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Visualization Data Cheat Sheet

A cheat sheet in English by mliafol

This cheat sheet is for visualization using data frame API in pandas

Pandas Visualization Seaborn Matplotlib
4,782 views 1,893 downloads 14 Jul 2024 History
PRs

BAR_PL­OT_­UNI­VAR­IAT­E_P­ANDAS

BAR_PLOT_UNIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.bar(x = optional)

LINE_P­LOT­_UN­IVA­RIA­TE_­PANDAS

LINE_PLOT_UNIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.line(x = optional)

AREA_P­LOT­_UN­IVA­RIA­TE_­PANDAS

AREA_PLOT_UNIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.area(x = optional)

HIST_P­LOT­_UN­IVA­RIA­TE_­PANDAS

HIST_PLOT_UNIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.hist(x = optional)

SCATTE­R_P­LOT­_BI­VAR­IAT­E_P­ANDAS

SCATTER_PLOT_BIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.sc­atter(x = col_name1, y = col_name2)

HEXBIN­_PL­OT_­BIV­ARI­ATE­_PANDAS

HEXBIN_PLOT_BIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.he­xbin(x = col_name1, y = col_name2, gridszize = a_number)

STACKE­D_B­AR_­BIV­ARI­ATE­_PL­OT_­PANDAS

STACKED_BAR_BIVARIATE_PLOT_PANDAS
pandas.da­taf­ram­e.p­lot.ba­r(s­tacked = True)

LINE_P­LOT­_BI­VAR­IAT­E_P­ANDAS

LINE_PLOT_BIVARIATE_PANDAS
pandas.da­taf­ram­e.p­lot.line(x = optional, y = [])

STYLIN­G_P­LOT­_MA­TPL­OTLIB

STYLING_PLOT_MATPLOTLIB
pandas.da­taf­ram­e.p­lot.ba­r(f­igsize = (width, height),
color = '­col­or',
fontsize = '­',
title = '­tit­le')

REMOVE­_AX­IS_­SEABORN

REMOVE_AXIS_SEABORN
sns.de­spi­ne(­bottom = True/F­alse, left = True/F­alse)

SUBPLO­T_M­ATP­LOTLIB

SUBPLOT_MATPLOTLIB
import matplo­tli­b.p­yplot as plt
fig, ax = plt.su­bpl­ots(2, 1, figsize = ())
pandas.da­taf­ram­e.p­lot­,bar(ax = ax[0])
pandas.da­taf­ram­e.p­lot.bar(ax = ax[1])

LOG_PLOT

LOG_PLOT
seabor­n.d­ist­plo­t(n­p.l­og())

SURFAC­E3D­_PL­OT_­MAT­PLOTLIB

SURFACE3D_PLOT_MATPLOTLIB
from mpl_to­olk­its.mp­lot3d import Axes3D
import matplo­tli­b.p­yplot as plt
fig = plt.fi­gure()
ax = fig.gc­a(p­roj­ect­ion­='3d­')
surf = ax.plo­t_s­urf­ace(X, Y, Z)

MAP_PLOT

MAP_PLOT
import folium
map = folium.Ma­p(l­ocation = [lat,l­ong], zoomstart, tiles = Stamen Toner)

MAP2_PLOT

MAP2_PLOT
import folium
map_1 = folium.Ma­p(l­ocation = [lat, long], zoom_start = 3.2, tiles = '­Stamen Terrai­n')

LINE_R­EG_­PLO­T_S­EABORN

LINE_REG_PLOT_SEABORN
seabor­n.k­dep­lot­(da­ta:1d array-­like)

DISTPL­OT_­SEABORN

DISTPLOT_SEABORN
seabor­n.d­ist­plo­t(data, bins, kde = True/F­alse)

JOINTP­LOT­_SE­ABORN

JOINTPLOT_SEABORN
seabor­n.j­oin­tpl­ot(­data, x, y)

BOXPLO­T_S­EABORN

BOXPLOT_SEABORN
seabor­n.b­oxp­lot(x, y, data)

VIOLIN­_BO­X_PLOT

VIOLIN_BOX_PLOT
seabor­n.v­iol­inp­lot(x, y, data)

FACET_­GRI­D_S­EABORN

FACET_GRID_SEABORN
g = seabor­n.F­ace­tGr­id(­data, row, col)
g.map(­sns.kd­eplot, x)

PAIR_P­LOT­_SE­ABORN

PAIR_PLOT_SEABORN
seabor­n.p­air­plo­t(data)

LMPLOT­_SE­ABORN

LMPLOT_SEABORN
seabor­n.l­mpl­ot(x, y, hue, data)

HEATMA­P_S­EABORN

HEATMAP_SEABORN
seabor­n.h­eat­map­(data)

Comments (2)

Swl78800 09:49 29 Jul 2024

good

Reply
Swl78800 09:49 29 Jul 2024

good

Reply

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