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0813-6519-8292 (WA) Label Kulit Baju
0813-6519-8292 (WA) Label Kulit Baju, Label Size Baju, Label Baju Kaos, Label Kulit Jogja, Bahan Label Baju, Label Baju Murah, Label Kulit Sintetis, Label Kulit 🌟 Tingkatkan Kualitas Produk Anda dengan Label Kulit Berkualitas! 🌟 Kami menyediakan berbagai jenis label untuk baju dengan bahan premium dan harga terjangkau: 👕 Label Kulit Baju 👗 Label Size Baju 👖 Label Baju Kaos 👚 Label Kulit Sintetis Kunjungi kami di Jl. Terusan Pasirkoja, Gg. H. Idrus dalam No.53, Babakan Tarogong, Bandung, Jawa Barat atau hubungi kami via WhatsApp di 0813-6519-8292 untuk info lebih lanjut! 📍 Temukan produk kami dan berbagai pilihan label lainnya di: https://toserbaberkah.web.id 🔹 Label Baju Murah 🔹 Label Kulit Jogja 🔹 Bahan Label Baju Berkualitas Jadikan produk Anda lebih menarik dan profesional dengan label berkualitas dari kami! #LabelBaju #LabelKulit #LabelSize #LabelKaos #LabelMurah #BahanLabel #LabelKulitSintetis #ToserbaBerkah #Bandung #FashionLabel
#LabelBaju#LabelKulit#LabelSize#LabelKaos#LabelMurah#BahanLabel#LabelKulitSintetis#ToserbaBerkah#Bandung#FashionLabel
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Urban Safari: Streetsavanna Trouser Co-ord Sets Experience the wild elegance of urban jungle fashion with our Streetsavanna trouser co-ord sets. Embrace the perfect blend of style and comfort in western, modest, and cotton options. #sous #labelsous #fashion
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Women's Premium Cotton Raglan Tshirts
Women’s Premium Cotton Raglan Tshirts
100% ring spun cottonFabric weight: 5.3 oz/yd2 (180 g/m2)Preshrunk jersey knitRaglan short sleevesDouble-needle stitch on sleeve and bottom hem for durabilityIn Transition to Tear away labelSize Chart Size Bust (cm) Length (cm) S 47 67 M 50 69 L 53 72 XL 56 74 2XL 59 76
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How to change the font size on a matplotlib plot
How does one change the font size for all elements (ticks, labels, title) on a matplotlib plot?
I know how to change the tick label sizes, this is done with:
import matplotlib matplotlib.rc('xtick', labelsize=20) matplotlib.rc('ytick', labelsize=20)
But how does one change the rest?
https://codehunter.cc/a/python/how-to-change-the-font-size-on-a-matplotlib-plot
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FX
//@version=4 //@see https://currency-strength.com/ //@see https://currency-strength.com/about.html study("Currency Strength Chart", overlay=false, precision=2)
// Inputs string resotype_autovalue = (not timeframe.isintraday) ? "12M" : (timeframe.multiplier >= 60) ? "W" : (timeframe.multiplier >= 240) ? "M" : "D" string resotype_lookback = 'Use Lookback Number' string resotype = input("auto", "Resolution", options=["D", "W", "M", "12M", "auto", resotype_lookback]) string reso = (resotype == resotype_lookback) ? timeframe.period : (resotype == "auto") ? resotype_autovalue: resotype int resotype_lookbackperiod = (resotype == resotype_lookback) ? input(100, "└ Lookback Number", minval=1) : 1 string BROKER = input(title="Brokers", options=["OANDA", "FOREXCOM", "SAXO", "FX_IDC", "FX"], defval="OANDA") float v1_EURUSD = security(BROKER + ":EURUSD", timeframe.period, close) float v1_USDJPY = security(BROKER + ":USDJPY", timeframe.period, close) float v1_USDCHF = security(BROKER + ":USDCHF", timeframe.period, close) float v1_GBPUSD = security(BROKER + ":GBPUSD", timeframe.period, close) float v1_AUDUSD = security(BROKER + ":AUDUSD", timeframe.period, close) float v1_USDCAD = security(BROKER + ":USDCAD", timeframe.period, close) float v1_NZDUSD = security(BROKER + ":NZDUSD", timeframe.period, close) float v1_XAUUSD = security(BROKER + ":XAUUSD", timeframe.period, close) float v1_OILUSD = security( "USOIL", timeframe.period, close) float v2_EURUSD = security(BROKER + ":EURUSD", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_USDJPY = security(BROKER + ":USDJPY", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_USDCHF = security(BROKER + ":USDCHF", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_GBPUSD = security(BROKER + ":GBPUSD", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_AUDUSD = security(BROKER + ":AUDUSD", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_USDCAD = security(BROKER + ":USDCAD", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_NZDUSD = security(BROKER + ":NZDUSD", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_XAUUSD = security(BROKER + ":XAUUSD", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on) float v2_OILUSD = security( "USOIL", reso, close[resotype_lookbackperiod], barmerge.gaps_off, barmerge.lookahead_on)
// Switches bool show_EUR = input(title="EUR", defval=true) bool show_USD = input(title="USD", defval=true) bool show_JPY = input(title="JPY", defval=true) bool show_GBP = input(title="GBP", defval=true) bool show_CHF = input(title="CHF", defval=true) bool show_AUD = input(title="AUD", defval=true) bool show_CAD = input(title="CAD", defval=true) bool show_NZD = input(title="NZD", defval=true) bool show_XAU = input(title="XAU", defval=false) bool show_OIL = input(title="OIL", defval=false)
var color c_eur = input(title="Color EUR", defval=color.red, type=input.color) var color c_usd = input(title="Color USD", defval=color.orange, type=input.color) var color c_jpy = input(title="Color JPY", defval=color.aqua, type=input.color) var color c_gbp = input(title="Color GBP", defval=color.green, type=input.color) var color c_chf = input(title="Color CHF", defval=color.maroon, type=input.color) var color c_aud = input(title="Color AUD", defval=color.blue, type=input.color) var color c_cad = input(title="Color CAD", defval=color.purple, type=input.color) var color c_nzd = input(title="Color NZD", defval=color.fuchsia, type=input.color) var color c_xau = input(title="Color XAU", defval=#D7BE69, type=input.color) var color c_oil = input(title="Color OIL", defval=#745433, type=input.color) var color c_green = #26a69a var color c_red = #ef5350
int linewidth = input(title="Line Width", defval=2, minval=1) bool show_labels = input(title="Labels", defval=true) string labelsize = input(title="└ Label Size", options=[size.normal, size.small, size.tiny], defval=size.normal) bool show_diff = input(title="Compares 2 Currencies by Histogram", defval=false) string diff_currency1 = input(title="├ Currency 1", options=["USD", "EUR", "JPY", "GBP", "CHF", "AUD", "CAD", "NZD", "XAU", "OIL"], defval="EUR") string diff_currency2 = input(title="├ Currency 2", options=["USD", "EUR", "JPY", "GBP", "CHF", "AUD", "CAD", "NZD", "XAU", "OIL"], defval="USD") string diff_colors = input(title="├ Histogram Colors", options=["auto", "Red & Green"], defval="auto") int diff_linewidth = input(title="├ Histogram Line Width", minval=1, defval=1) bool diff_barcolor = input(title="└ Bar colors", defval=false) bool show_levels = input(title="Level Lines", defval=false) float levels = input(title="└ Level (±)", minval=1, defval=20)
// Functions get_name_by_value (v, _EUR, _USD, _JPY, _CHF, _GBP, _AUD, _CAD, _NZD, _XAU, _OIL) => v==_EUR ? "EUR" : v==_USD ? "USD" : v==_JPY ? "JPY" : v==_CHF ? "CHF" : v==_GBP ? "GBP" : v==_AUD ? "AUD" : v==_CAD ? "CAD" : v==_NZD ? "NZD" : v==_XAU ? "XAU" : v==_OIL ? "OIL" : na
get_val (_v1, _v2) => float res = 0
if (_v2 == 0) res := 0 else res := log(_v1 / _v2) * 10000
res
get_val_m (_v1, _v2, _v3, _v4) => float res = 0 float v1 = _v1 * _v3 float v2 = _v2 * _v4
if (_v2 == 0) res := 0 else res := log(v1 / v2) * 10000
res
get_val_d (_v1, _v2, _v3, _v4) => float res = 0
if (_v3 == 0 or _v4 == 0) res := 0 else float v1 = _v1 / _v3 float v2 = _v2 / _v4
if (v2 == 0) res := 0 else res := log(v1 / v2) * 10000
res
// Calculating float EURUSD = get_val(v1_EURUSD, v2_EURUSD) float USDJPY = get_val(v1_USDJPY, v2_USDJPY) float USDCHF = get_val(v1_USDCHF, v2_USDCHF) float GBPUSD = get_val(v1_GBPUSD, v2_GBPUSD) float AUDUSD = get_val(v1_AUDUSD, v2_AUDUSD) float USDCAD = get_val(v1_USDCAD, v2_USDCAD) float NZDUSD = get_val(v1_NZDUSD, v2_NZDUSD) float XAUUSD = get_val(v1_XAUUSD, v2_XAUUSD) float OILUSD = get_val(v1_OILUSD, v2_OILUSD) float EURJPY = get_val_m(v1_EURUSD, v2_EURUSD, v1_USDJPY, v2_USDJPY) float EURCHF = get_val_m(v1_EURUSD, v2_EURUSD, v1_USDCHF, v2_USDCHF) float EURGBP = get_val_d(v1_EURUSD, v2_EURUSD, v1_GBPUSD, v2_GBPUSD) float EURCAD = get_val_m(v1_EURUSD, v2_EURUSD, v1_USDCAD, v2_USDCAD) float EURAUD = get_val_d(v1_EURUSD, v2_EURUSD, v1_AUDUSD, v2_AUDUSD) float EURNZD = get_val_d(v1_EURUSD, v2_EURUSD, v1_NZDUSD, v2_NZDUSD) float EURXAU = get_val_d(v1_EURUSD, v2_EURUSD, v1_XAUUSD, v2_XAUUSD) float EUROIL = get_val_d(v1_EURUSD, v2_EURUSD, v1_OILUSD, v2_OILUSD) float GBPCHF = get_val_m(v1_GBPUSD, v2_GBPUSD, v1_USDCHF, v2_USDCHF) float GBPJPY = get_val_m(v1_GBPUSD, v2_GBPUSD, v1_USDJPY, v2_USDJPY) float GBPCAD = get_val_m(v1_GBPUSD, v2_GBPUSD, v1_USDCAD, v2_USDCAD) float GBPAUD = get_val_d(v1_GBPUSD, v2_GBPUSD, v1_AUDUSD, v2_AUDUSD) float GBPNZD = get_val_d(v1_GBPUSD, v2_GBPUSD, v1_NZDUSD, v2_NZDUSD) float AUDCHF = get_val_m(v1_AUDUSD, v2_AUDUSD, v1_USDCHF, v2_USDCHF) float AUDJPY = get_val_m(v1_AUDUSD, v2_AUDUSD, v1_USDJPY, v2_USDJPY) float AUDCAD = get_val_m(v1_AUDUSD, v2_AUDUSD, v1_USDCAD, v2_USDCAD) float AUDNZD = get_val_d(v1_AUDUSD, v2_AUDUSD, v1_NZDUSD, v2_NZDUSD) float NZDCAD = get_val_m(v1_NZDUSD, v2_NZDUSD, v1_USDCAD, v2_USDCAD) float NZDCHF = get_val_m(v1_NZDUSD, v2_NZDUSD, v1_USDCHF, v2_USDCHF) float NZDJPY = get_val_m(v1_NZDUSD, v2_NZDUSD, v1_USDJPY, v2_USDJPY) float CADJPY = get_val_d(v1_USDJPY, v2_USDJPY, v1_USDCAD, v2_USDCAD) float CADCHF = get_val_d(v1_USDCHF, v2_USDCHF, v1_USDCAD, v2_USDCAD) float CHFJPY = get_val_d(v1_USDJPY, v2_USDJPY, v1_USDCHF, v2_USDCHF) float XAUJPY = get_val_m(v1_XAUUSD, v2_XAUUSD, v1_USDJPY, v2_USDJPY) float XAUCHF = get_val_m(v1_XAUUSD, v2_XAUUSD, v1_USDCHF, v2_USDCHF) float XAUGBP = get_val_m(v1_XAUUSD, v2_XAUUSD, v1_GBPUSD, v2_GBPUSD) float XAUCAD = get_val_m(v1_XAUUSD, v2_XAUUSD, v1_USDCAD, v2_USDCAD) float XAUAUD = get_val_d(v1_XAUUSD, v2_XAUUSD, v1_AUDUSD, v2_AUDUSD) float XAUNZD = get_val_d(v1_XAUUSD, v2_XAUUSD, v1_NZDUSD, v2_NZDUSD) float OILJPY = get_val_m(v1_OILUSD, v2_OILUSD, v1_USDJPY, v2_USDJPY) float OILCHF = get_val_m(v1_OILUSD, v2_OILUSD, v1_USDCHF, v2_USDCHF) float OILGBP = get_val_m(v1_OILUSD, v2_OILUSD, v1_GBPUSD, v2_GBPUSD) float OILCAD = get_val_m(v1_OILUSD, v2_OILUSD, v1_USDCAD, v2_USDCAD) float OILAUD = get_val_d(v1_OILUSD, v2_OILUSD, v1_AUDUSD, v2_AUDUSD) float OILNZD = get_val_d(v1_OILUSD, v2_OILUSD, v1_NZDUSD, v2_NZDUSD)
int pairs = 10 float EUR = (( EURUSD + EURJPY + EURCHF + EURGBP + EURAUD + EURCAD + EURNZD + EURXAU) / pairs) float USD = ((-EURUSD + USDJPY + USDCHF - GBPUSD - AUDUSD + USDCAD - NZDUSD - XAUUSD) / pairs) float JPY = ((-EURJPY - USDJPY - CHFJPY - GBPJPY - AUDJPY - CADJPY - NZDJPY - XAUJPY) / pairs) float CHF = ((-EURCHF - USDCHF + CHFJPY - GBPCHF - AUDCHF - CADCHF - NZDCHF - XAUJPY) / pairs) float GBP = ((-EURGBP + GBPUSD + GBPCHF + GBPJPY + GBPAUD + GBPCAD + GBPNZD - XAUGBP) / pairs) float AUD = ((-EURAUD + AUDUSD + AUDJPY + AUDCHF - GBPAUD + AUDCAD + AUDNZD - XAUAUD) / pairs) float CAD = ((-EURCAD - USDCAD + CADJPY + CADCHF - GBPCAD - AUDCAD - NZDCAD - XAUCAD) / pairs) float NZD = ((-EURNZD + NZDUSD + NZDJPY + NZDCHF - GBPNZD + NZDCAD - AUDNZD - XAUNZD) / pairs) float XAU = ((-EURXAU + XAUUSD + XAUJPY + XAUCHF + XAUGBP + XAUAUD + XAUCAD + XAUNZD) / pairs) float OIL = ((-EUROIL + OILUSD + OILJPY + OILCHF + OILGBP + OILAUD + OILCAD + OILNZD) / pairs)
// Diff get_diff (_name) => float _res = na color _c = na
if (_name == "USD") _res := USD, _c := c_usd else if (_name == "EUR") _res := EUR, _c := c_eur else if (_name == "JPY") _res := JPY, _c := c_jpy else if (_name == "CHF") _res := CHF, _c := c_chf else if (_name == "GBP") _res := GBP, _c := c_gbp else if (_name == "AUD") _res := AUD, _c := c_aud else if (_name == "CAD") _res := CAD, _c := c_cad else if (_name == "NZD") _res := NZD, _c := c_nzd else if (_name == "XAU") _res := XAU, _c := c_xau else if (_name == "OIL") _res := OIL, _c := c_oil
[_res, _c]
[DIFF1, c_diff1] = get_diff(diff_currency1) [DIFF2, c_diff2] = get_diff(diff_currency2) float DIFF = (DIFF1 - DIFF2) color c_diff = ((DIFF1 > DIFF2) ? c_green : c_red), c_diff := diff_colors == "auto" ? ((DIFF1 > DIFF2) ? c_diff1 : c_diff2) : c_diff color c_barcolor = (show_diff and diff_barcolor) ? c_diff : na color c_levels = show_levels ? color.gray : na
// Backgrounds hline(0, title="Base", linestyle=hline.style_solid) hline(levels, color=c_levels, title="Level +", linestyle=hline.style_dotted) hline(levels * -1, color=c_levels, title="Level -", linestyle=hline.style_dotted) barcolor(c_barcolor, editable=false)
// Plotting plot(iff(show_diff, DIFF, na), title="", color=c_diff, linewidth=diff_linewidth, style=plot.style_histogram, transp=50, editable=false) plot(iff(show_OIL, OIL, na), title="OIL", color=c_oil, linewidth=linewidth, editable=false) plot(iff(show_XAU, XAU, na), title="XAU", color=c_xau, linewidth=linewidth, editable=false) plot(iff(show_NZD, NZD, na), title="NZD", color=c_nzd, linewidth=linewidth, editable=false) plot(iff(show_CAD, CAD, na), title="CAD", color=c_cad, linewidth=linewidth, editable=false) plot(iff(show_CHF, CHF, na), title="CHF", color=c_chf, linewidth=linewidth, editable=false) plot(iff(show_AUD, AUD, na), title="AUD", color=c_aud, linewidth=linewidth, editable=false) plot(iff(show_GBP, GBP, na), title="GBP", color=c_gbp, linewidth=linewidth, editable=false) plot(iff(show_JPY, JPY, na), title="JPY", color=c_jpy, linewidth=linewidth, editable=false) plot(iff(show_EUR, EUR, na), title="EUR", color=c_eur, linewidth=linewidth, editable=false) plot(iff(show_USD, USD, na), title="USD", color=c_usd, linewidth=linewidth, editable=false)
// Labels if (show_labels) labelStyle = label.style_label_left
if (show_XAU) label XAU_LABEL = label.new(bar_index, XAU, "XAU", color=c_xau, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(XAU_LABEL[1]) if (show_OIL) label OIL_LABEL = label.new(bar_index, OIL, "OIL", color=c_oil, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(OIL_LABEL[1]) if (show_NZD) label NZD_LABEL = label.new(bar_index, NZD, "NZD", color=c_nzd, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(NZD_LABEL[1]) if (show_CAD) label CAD_LABEL = label.new(bar_index, CAD, "CAD", color=c_cad, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(CAD_LABEL[1]) if (show_CHF) label CHF_LABEL = label.new(bar_index, CHF, "CHF", color=c_chf, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(CHF_LABEL[1]) if (show_AUD) label AUD_LABEL = label.new(bar_index, AUD, "AUD", color=c_aud, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(AUD_LABEL[1]) if (show_GBP) label GBP_LABEL = label.new(bar_index, GBP, "GBP", color=c_gbp, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(GBP_LABEL[1]) if (show_JPY) label JPY_LABEL = label.new(bar_index, JPY, "JPY", color=c_jpy, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(JPY_LABEL[1]) if (show_EUR) label EUR_LABEL = label.new(bar_index, EUR, "EUR", color=c_eur, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(EUR_LABEL[1]) if (show_USD) label USD_LABEL = label.new(bar_index, USD, "USD", color=c_usd, textcolor=color.white, style=labelStyle, size=labelsize), label.delete(USD_LABEL[1])
// Analysis values = array.new_float(0) array.push(values, EUR), array.push(values, USD), array.push(values, JPY), array.push(values, CHF), array.push(values, GBP), array.push(values, AUD), array.push(values, CAD), array.push(values, NZD) array.sort(values, order.descending)
names = array.new_string(0) for i = 0 to array.size(values) - 1 v = array.get(values, i) n = get_name_by_value(v, EUR, USD, JPY, CHF, GBP, AUD, CAD, NZD, XAU, OIL) array.push(names, n)
float max_value = array.max(values) float min_value = array.min(values) string max_value_name = get_name_by_value(max_value, EUR, USD, JPY, CHF, GBP, AUD, CAD, NZD, XAU, OIL) string min_value_name = get_name_by_value(min_value, EUR, USD, JPY, CHF, GBP, AUD, CAD, NZD, XAU, OIL) bool max_value_changed = max_value_name != max_value_name[1] bool min_value_changed = min_value_name != min_value_name[1] string note_ranking = array.join(names, ' > ')
// Alerts if max_value_changed or min_value_changed alert("NEW UPDATE: " + note_ranking, alert.freq_once_per_bar_close)
//if XAU > max_value or XAU < min_value // alert("XAU" + (XAU > max_value ? ' > ' : ' < ') + "ALL CURRENCIES", alert.freq_once_per_bar_close) // //if OIL > max_value or OIL < min_value // alert("OIL" + (OIL > max_value ? ' > ' : ' < ') + "ALL CURRENCIES", alert.freq_once_per_bar_close)
alertcondition(cross(DIFF1, DIFF2), "Histogram crosses", "Histogram crosses")
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Making Data Management Decisions
# import visulization packages import matplotlib.pyplot as plt # set up the figure size %matplotlib inline plt.rcParams['figure.figsize'] = (20, 10) # make subplots fig, axes = plt.subplots(nrows = 2, ncols = 2) # Specify the features of interest num_features = ['Age', 'SibSp', 'Parch', 'Fare'] xaxes = num_features yaxes = ['Counts', 'Counts', 'Counts', 'Counts'] # draw histograms axes = axes.ravel() for idx, ax in enumerate(axes): ax.hist(data[num_features[idx]].dropna(), bins=40) ax.set_xlabel(xaxes[idx], fontsize=20) ax.set_ylabel(yaxes[idx], fontsize=20) ax.tick_params(axis='both', labelsize=15)
From the histogram, we see that all the values in the variables seem in the correct range. Most of the passengers are around 20 to 30 years old and don't have siblings or relatives with them. A large amount of the tickets sold were less than $50. There are very few tickets sold where the fare was over $500.
BARPLOT FOR THE CATEGORICAL DATA
Next we will create barplots for the categorical variables in the data set. Since "Ticket" and "Cabin" have too many levels (more than 100), I will not make the barplot for these.
# set up the figure size %matplotlib inline plt.rcParams['figure.figsize'] = (20, 10) # make subplots fig, axes = plt.subplots(nrows = 2, ncols = 2) # make the data read to feed into the visulizer X_Survived = data.replace({'Survived': {1: 'yes', 0: 'no'}}).groupby('Survived').size().reset_index(name='Counts')['Survived'] Y_Survived = data.replace({'Survived': {1: 'yes', 0: 'no'}}).groupby('Survived').size().reset_index(name='Counts')['Counts'] # make the bar plot axes[0, 0].bar(X_Survived, Y_Survived) axes[0, 0].set_title('Survived', fontsize=25) axes[0, 0].set_ylabel('Counts', fontsize=20) axes[0, 0].tick_params(axis='both', labelsize=15) # make the data read to feed into the visulizer X_Pclass = data.replace({'Pclass': {1: '1st', 2: '2nd', 3: '3rd'}}).groupby('Pclass').size().reset_index(name='Counts')['Pclass'] Y_Pclass = data.replace({'Pclass': {1: '1st', 2: '2nd', 3: '3rd'}}).groupby('Pclass').size().reset_index(name='Counts')['Counts'] # make the bar plot axes[0, 1].bar(X_Pclass, Y_Pclass) axes[0, 1].set_title('Pclass', fontsize=25) axes[0, 1].set_ylabel('Counts', fontsize=20) axes[0, 1].tick_params(axis='both', labelsize=15) # make the data read to feed into the visulizer X_Sex = data.groupby('Sex').size().reset_index(name='Counts')['Sex'] Y_Sex = data.groupby('Sex').size().reset_index(name='Counts')['Counts'] # make the bar plot axes[1, 0].bar(X_Sex, Y_Sex) axes[1, 0].set_title('Sex', fontsize=25) axes[1, 0].set_ylabel('Counts', fontsize=20) axes[1, 0].tick_params(axis='both', labelsize=15) # make the data read to feed into the visulizer X_Embarked = data.groupby('Embarked').size().reset_index(name='Counts')['Embarked'] Y_Embarked = data.groupby('Embarked').size().reset_index(name='Counts')['Counts'] # make the bar plot axes[1, 1].bar(X_Embarked, Y_Embarked) axes[1, 1].set_title('Embarked', fontsize=25) axes[1, 1].set_ylabel('Counts', fontsize=20) axes[1, 1].tick_params(axis='both', labelsize=15)
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Girls Clothing, Toddler Baby Kid Girls Long Sleeve Knitted Bow Newborn Tutu Princess Dress 0-24M (90CM, Red)
Girls Clothing, Toddler Baby Kid Girls Long Sleeve Knitted Bow Newborn Tutu Princess Dress 0-24M (90CM, Red)
Price: [price_with_discount] [ad_1] Size:0/6M LabelSize:70 Bust:48CM/18.9″ Sleeve:23CM/9.1″ Length:35CM/13.8″ Height:70CM Size:6/12M LabelSize:80 Bust:50CM/19.7″ Sleeve:25CM/9.8″ Length:38CM/15″ Height:80CM Size:12/18M LabelSize:90 Bust:54CM/21.3″ Sleeve:27CM/10.6″ Length:41CM/16.1″ Height:90CM Size:18/24M LabelSize:100 Bust:56CM/22″ Sleeve:29CM/11.4″ Length:44CM/17.3″ Height:100CM…
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