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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
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sns.__version__
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# Collective data
def sinplot(flip=1):
x = np.linspace(0, 14, 100)
for i in range(1, 7):
plt.plot(x, np.sin(x + i * .5) * (7 - i) * flip)
# Individual data
data = np.random.normal(size=(20, 6)) + np.arange(6) / 2
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# axis parameters
sns.axes_style()
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sns.set_style(style='whitegrid',
rc={'font.sans-setif':'Helvetica'}) # axis parameters can be passed in argument rc
sns.boxplot(data=data)
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# removing top and right axis splines using despline
sns.set_style('white')
sns.boxplot(data=data)
sns.despine() # despine arguments can control which side to be removed
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sns.boxplot(data=data)
sns.despine(trim=True)
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# axis_style helps to make temporarily changes when used with 'with'
with sns.axes_style('darkgrid'):
sns.violinplot(data=data)
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sns.set_style('white') # user-defined
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sns.set() # resetting all style parameters to default
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sns.violinplot(data=data) # verifying
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col = sns.color_palette(palette='hls', n_colors=10)
sns.set_palette(col)
sns.violinplot(data=data)
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Possible values are: Accent, Accent_r, Blues, Blues_r, BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens, Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy, RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn, autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat, gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r, gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, icefire, icefire_r, inferno, inferno_r, jet, jet_r, magma, magma_r, mako, mako_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, rocket, rocket_r, seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, terrain, terrain_r, viridis, viridis_r, vlag, vlag_r, winter, winter_r
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# Colors can also be passed in the hex format like: #fff
sns.set_palette(sns.color_palette(["#9b59b6", "#3498db", "#95a5a6", "#e74c3c", "#34495e", "#2ecc71"]))
sns.violinplot(data=data)
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# Sequential color maps
sns.set_palette(sns.color_palette("Blues"))
sns.violinplot(data=data)
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# Sequential cubehelix color maps -
# helpful to preserve the info when plots printed in black and white (useful for color-blinds)
sns.set_palette(sns.cubehelix_palette(reverse=True, light=0.95, dark=0.2, hue=0.5,
rot=0.6, # an arbitrary value between -1 and 1
start=2)) # an arbitrary value between 0 and 3
sns.violinplot(data=data)
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# light palette
sns.set_palette(sns.light_palette((0.22, 0.85, 0.125)))
sns.violinplot(data=data)
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# dark palette
sns.set_palette(sns.dark_palette((0.22, 0.85, 0.125)))
sns.violinplot(data=data)
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# divergent palette
sns.set_palette(sns.diverging_palette(8, 2200, n=6)) # First two arguments are in degrees
sns.violinplot(data=data)
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