{"id":3860,"date":"2023-07-15T03:11:10","date_gmt":"2023-07-15T03:11:10","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%99%e1%80%bd%e1%80%b1%e1%80%b8%e1%80%a1%e1%80%9b%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba-barplot\/"},"modified":"2023-07-15T03:11:10","modified_gmt":"2023-07-15T03:11:10","slug":"%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%99%e1%80%bd%e1%80%b1%e1%80%b8%e1%80%a1%e1%80%9b%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba-barplot","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%99%e1%80%bd%e1%80%b1%e1%80%b8%e1%80%a1%e1%80%9b%e1%80%b1%e1%80%ac%e1%80%84%e1%80%ba-barplot\/","title":{"rendered":"Seaborn barplot \u1010\u103d\u1004\u103a\u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

\u1021\u100f\u1039\u100f\u101d\u102b<\/a> \u1018\u102c\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n

 #use steelblue for the color of all bars<\/span>\nsns. barplot<\/span> (x=xvar, y=yvar, color=' steelblue<\/span> ')<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1016\u103c\u1004\u1037\u103a \u1018\u102c\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 #use orange for bar with max value and gray for all other bars\n<\/span>cols = [' gray<\/span> ' if<\/span> (x < max<\/span> (df. yvar<\/span> )) else<\/span> ' orange<\/span> ' for<\/span> x in<\/span> df. yvar<\/span> ]\n\n#create barplot using specified colors\n<\/span>sns. barplot<\/span> (x=df. xvar<\/span> , y=df. yvar<\/span> , palette=cols)<\/strong><\/pre>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 3- \u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1015\u1031\u102b\u103a\u1021\u1001\u103c\u1031\u1001\u1036\u104d \u1018\u102c\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/p>\n
 #use red for bars with value less than 10 and green for all other bars<\/span>\ncols = [' red<\/span> ' if<\/span> x < 10 else<\/span> ' green<\/span> ' for<\/span> x in<\/span> df. yvar<\/span> ]\n\n#create barplot using specified colors\n<\/span>sns. barplot<\/span> (x=df. xvar<\/span> , y=df. yvar<\/span> , palette=cols)<\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b pandas DataFrame \u1016\u103c\u1004\u1037\u103a \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u1005\u102e\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' employee<\/span> ': ['Andy', 'Bert', 'Chad', 'Doug', 'Eric', 'Frank'],\n                   ' sales<\/span> ': [22, 14, 9, 7, 29, 20]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  employee sales\n0 Andy 22\n1 Bert 14\n2 Chad 9\n3 Doug 7\n4 Eric 29\n5 Frank 20\n<\/span><\/span><\/strong><\/pre>\n
 \u1025\u1015\u1019\u102c 1- \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a Seaborn \u1010\u103d\u1004\u103a barplot \u1010\u1005\u103a\u1001\u102f\u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u1015\u103c\u102e\u1038 \u1000\u103d\u1000\u103a\u101c\u1015\u103a\u101b\u103e\u102d\u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a “ steelblue”  \u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#create barplot using steelblue as color for each bar\n<\/span>sns. barplot<\/span> (x= df.employee<\/span> ,y= df.sales<\/span> ,color=' steelblue<\/span> ')\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u1025\u1015\u1019\u102c 2- \u1021\u1019\u103c\u1004\u1037\u103a\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1016\u103c\u1004\u1037\u103a \u1018\u102c\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a barplot \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u102d\u1019\u1039\u1019\u1031\u102c\u103a\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#use orange for bar with max value and gray for all other bars\n<\/span>cols = [' gray<\/span> ' if<\/span> (x < max<\/span> (df. sales<\/span> )) else<\/span> ' orange<\/span> ' for<\/span> x in<\/span> df. dirty<\/span> ]\n\n#create barplot with custom colors\n<\/span>sns. barplot<\/span> (x=df. employee<\/span> , y=df. sales<\/span> , palette=cols)<\/strong> <\/pre>\n
\"seaborn<\/p>\n
 \u1025\u1015\u1019\u102c 3- \u1021\u1019\u103c\u1004\u1037\u103a\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1016\u103c\u1004\u1037\u103a \u1018\u102c\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a barplot \u1010\u103d\u1004\u103a \u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1014\u103e\u1004\u1037\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a \u101c\u102d\u1019\u1039\u1019\u1031\u102c\u103a\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> seaborn as<\/span> sns\n\n#use red for bars with value less than 10 and green for all other bars\n<\/span>cols = [' red<\/span> ' if<\/span> x < 10 else<\/span> ' green<\/span> ' for<\/span> x in<\/span> df. dirty<\/span> ]\n\n#create barplot with custom colors\n<\/span>sns. barplot<\/span> (x=df. employee<\/span> , y=df. sales<\/span> , palette=cols)<\/strong> <\/pre>\n
\"\u1021\u1001\u103c\u1031\u1021\u1014\u1031\u1015\u1031\u102b\u103a\u1019\u1030\u1010\u100a\u103a\u104d<\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1015\u1004\u103a\u101c\u101a\u103a\u1019\u103d\u1031\u1038\u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 Seaborn \u1010\u103d\u1004\u103a \u1021\u102f\u1015\u103a\u1005\u102f\u1016\u103d\u1032\u1037 barplot \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038
 Seaborn \u1010\u103d\u1004\u103a Pie Chart \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a>
 \u1015\u102f\u1036\u1010\u1005\u103a\u1015\u102f\u1036\u1010\u100a\u103a\u1038\u1010\u103d\u1004\u103a \u1019\u103b\u102c\u1038\u1005\u103d\u102c\u101e\u1031\u102c Seaborn Plots \u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u1021\u100f\u1039\u100f\u101d\u102b \u1018\u102c\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1021\u1010\u103d\u1000\u103a \u1021\u101b\u1031\u102c\u1004\u103a\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b #use steelblue for the color of all bars sns. barplot (x=xvar, y=yvar, color=’ steelblue ‘) \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1021\u1019\u103b\u102c\u1038\u1006\u102f\u1036\u1038\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1016\u103c\u1004\u1037\u103a \u1018\u102c\u1038\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1015\u102b\u104b #use orange for bar with max value and gray for all other bars cols = [‘ gray ‘ if (x < max (df. yvar )) […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nBarplot Seaborn - Statorials \u1010\u103d\u1004\u103a \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1021\u100f\u1039\u100f\u101d\u102b\u1018\u102c\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/\u1015\u1004\u103a\u101c\u101a\u103a\u1019\u103d\u1031\u1038\u1021\u101b\u1031\u102c\u1004\u103a-barplot\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Barplot Seaborn - Statorials \u1010\u103d\u1004\u103a \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b\" \/>\n<meta property=\"og:description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1014\u1019\u1030\u1014\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a \u1021\u100f\u1039\u100f\u101d\u102b\u1018\u102c\u1038\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u1010\u103d\u1004\u103a \u1018\u102c\u1038\u1019\u103b\u102c\u1038\u104f\u1021\u101b\u1031\u102c\u1004\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f 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