I try to use it as explained in the pandas example. Unfortunately, with my data set I get an overlap of the figure with the colormap. How can that be solved? (In other contexts plt.tight_layout() may help but not here.)
A solution increasing the width as much as needed, e.g. paxfig.set_figwidth(18), is undesired since it needs to much space.
import pandas as pd
import matplotlib.pyplot as plt
import paxplot
json_str = '{"$v_{m_{0}}$":{"0":1.05101414,"1":0.97541944,"2":1.02250952,"3":1.05724531,"4":0.91881114,"5":1.00289782,"6":1.02356087,"7":0.91879598,"8":0.91856527,"9":1.05471083,"10":1.03512956,"11":1.01495961,"12":0.99814463,"13":1.08194644,"14":1.00435071,"15":0.91008701,"16":1.02191995,"17":1.0104185,"18":1.05577619,"19":1.03793584},"$v_{m_{1}}$":{"0":1.08675354,"1":0.99289773,"2":1.0006575,"3":1.03279003,"4":1.04013416,"5":1.00186099,"6":0.94705512,"7":1.08785596,"8":0.9901675,"9":1.03153871,"10":1.00552627,"11":0.97142502,"12":1.0635523,"13":0.94439644,"14":1.04267524,"15":1.00328082,"16":0.96776328,"17":1.05307138,"18":1.06106298,"19":1.04153575},"$v_{m_{2}}$":{"0":1.06366783,"1":0.91104843,"2":1.06438557,"3":1.00671504,"4":1.05875128,"5":0.97205114,"6":1.05476759,"7":0.99542596,"8":0.95052276,"9":1.02192044,"10":0.9318766,"11":0.92399757,"12":1.01605039,"13":1.0046992,"14":1.02006368,"15":1.04490573,"16":0.95427917,"17":0.92809566,"18":1.01760408,"19":1.06606671},"$v_{m_{3}}$":{"0":1.07216311,"1":0.97654954,"2":1.03222464,"3":0.96508126,"4":0.92882952,"5":0.9553515,"6":1.02212038,"7":0.99203902,"8":1.0135808,"9":1.07826395,"10":1.0875509,"11":1.02785425,"12":1.03946075,"13":1.04979572,"14":1.04030671,"15":1.07928366,"16":0.94665728,"17":1.02104275,"18":1.04965773,"19":0.97794591},"$v_{m_{4}}$":{"0":0.96261164,"1":0.98230649,"2":0.99018279,"3":0.91334141,"4":1.0495412,"5":1.04518659,"6":1.07116521,"7":1.00761336,"8":0.95882059,"9":1.05051721,"10":0.95355408,"11":0.94120487,"12":0.91258196,"13":1.01900706,"14":0.94362856,"15":1.03923165,"16":0.99024211,"17":0.95139986,"18":1.00734866,"19":0.98286251},"results":{"0":-33488.121893849,"1":3980.888057873,"2":-11523.4361694497,"3":16582.4829596293,"4":-24886.4934994639,"5":-2551.3204885725,"6":-1097.4260832155,"7":4460.7742568187,"8":441.248979536,"9":-435.2766055767,"10":-19832.8660960374,"11":-19358.1526127029,"12":-37944.4309613923,"13":-12791.378116259,"14":-28921.1231681309,"15":3990.7823822596,"16":1037.0001667862,"17":-9150.0172480353,"18":-11273.0333321415,"19":22697.3994558519}}'
# Import data
df = pd.read_json(json_str)
cols = df.columns
# Create figure
paxfig = paxplot.pax_parallel(n_axes=len(cols))
paxfig.plot(df.to_numpy())
# Add labels
paxfig.set_labels(cols)
# Add colorbar
color_col = 5
paxfig.add_colorbar(
ax_idx=color_col,
cmap='viridis',
colorbar_kwargs={'label': cols[color_col]}
)
plt.show()
Dear @kravitsjacob,
thank you very much for this small but smart python package.
I try to use it as explained in the pandas example. Unfortunately, with my data set I get an overlap of the figure with the colormap. How can that be solved? (In other contexts
plt.tight_layout()may help but not here.)A solution increasing the width as much as needed, e.g.
paxfig.set_figwidth(18), is undesired since it needs to much space.The example code: