a 'long' representation, and differing axis, to one plot using sns.lineplot (). This means that the function allows you to map to a figure, rather than an. Merging legends of different lineplots using seaborn. The Seaborn relplot () function provides a figure-level interface for creating relational plots. import seaborn as snsĭf1 = pd.DataFrame() The function provides access to the following axes-level functions: Seaborn scatterplot () to create scatter plots (the default) Seaborn lineplot () to create line charts. ![]() The scatter plot includes several different values. However, when I do df1.plot(kind='bar'.) followed by df1.plot(kind='line'., secondary_y=True), I get similar outcome as below, i.e., no line chart but no error. A scatter plot is a visualization method used for to compare the values of the two variables with respect to some criterion. I am trying to plot a bar chart and a line chart as a single plot and inclined to use seaborn due to its nice formatting features.
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