In [1]:
import seaborn as sns
penguins = sns.load_dataset("penguins")
penguins
In [2]:
# Axes-level
sns.histplot(data=penguins, x="flipper_length_mm", hue="species", multiple="stack")
Out[2]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c2e7d4850>
In [3]:
# Figure-level
sns.displot(data=penguins, x="flipper_length_mm", hue="species", multiple="stack")
Out[3]:
<seaborn.axisgrid.FacetGrid at 0x7f8c2e4bd990>
In [4]:
# Multiples figuras (Figure-level)
sns.displot(data=penguins, x="flipper_length_mm", hue="species", col="species")
Out[4]:
<seaborn.axisgrid.FacetGrid at 0x7f8c24eba390>
In [6]:
# Axis level
import matplotlib.pyplot as plt
f, axs = plt.subplots(1, 2, figsize=(8, 4), gridspec_kw=dict(width_ratios=[4, 3]))
sns.scatterplot(data=penguins, x="flipper_length_mm", y="bill_length_mm", hue="species", ax=axs[0])
sns.histplot(data=penguins, x="species", hue="species", shrink=.8, alpha=.8, legend=False, ax=axs[1])
f.tight_layout()
In [9]:
# Figure-level
tips = sns.load_dataset("tips")
g = sns.relplot(data=tips, x="total_bill", y="tip")
In [10]:
# Lineplot
flights = sns.load_dataset("flights")
flights.head()
Out[10]:
| year | month | passengers | |
|---|---|---|---|
| 0 | 1949 | Jan | 112 |
| 1 | 1949 | Feb | 118 |
| 2 | 1949 | Mar | 132 |
| 3 | 1949 | Apr | 129 |
| 4 | 1949 | May | 121 |
In [11]:
# Axis-level
may_flights = flights.query("month == 'May'")
sns.lineplot(data=may_flights, x="year", y="passengers")
Out[11]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c249df3d0>
In [14]:
# Axis-level
flights_wide = flights.pivot("year", "month", "passengers")
flights_wide.head()
sns.lineplot(data=flights_wide)
Out[14]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c24cec190>
In [15]:
tips = sns.load_dataset("tips")
tips.head()
Out[15]:
| total_bill | tip | sex | smoker | day | time | size | |
|---|---|---|---|---|---|---|---|
| 0 | 16.99 | 1.01 | Female | No | Sun | Dinner | 2 |
| 1 | 10.34 | 1.66 | Male | No | Sun | Dinner | 3 |
| 2 | 21.01 | 3.50 | Male | No | Sun | Dinner | 3 |
| 3 | 23.68 | 3.31 | Male | No | Sun | Dinner | 2 |
| 4 | 24.59 | 3.61 | Female | No | Sun | Dinner | 4 |
In [16]:
# Scatterplot
sns.scatterplot(data=tips, x="total_bill", y="tip")
Out[16]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c2482f150>
In [17]:
sns.scatterplot(data=tips, x="total_bill", y="tip", hue="time")
Out[17]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c247fc390>
In [18]:
# Barplot
import seaborn as sns
sns.set_theme(style="whitegrid")
tips = sns.load_dataset("tips")
ax = sns.barplot(x="day", y="total_bill", data=tips)
In [19]:
sns.barplot(x="day", y="total_bill", hue="sex", data=tips)
Out[19]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c246fea50>
In [20]:
# Histograma
penguins = sns.load_dataset("penguins")
# Axis-level
sns.histplot(data=penguins, x="flipper_length_mm")
Out[20]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c24669090>
In [ ]:
In [21]:
# Axis-level
sns.histplot(data=penguins, x="flipper_length_mm", hue="species")
Out[21]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c245809d0>
In [22]:
import seaborn as sns
sns.set_theme(style="whitegrid")
tips = sns.load_dataset("tips")
# Axis-level
ax = sns.boxplot(x=tips["total_bill"])
In [23]:
# Axis-level
ax = sns.boxplot(x="day", y="total_bill", data=tips)
In [24]:
from google.colab import drive
import os
drive.mount('/content/gdrive')
%cd '/content/gdrive/MyDrive/'
Mounted at /content/gdrive /content/gdrive/MyDrive
In [26]:
import pandas as pd
df_lluvias = pd.read_csv('pune_1965_to_2002.csv')
df_lluvias.head()
Out[26]:
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1965 | 0.029 | 0.069 | 0.000 | 21.667 | 17.859 | 102.111 | 606.071 | 402.521 | 69.511 | 5.249 | 16.232 | 22.075 |
| 1 | 1966 | 0.905 | 0.000 | 0.000 | 2.981 | 63.008 | 94.088 | 481.942 | 59.386 | 150.624 | 1.308 | 41.214 | 4.132 |
| 2 | 1967 | 0.248 | 3.390 | 1.320 | 13.482 | 11.116 | 251.314 | 780.006 | 181.069 | 183.757 | 50.404 | 8.393 | 37.685 |
| 3 | 1968 | 0.318 | 3.035 | 1.704 | 23.307 | 7.441 | 179.872 | 379.354 | 171.979 | 219.884 | 73.997 | 23.326 | 2.020 |
| 4 | 1969 | 0.248 | 2.524 | 0.334 | 4.569 | 6.213 | 393.682 | 678.354 | 397.335 | 205.413 | 24.014 | 24.385 | 1.951 |
In [27]:
df_lluvias.index = df_lluvias['Year']
df_lluvias = df_lluvias.drop('Year', axis='columns')
df_lluvias
Out[27]:
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | ||||||||||||
| 1965 | 0.029 | 0.069 | 0.000 | 21.667 | 17.859 | 102.111 | 606.071 | 402.521 | 69.511 | 5.249 | 16.232 | 22.075 |
| 1966 | 0.905 | 0.000 | 0.000 | 2.981 | 63.008 | 94.088 | 481.942 | 59.386 | 150.624 | 1.308 | 41.214 | 4.132 |
| 1967 | 0.248 | 3.390 | 1.320 | 13.482 | 11.116 | 251.314 | 780.006 | 181.069 | 183.757 | 50.404 | 8.393 | 37.685 |
| 1968 | 0.318 | 3.035 | 1.704 | 23.307 | 7.441 | 179.872 | 379.354 | 171.979 | 219.884 | 73.997 | 23.326 | 2.020 |
| 1969 | 0.248 | 2.524 | 0.334 | 4.569 | 6.213 | 393.682 | 678.354 | 397.335 | 205.413 | 24.014 | 24.385 | 1.951 |
| 1970 | 0.070 | 0.000 | 0.001 | 16.218 | 68.036 | 300.546 | 330.502 | 283.476 | 158.640 | 115.758 | 0.260 | 0.000 |
| 1971 | 0.000 | 0.000 | 0.000 | 0.812 | 57.691 | 297.187 | 122.195 | 372.693 | 286.056 | 39.424 | 0.554 | 0.000 |
| 1972 | 0.000 | 0.029 | 0.000 | 5.982 | 19.101 | 132.413 | 338.484 | 68.741 | 120.415 | 1.078 | 24.089 | 0.143 |
| 1973 | 0.000 | 2.969 | 0.234 | 3.925 | 14.978 | 304.484 | 696.024 | 256.932 | 183.206 | 101.805 | 5.516 | 0.000 |
| 1974 | 0.000 | 0.000 | 6.427 | 16.864 | 51.209 | 148.697 | 405.359 | 319.651 | 288.533 | 188.876 | 0.260 | 0.000 |
| 1975 | 0.333 | 0.585 | 0.000 | 0.061 | 30.651 | 359.369 | 474.143 | 404.372 | 400.001 | 105.560 | 2.763 | 0.000 |
| 1976 | 0.000 | 0.000 | 5.993 | 4.454 | 3.577 | 773.737 | 545.379 | 436.912 | 108.459 | 13.611 | 44.887 | 4.158 |
| 1977 | 0.000 | 2.981 | 3.289 | 4.432 | 32.130 | 319.716 | 407.246 | 129.678 | 89.150 | 83.193 | 122.809 | 7.530 |
| 1978 | 0.061 | 4.197 | 4.004 | 44.623 | 52.950 | 403.860 | 192.399 | 239.066 | 139.119 | 26.711 | 60.996 | 0.597 |
| 1979 | 0.000 | 0.386 | 3.343 | 0.126 | 6.860 | 342.324 | 403.925 | 451.153 | 440.381 | 19.084 | 101.597 | 0.008 |
| 1980 | 0.008 | 0.000 | 8.329 | 28.764 | 4.816 | 349.975 | 344.268 | 404.191 | 94.127 | 10.826 | 15.533 | 7.348 |
| 1981 | 2.257 | 2.121 | 0.445 | 10.817 | 17.193 | 360.788 | 507.155 | 217.037 | 361.165 | 80.018 | 3.715 | 0.050 |
| 1982 | 0.000 | 0.560 | 0.000 | 14.585 | 50.468 | 145.343 | 186.691 | 194.307 | 239.402 | 49.257 | 62.474 | 0.000 |
| 1983 | 0.395 | 0.000 | 0.000 | 0.061 | 1.056 | 225.847 | 390.041 | 537.764 | 428.050 | 30.771 | 1.008 | 1.955 |
| 1984 | 0.000 | 0.391 | 5.772 | 4.997 | 0.508 | 367.058 | 621.607 | 138.006 | 229.276 | 167.164 | 3.786 | 0.396 |
| 1985 | 0.025 | 0.000 | 0.922 | 11.512 | 6.458 | 234.930 | 325.191 | 297.802 | 88.877 | 139.919 | 108.561 | 0.655 |
| 1986 | 0.000 | 1.229 | 0.000 | 4.567 | 22.547 | 635.977 | 202.570 | 247.395 | 105.095 | 3.746 | 7.457 | 37.386 |
| 1987 | 3.013 | 8.410 | 1.367 | 3.864 | 80.539 | 200.950 | 172.864 | 477.113 | 44.574 | 150.179 | 18.281 | 36.845 |
| 1988 | 0.000 | 0.000 | 0.000 | 43.570 | 12.862 | 186.431 | 740.613 | 211.781 | 613.522 | 12.375 | 0.458 | 1.037 |
| 1989 | 0.008 | 0.000 | 9.619 | 20.774 | 20.176 | 425.984 | 484.451 | 177.257 | 236.803 | 23.424 | 0.585 | 0.943 |
| 1990 | 0.004 | 0.531 | 0.789 | 0.274 | 78.384 | 423.314 | 583.557 | 451.707 | 69.182 | 115.349 | 41.888 | 1.315 |
| 1991 | 0.004 | 0.071 | 0.972 | 27.964 | 30.405 | 565.900 | 479.719 | 193.423 | 178.727 | 4.135 | 15.936 | 0.000 |
| 1992 | 0.000 | 0.000 | 0.000 | 3.165 | 9.580 | 227.180 | 321.551 | 428.764 | 287.582 | 40.079 | 5.982 | 0.000 |
| 1993 | 0.000 | 0.078 | 1.211 | 2.062 | 3.248 | 234.068 | 450.088 | 150.278 | 101.928 | 225.904 | 6.240 | 35.147 |
| 1994 | 0.879 | 0.325 | 2.415 | 16.823 | 33.378 | 749.030 | 707.986 | 230.898 | 115.509 | 116.348 | 14.098 | 0.000 |
| 1995 | 0.695 | 0.000 | 1.770 | 25.949 | 23.964 | 163.515 | 501.461 | 114.206 | 288.262 | 84.359 | 4.866 | 0.021 |
| 1996 | 0.016 | 2.779 | 0.087 | 6.318 | 5.134 | 453.607 | 558.586 | 212.489 | 203.642 | 176.471 | 12.202 | 0.000 |
| 1997 | 1.284 | 0.000 | 0.747 | 23.912 | 4.664 | 673.831 | 422.913 | 541.579 | 60.477 | 31.050 | 65.392 | 18.991 |
| 1998 | 0.008 | 2.671 | 0.073 | 0.377 | 15.717 | 238.609 | 590.663 | 362.357 | 243.444 | 96.324 | 52.965 | 0.035 |
| 1999 | 0.000 | 1.431 | 0.000 | 0.642 | 35.828 | 415.471 | 277.137 | 98.616 | 225.962 | 180.300 | 0.263 | 0.033 |
| 2000 | 0.000 | 0.170 | 0.000 | 1.193 | 26.237 | 371.328 | 265.417 | 220.814 | 147.196 | 38.246 | 15.274 | 8.187 |
| 2001 | 0.147 | 0.000 | 2.178 | 1.528 | 7.860 | 247.982 | 279.547 | 189.404 | 158.025 | 135.518 | 23.633 | 0.003 |
| 2002 | 0.231 | 0.911 | 0.388 | 53.266 | 18.430 | 509.145 | 84.936 | 257.205 | 78.269 | 21.486 | 0.614 | 0.000 |
In [29]:
fig, ax = plt.subplots(nrows=3, ncols=1, figsize=(12, 5), sharex=True, sharey=True)
ax[0].plot(df_lluvias.index, df_lluvias['Jan'], label='Precipitaciones de enero')
ax[1].plot(df_lluvias.index, df_lluvias['Feb'], label='Precipitaciones de febrero', color='C1')
ax[2].plot(df_lluvias.index, df_lluvias['Mar'], label='Precipitaciones de marzo', color='C2')
ax[0].set_title('Precipitaciones de los primeros tres meses del año')
ax[2].set_xlabel('Año')
ax[1].set_ylabel('Precipitación (mm.)')
ax[0].legend()
ax[1].legend()
ax[2].legend()
Out[29]:
<matplotlib.legend.Legend at 0x7f8c247e2490>
In [30]:
# FacetGrid
tips = sns.load_dataset("tips")
g = sns.FacetGrid(tips, col="time", row="sex")
g.map(sns.scatterplot, "total_bill", "tip")
Out[30]:
<seaborn.axisgrid.FacetGrid at 0x7f8c24aa7210>
In [31]:
g = sns.FacetGrid(tips, col="time", hue="sex")
g.map_dataframe(sns.scatterplot, x="total_bill", y="tip")
g.add_legend()
Out[31]:
<seaborn.axisgrid.FacetGrid at 0x7f8c243d5f50>
In [33]:
import matplotlib as mpl
mpl.rcParams['axes.titleweight'] = 'bold'
mpl.rcParams['axes.titlelocation'] = 'left'
mpl.rcParams['axes.titlecolor'] = 'firebrick'
mpl.rcParams['axes.labelcolor'] = 'blue'
mpl.rcParams['axes.labelsize'] = '10'
mpl.rcParams['axes.labelweight'] = 'light'
mpl.rcParams['axes.linewidth'] = '1'
mpl.rcParams['grid.color'] = 'black'
mpl.rcParams['grid.linestyle'] = '-.'
mpl.rcParams['grid.linewidth'] = '2'
fig, ax = plt.subplots(figsize=(7, 4))
ax.scatter(df_lluvias['Aug'], df_lluvias['Sep'], c=df_lluvias.index)
ax.set_title('(Título rojo en negrita)')
ax.set_xlabel('(Etiqueta eje horiz.)')
ax.set_ylabel('(Etiqueta eje vert.)')
Out[33]:
Text(0, 0.5, '(Etiqueta eje vert.)')
In [34]:
# Restaurar por defecto
mpl.rcParams.update(mpl.rcParamsDefault)
In [35]:
mpl.rcParams.keys()
Out[35]:
KeysView(RcParams({'_internal.classic_mode': False,
'agg.path.chunksize': 0,
'animation.avconv_args': [],
'animation.avconv_path': 'avconv',
'animation.bitrate': -1,
'animation.codec': 'h264',
'animation.convert_args': [],
'animation.convert_path': 'convert',
'animation.embed_limit': 20.0,
'animation.ffmpeg_args': [],
'animation.ffmpeg_path': 'ffmpeg',
'animation.frame_format': 'png',
'animation.html': 'none',
'animation.html_args': [],
'animation.writer': 'ffmpeg',
'axes.autolimit_mode': 'data',
'axes.axisbelow': 'line',
'axes.edgecolor': 'black',
'axes.facecolor': 'white',
'axes.formatter.limits': [-5, 6],
'axes.formatter.min_exponent': 0,
'axes.formatter.offset_threshold': 4,
'axes.formatter.use_locale': False,
'axes.formatter.use_mathtext': False,
'axes.formatter.useoffset': True,
'axes.grid': False,
'axes.grid.axis': 'both',
'axes.grid.which': 'major',
'axes.labelcolor': 'black',
'axes.labelpad': 4.0,
'axes.labelsize': 'medium',
'axes.labelweight': 'normal',
'axes.linewidth': 0.8,
'axes.prop_cycle': cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']),
'axes.spines.bottom': True,
'axes.spines.left': True,
'axes.spines.right': True,
'axes.spines.top': True,
'axes.titlecolor': 'auto',
'axes.titlelocation': 'center',
'axes.titlepad': 6.0,
'axes.titlesize': 'large',
'axes.titleweight': 'normal',
'axes.unicode_minus': True,
'axes.xmargin': 0.05,
'axes.ymargin': 0.05,
'axes3d.grid': True,
'backend': 'module://ipykernel.pylab.backend_inline',
'backend_fallback': True,
'boxplot.bootstrap': None,
'boxplot.boxprops.color': 'black',
'boxplot.boxprops.linestyle': '-',
'boxplot.boxprops.linewidth': 1.0,
'boxplot.capprops.color': 'black',
'boxplot.capprops.linestyle': '-',
'boxplot.capprops.linewidth': 1.0,
'boxplot.flierprops.color': 'black',
'boxplot.flierprops.linestyle': 'none',
'boxplot.flierprops.linewidth': 1.0,
'boxplot.flierprops.marker': 'o',
'boxplot.flierprops.markeredgecolor': 'black',
'boxplot.flierprops.markeredgewidth': 1.0,
'boxplot.flierprops.markerfacecolor': 'none',
'boxplot.flierprops.markersize': 6.0,
'boxplot.meanline': False,
'boxplot.meanprops.color': 'C2',
'boxplot.meanprops.linestyle': '--',
'boxplot.meanprops.linewidth': 1.0,
'boxplot.meanprops.marker': '^',
'boxplot.meanprops.markeredgecolor': 'C2',
'boxplot.meanprops.markerfacecolor': 'C2',
'boxplot.meanprops.markersize': 6.0,
'boxplot.medianprops.color': 'C1',
'boxplot.medianprops.linestyle': '-',
'boxplot.medianprops.linewidth': 1.0,
'boxplot.notch': False,
'boxplot.patchartist': False,
'boxplot.showbox': True,
'boxplot.showcaps': True,
'boxplot.showfliers': True,
'boxplot.showmeans': False,
'boxplot.vertical': True,
'boxplot.whiskerprops.color': 'black',
'boxplot.whiskerprops.linestyle': '-',
'boxplot.whiskerprops.linewidth': 1.0,
'boxplot.whiskers': 1.5,
'contour.corner_mask': True,
'contour.negative_linestyle': 'dashed',
'datapath': '/usr/local/lib/python3.7/dist-packages/matplotlib/mpl-data',
'date.autoformatter.day': '%Y-%m-%d',
'date.autoformatter.hour': '%m-%d %H',
'date.autoformatter.microsecond': '%M:%S.%f',
'date.autoformatter.minute': '%d %H:%M',
'date.autoformatter.month': '%Y-%m',
'date.autoformatter.second': '%H:%M:%S',
'date.autoformatter.year': '%Y',
'docstring.hardcopy': False,
'errorbar.capsize': 0.0,
'figure.autolayout': False,
'figure.constrained_layout.h_pad': 0.04167,
'figure.constrained_layout.hspace': 0.02,
'figure.constrained_layout.use': False,
'figure.constrained_layout.w_pad': 0.04167,
'figure.constrained_layout.wspace': 0.02,
'figure.dpi': 100.0,
'figure.edgecolor': 'white',
'figure.facecolor': 'white',
'figure.figsize': [6.4, 4.8],
'figure.frameon': True,
'figure.max_open_warning': 20,
'figure.subplot.bottom': 0.11,
'figure.subplot.hspace': 0.2,
'figure.subplot.left': 0.125,
'figure.subplot.right': 0.9,
'figure.subplot.top': 0.88,
'figure.subplot.wspace': 0.2,
'figure.titlesize': 'large',
'figure.titleweight': 'normal',
'font.cursive': ['Apple Chancery',
'Textile',
'Zapf Chancery',
'Sand',
'Script MT',
'Felipa',
'cursive'],
'font.family': ['sans-serif'],
'font.fantasy': ['Comic Neue',
'Comic Sans MS',
'Chicago',
'Charcoal',
'Impact',
'Western',
'Humor Sans',
'xkcd',
'fantasy'],
'font.monospace': ['DejaVu Sans Mono',
'Bitstream Vera Sans Mono',
'Computer Modern Typewriter',
'Andale Mono',
'Nimbus Mono L',
'Courier New',
'Courier',
'Fixed',
'Terminal',
'monospace'],
'font.sans-serif': ['DejaVu Sans',
'Bitstream Vera Sans',
'Computer Modern Sans Serif',
'Lucida Grande',
'Verdana',
'Geneva',
'Lucid',
'Arial',
'Helvetica',
'Avant Garde',
'sans-serif'],
'font.serif': ['DejaVu Serif',
'Bitstream Vera Serif',
'Computer Modern Roman',
'New Century Schoolbook',
'Century Schoolbook L',
'Utopia',
'ITC Bookman',
'Bookman',
'Nimbus Roman No9 L',
'Times New Roman',
'Times',
'Palatino',
'Charter',
'serif'],
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'hatch.color': 'black',
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'hist.bins': 10,
'image.aspect': 'equal',
'image.cmap': 'viridis',
'image.composite_image': True,
'image.interpolation': 'antialiased',
'image.lut': 256,
'image.origin': 'upper',
'image.resample': True,
'interactive': False,
'keymap.all_axes': ['a'],
'keymap.back': ['left', 'c', 'backspace', 'MouseButton.BACK'],
'keymap.copy': ['ctrl+c', 'cmd+c'],
'keymap.forward': ['right', 'v', 'MouseButton.FORWARD'],
'keymap.fullscreen': ['f', 'ctrl+f'],
'keymap.grid': ['g'],
'keymap.grid_minor': ['G'],
'keymap.help': ['f1'],
'keymap.home': ['h', 'r', 'home'],
'keymap.pan': ['p'],
'keymap.quit': ['ctrl+w', 'cmd+w', 'q'],
'keymap.quit_all': ['W', 'cmd+W', 'Q'],
'keymap.save': ['s', 'ctrl+s'],
'keymap.xscale': ['k', 'L'],
'keymap.yscale': ['l'],
'keymap.zoom': ['o'],
'legend.borderaxespad': 0.5,
'legend.borderpad': 0.4,
'legend.columnspacing': 2.0,
'legend.edgecolor': '0.8',
'legend.facecolor': 'inherit',
'legend.fancybox': True,
'legend.fontsize': 'medium',
'legend.framealpha': 0.8,
'legend.frameon': True,
'legend.handleheight': 0.7,
'legend.handlelength': 2.0,
'legend.handletextpad': 0.8,
'legend.labelspacing': 0.5,
'legend.loc': 'best',
'legend.markerscale': 1.0,
'legend.numpoints': 1,
'legend.scatterpoints': 1,
'legend.shadow': False,
'legend.title_fontsize': None,
'lines.antialiased': True,
'lines.color': 'C0',
'lines.dash_capstyle': 'butt',
'lines.dash_joinstyle': 'round',
'lines.dashdot_pattern': [6.4, 1.6, 1.0, 1.6],
'lines.dashed_pattern': [3.7, 1.6],
'lines.dotted_pattern': [1.0, 1.65],
'lines.linestyle': '-',
'lines.linewidth': 1.5,
'lines.marker': 'None',
'lines.markeredgecolor': 'auto',
'lines.markeredgewidth': 1.0,
'lines.markerfacecolor': 'auto',
'lines.markersize': 6.0,
'lines.scale_dashes': True,
'lines.solid_capstyle': 'projecting',
'lines.solid_joinstyle': 'round',
'markers.fillstyle': 'full',
'mathtext.bf': 'sans:bold',
'mathtext.cal': 'cursive',
'mathtext.default': 'it',
'mathtext.fallback_to_cm': True,
'mathtext.fontset': 'dejavusans',
'mathtext.it': 'sans:italic',
'mathtext.rm': 'sans',
'mathtext.sf': 'sans',
'mathtext.tt': 'monospace',
'mpl_toolkits.legacy_colorbar': True,
'patch.antialiased': True,
'patch.edgecolor': 'black',
'patch.facecolor': 'C0',
'patch.force_edgecolor': False,
'patch.linewidth': 1.0,
'path.effects': [],
'path.simplify': True,
'path.simplify_threshold': 0.1111111111111111,
'path.sketch': None,
'path.snap': True,
'pdf.compression': 6,
'pdf.fonttype': 3,
'pdf.inheritcolor': False,
'pdf.use14corefonts': False,
'pgf.preamble': '',
'pgf.rcfonts': True,
'pgf.texsystem': 'xelatex',
'polaraxes.grid': True,
'ps.distiller.res': 6000,
'ps.fonttype': 3,
'ps.papersize': 'letter',
'ps.useafm': False,
'ps.usedistiller': None,
'savefig.bbox': None,
'savefig.directory': '~',
'savefig.dpi': 'figure',
'savefig.edgecolor': 'white',
'savefig.facecolor': 'white',
'savefig.format': 'png',
'savefig.frameon': True,
'savefig.jpeg_quality': 95,
'savefig.orientation': 'portrait',
'savefig.pad_inches': 0.1,
'savefig.transparent': False,
'scatter.edgecolors': 'face',
'scatter.marker': 'o',
'svg.fonttype': 'path',
'svg.hashsalt': None,
'svg.image_inline': True,
'text.antialiased': True,
'text.color': 'black',
'text.hinting': 'auto',
'text.hinting_factor': 8,
'text.kerning_factor': 0,
'text.latex.preamble': '',
'text.latex.preview': False,
'text.latex.unicode': True,
'text.usetex': False,
'timezone': 'UTC',
'tk.window_focus': False,
'toolbar': 'toolbar2',
'verbose.fileo': 'sys.stdout',
'verbose.level': 'silent',
'webagg.address': '127.0.0.1',
'webagg.open_in_browser': True,
'webagg.port': 8988,
'webagg.port_retries': 50,
'xtick.alignment': 'center',
'xtick.bottom': True,
'xtick.color': 'black',
'xtick.direction': 'out',
'xtick.labelbottom': True,
'xtick.labelsize': 'medium',
'xtick.labeltop': False,
'xtick.major.bottom': True,
'xtick.major.pad': 3.5,
'xtick.major.size': 3.5,
'xtick.major.top': True,
'xtick.major.width': 0.8,
'xtick.minor.bottom': True,
'xtick.minor.pad': 3.4,
'xtick.minor.size': 2.0,
'xtick.minor.top': True,
'xtick.minor.visible': False,
'xtick.minor.width': 0.6,
'xtick.top': False,
'ytick.alignment': 'center_baseline',
'ytick.color': 'black',
'ytick.direction': 'out',
'ytick.labelleft': True,
'ytick.labelright': False,
'ytick.labelsize': 'medium',
'ytick.left': True,
'ytick.major.left': True,
'ytick.major.pad': 3.5,
'ytick.major.right': True,
'ytick.major.size': 3.5,
'ytick.major.width': 0.8,
'ytick.minor.left': True,
'ytick.minor.pad': 3.4,
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'ytick.minor.size': 2.0,
'ytick.minor.visible': False,
'ytick.minor.width': 0.6,
'ytick.right': False}))
In [66]:
mpl.rcParams
Out[66]:
RcParams({'_internal.classic_mode': False,
'agg.path.chunksize': 0,
'animation.avconv_args': [],
'animation.avconv_path': 'avconv',
'animation.bitrate': -1,
'animation.codec': 'h264',
'animation.convert_args': [],
'animation.convert_path': 'convert',
'animation.embed_limit': 20.0,
'animation.ffmpeg_args': [],
'animation.ffmpeg_path': 'ffmpeg',
'animation.frame_format': 'png',
'animation.html': 'none',
'animation.html_args': [],
'animation.writer': 'ffmpeg',
'axes.autolimit_mode': 'data',
'axes.axisbelow': True,
'axes.edgecolor': 'white',
'axes.facecolor': '#EAEAF2',
'axes.formatter.limits': [-5, 6],
'axes.formatter.min_exponent': 0,
'axes.formatter.offset_threshold': 4,
'axes.formatter.use_locale': False,
'axes.formatter.use_mathtext': False,
'axes.formatter.useoffset': True,
'axes.grid': True,
'axes.grid.axis': 'both',
'axes.grid.which': 'major',
'axes.labelcolor': 'red',
'axes.labelpad': 4.0,
'axes.labelsize': 'medium',
'axes.labelweight': 'normal',
'axes.linewidth': 0.8,
'axes.prop_cycle': cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']),
'axes.spines.bottom': True,
'axes.spines.left': True,
'axes.spines.right': True,
'axes.spines.top': True,
'axes.titlecolor': 'auto',
'axes.titlelocation': 'center',
'axes.titlepad': 6.0,
'axes.titlesize': 'large',
'axes.titleweight': 'normal',
'axes.unicode_minus': True,
'axes.xmargin': 0.05,
'axes.ymargin': 0.05,
'axes3d.grid': True,
'backend': 'module://ipykernel.pylab.backend_inline',
'backend_fallback': True,
'boxplot.bootstrap': None,
'boxplot.boxprops.color': 'black',
'boxplot.boxprops.linestyle': '-',
'boxplot.boxprops.linewidth': 1.0,
'boxplot.capprops.color': 'black',
'boxplot.capprops.linestyle': '-',
'boxplot.capprops.linewidth': 1.0,
'boxplot.flierprops.color': 'black',
'boxplot.flierprops.linestyle': 'none',
'boxplot.flierprops.linewidth': 1.0,
'boxplot.flierprops.marker': 'o',
'boxplot.flierprops.markeredgecolor': 'black',
'boxplot.flierprops.markeredgewidth': 1.0,
'boxplot.flierprops.markerfacecolor': 'none',
'boxplot.flierprops.markersize': 6.0,
'boxplot.meanline': False,
'boxplot.meanprops.color': 'C2',
'boxplot.meanprops.linestyle': '--',
'boxplot.meanprops.linewidth': 1.0,
'boxplot.meanprops.marker': '^',
'boxplot.meanprops.markeredgecolor': 'C2',
'boxplot.meanprops.markerfacecolor': 'C2',
'boxplot.meanprops.markersize': 6.0,
'boxplot.medianprops.color': 'C1',
'boxplot.medianprops.linestyle': '-',
'boxplot.medianprops.linewidth': 1.0,
'boxplot.notch': False,
'boxplot.patchartist': False,
'boxplot.showbox': True,
'boxplot.showcaps': True,
'boxplot.showfliers': True,
'boxplot.showmeans': False,
'boxplot.vertical': True,
'boxplot.whiskerprops.color': 'black',
'boxplot.whiskerprops.linestyle': '-',
'boxplot.whiskerprops.linewidth': 1.0,
'boxplot.whiskers': 1.5,
'contour.corner_mask': True,
'contour.negative_linestyle': 'dashed',
'datapath': '/usr/local/lib/python3.7/dist-packages/matplotlib/mpl-data',
'date.autoformatter.day': '%Y-%m-%d',
'date.autoformatter.hour': '%m-%d %H',
'date.autoformatter.microsecond': '%M:%S.%f',
'date.autoformatter.minute': '%d %H:%M',
'date.autoformatter.month': '%Y-%m',
'date.autoformatter.second': '%H:%M:%S',
'date.autoformatter.year': '%Y',
'docstring.hardcopy': False,
'errorbar.capsize': 0.0,
'figure.autolayout': False,
'figure.constrained_layout.h_pad': 0.04167,
'figure.constrained_layout.hspace': 0.02,
'figure.constrained_layout.use': False,
'figure.constrained_layout.w_pad': 0.04167,
'figure.constrained_layout.wspace': 0.02,
'figure.dpi': 100.0,
'figure.edgecolor': 'white',
'figure.facecolor': 'white',
'figure.figsize': [6.4, 4.8],
'figure.frameon': True,
'figure.max_open_warning': 20,
'figure.subplot.bottom': 0.11,
'figure.subplot.hspace': 0.2,
'figure.subplot.left': 0.125,
'figure.subplot.right': 0.9,
'figure.subplot.top': 0.88,
'figure.subplot.wspace': 0.2,
'figure.titlesize': 'large',
'figure.titleweight': 'normal',
'font.cursive': ['Apple Chancery',
'Textile',
'Zapf Chancery',
'Sand',
'Script MT',
'Felipa',
'cursive'],
'font.family': ['sans-serif'],
'font.fantasy': ['Comic Neue',
'Comic Sans MS',
'Chicago',
'Charcoal',
'Impact',
'Western',
'Humor Sans',
'xkcd',
'fantasy'],
'font.monospace': ['DejaVu Sans Mono',
'Bitstream Vera Sans Mono',
'Computer Modern Typewriter',
'Andale Mono',
'Nimbus Mono L',
'Courier New',
'Courier',
'Fixed',
'Terminal',
'monospace'],
'font.sans-serif': ['Arial',
'DejaVu Sans',
'Liberation Sans',
'Bitstream Vera Sans',
'sans-serif'],
'font.serif': ['DejaVu Serif',
'Bitstream Vera Serif',
'Computer Modern Roman',
'New Century Schoolbook',
'Century Schoolbook L',
'Utopia',
'ITC Bookman',
'Bookman',
'Nimbus Roman No9 L',
'Times New Roman',
'Times',
'Palatino',
'Charter',
'serif'],
'font.size': 10.0,
'font.stretch': 'normal',
'font.style': 'normal',
'font.variant': 'normal',
'font.weight': 'normal',
'grid.alpha': 1.0,
'grid.color': 'purple',
'grid.linestyle': '--',
'grid.linewidth': 0.8,
'hatch.color': 'black',
'hatch.linewidth': 1.0,
'hist.bins': 10,
'image.aspect': 'equal',
'image.cmap': 'rocket',
'image.composite_image': True,
'image.interpolation': 'antialiased',
'image.lut': 256,
'image.origin': 'upper',
'image.resample': True,
'interactive': False,
'keymap.all_axes': ['a'],
'keymap.back': ['left', 'c', 'backspace', 'MouseButton.BACK'],
'keymap.copy': ['ctrl+c', 'cmd+c'],
'keymap.forward': ['right', 'v', 'MouseButton.FORWARD'],
'keymap.fullscreen': ['f', 'ctrl+f'],
'keymap.grid': ['g'],
'keymap.grid_minor': ['G'],
'keymap.help': ['f1'],
'keymap.home': ['h', 'r', 'home'],
'keymap.pan': ['p'],
'keymap.quit': ['ctrl+w', 'cmd+w', 'q'],
'keymap.quit_all': ['W', 'cmd+W', 'Q'],
'keymap.save': ['s', 'ctrl+s'],
'keymap.xscale': ['k', 'L'],
'keymap.yscale': ['l'],
'keymap.zoom': ['o'],
'legend.borderaxespad': 0.5,
'legend.borderpad': 0.4,
'legend.columnspacing': 2.0,
'legend.edgecolor': '0.8',
'legend.facecolor': 'inherit',
'legend.fancybox': True,
'legend.fontsize': 'medium',
'legend.framealpha': 0.8,
'legend.frameon': True,
'legend.handleheight': 0.7,
'legend.handlelength': 2.0,
'legend.handletextpad': 0.8,
'legend.labelspacing': 0.5,
'legend.loc': 'best',
'legend.markerscale': 1.0,
'legend.numpoints': 1,
'legend.scatterpoints': 1,
'legend.shadow': False,
'legend.title_fontsize': None,
'lines.antialiased': True,
'lines.color': 'C0',
'lines.dash_capstyle': 'butt',
'lines.dash_joinstyle': 'round',
'lines.dashdot_pattern': [6.4, 1.6, 1.0, 1.6],
'lines.dashed_pattern': [3.7, 1.6],
'lines.dotted_pattern': [1.0, 1.65],
'lines.linestyle': '-',
'lines.linewidth': 1.5,
'lines.marker': 'None',
'lines.markeredgecolor': 'auto',
'lines.markeredgewidth': 1.0,
'lines.markerfacecolor': 'auto',
'lines.markersize': 6.0,
'lines.scale_dashes': True,
'lines.solid_capstyle': 'round',
'lines.solid_joinstyle': 'round',
'markers.fillstyle': 'full',
'mathtext.bf': 'sans:bold',
'mathtext.cal': 'cursive',
'mathtext.default': 'it',
'mathtext.fallback_to_cm': True,
'mathtext.fontset': 'dejavusans',
'mathtext.it': 'sans:italic',
'mathtext.rm': 'sans',
'mathtext.sf': 'sans',
'mathtext.tt': 'monospace',
'mpl_toolkits.legacy_colorbar': True,
'patch.antialiased': True,
'patch.edgecolor': 'w',
'patch.facecolor': 'C0',
'patch.force_edgecolor': True,
'patch.linewidth': 1.0,
'path.effects': [],
'path.simplify': True,
'path.simplify_threshold': 0.1111111111111111,
'path.sketch': None,
'path.snap': True,
'pdf.compression': 6,
'pdf.fonttype': 3,
'pdf.inheritcolor': False,
'pdf.use14corefonts': False,
'pgf.preamble': '',
'pgf.rcfonts': True,
'pgf.texsystem': 'xelatex',
'polaraxes.grid': True,
'ps.distiller.res': 6000,
'ps.fonttype': 3,
'ps.papersize': 'letter',
'ps.useafm': False,
'ps.usedistiller': None,
'savefig.bbox': None,
'savefig.directory': '~',
'savefig.dpi': 'figure',
'savefig.edgecolor': 'white',
'savefig.facecolor': 'white',
'savefig.format': 'png',
'savefig.frameon': True,
'savefig.jpeg_quality': 95,
'savefig.orientation': 'portrait',
'savefig.pad_inches': 0.1,
'savefig.transparent': False,
'scatter.edgecolors': 'face',
'scatter.marker': 'o',
'svg.fonttype': 'path',
'svg.hashsalt': None,
'svg.image_inline': True,
'text.antialiased': True,
'text.color': '.15',
'text.hinting': 'auto',
'text.hinting_factor': 8,
'text.kerning_factor': 0,
'text.latex.preamble': '',
'text.latex.preview': False,
'text.latex.unicode': True,
'text.usetex': False,
'timezone': 'UTC',
'tk.window_focus': False,
'toolbar': 'toolbar2',
'verbose.fileo': 'sys.stdout',
'verbose.level': 'silent',
'webagg.address': '127.0.0.1',
'webagg.open_in_browser': True,
'webagg.port': 8988,
'webagg.port_retries': 50,
'xtick.alignment': 'center',
'xtick.bottom': False,
'xtick.color': '.15',
'xtick.direction': 'out',
'xtick.labelbottom': True,
'xtick.labelsize': 'medium',
'xtick.labeltop': False,
'xtick.major.bottom': True,
'xtick.major.pad': 3.5,
'xtick.major.size': 3.5,
'xtick.major.top': True,
'xtick.major.width': 0.8,
'xtick.minor.bottom': True,
'xtick.minor.pad': 3.4,
'xtick.minor.size': 2.0,
'xtick.minor.top': True,
'xtick.minor.visible': False,
'xtick.minor.width': 0.6,
'xtick.top': False,
'ytick.alignment': 'center_baseline',
'ytick.color': '.15',
'ytick.direction': 'out',
'ytick.labelleft': True,
'ytick.labelright': False,
'ytick.labelsize': 'medium',
'ytick.left': False,
'ytick.major.left': True,
'ytick.major.pad': 3.5,
'ytick.major.right': True,
'ytick.major.size': 3.5,
'ytick.major.width': 0.8,
'ytick.minor.left': True,
'ytick.minor.pad': 3.4,
'ytick.minor.right': True,
'ytick.minor.size': 2.0,
'ytick.minor.visible': False,
'ytick.minor.width': 0.6,
'ytick.right': False})
In [69]:
sns.set_style(style="darkgrid", rc={"grid.color": ".6"})
sns.set_style(rc={"grid.linestyle": ":"})
sns.set_style(rc={"axes.titleweight": "normal"})
sns.set_style(rc={"axes.titlelocation": "left"})
sns.set_style(rc={"axes.titlecolor": "blue"})
sns.set_style(rc={"axes.labelcolor": "red"})
sns.set_style(rc={"axes.labelsize": "12"})
sns.set_style(rc={"axes.labelweight": "normal"})
sns.set_style(rc={"axes.linewidth": "0.5"})
sns.set_style(rc={"grid.color": "purple"})
sns.set_style(rc={"grid.linestyle": "--"})
sns.set_style(rc={"grid.linewidth": "0.5"})
sns.set_style(rc={"font.fantasy": "Comic Sans MS"})
sns.set_style(rc={"font.serif": "Utopia"})
In [70]:
penguins = sns.load_dataset("penguins")
# Axis-level
sns.histplot(data=penguins, x="flipper_length_mm")
Out[70]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c22ea6f90>
In [75]:
sns.reset_orig()
penguins = sns.load_dataset("penguins")
# Axis-level
sns.histplot(data=penguins, x="flipper_length_mm")
Out[75]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f8c22e3bc10>
In [76]:
# Ejemplo aplicado
df_ejercicio = sns.load_dataset('exercise')
df_ejercicio = df_ejercicio.drop('Unnamed: 0', axis='columns')
df_ejercicio.head()
Out[76]:
| id | diet | pulse | time | kind | |
|---|---|---|---|---|---|
| 0 | 1 | low fat | 85 | 1 min | rest |
| 1 | 1 | low fat | 85 | 15 min | rest |
| 2 | 1 | low fat | 88 | 30 min | rest |
| 3 | 2 | low fat | 90 | 1 min | rest |
| 4 | 2 | low fat | 92 | 15 min | rest |
In [78]:
df_30_min = df_ejercicio[df_ejercicio['time'] == '30 min']
df_30_min.head()
Out[78]:
| id | diet | pulse | time | kind | |
|---|---|---|---|---|---|
| 2 | 1 | low fat | 88 | 30 min | rest |
| 5 | 2 | low fat | 93 | 30 min | rest |
| 8 | 3 | low fat | 94 | 30 min | rest |
| 11 | 4 | low fat | 83 | 30 min | rest |
| 14 | 5 | low fat | 91 | 30 min | rest |
In [79]:
plt.figure()
# Figure -level
ax = sns.displot(data=df_30_min, x='pulse', kind='kde', hue='kind', fill=True)
ax.set(xlabel='Frecuencia Cardíaca', ylabel='Densidad', title='Distribución de las pulsaciones')
Out[79]:
<seaborn.axisgrid.FacetGrid at 0x7f8c22d2fd10>
<Figure size 432x288 with 0 Axes>
In [80]:
ax = sns.catplot(data=df_ejercicio, kind='violin', x='time', y='pulse', hue='diet', split=True)
ax.set(xlabel='Duración de ejercicio', ylabel='Frecuencia cardíaca', title='Categorización de la distribución de pulsaciones')
Out[80]:
<seaborn.axisgrid.FacetGrid at 0x7f8c22cdb410>
Created in