#grayscale");filter:gray;-webkit-filter:grayscale(100%);}.bk-root .bk-logo-small{width:20px;height:20px;background-image:url(data:image/png;base64,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);}.bk-root .bk-logo-notebook{display:inline-block;vertical-align:middle;margin-right:5px;}.rendered_html .bk-root .bk-tooltip table,.rendered_html .bk-root .bk-tooltip tr,.rendered_html .bk-root .bk-tooltip th,.rendered_html .bk-root .bk-tooltip td{border:none;padding:1px;}.bk-root .bk-toolbar-hidden{visibility:hidden;opacity:0;transition:visibility 0.3s linear, opacity 0.3s linear;}.bk-root .bk-toolbar{display:flex;flex-wrap:nowrap;align-items:center;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-toolbar .bk-logo{flex-shrink:0;}.bk-root .bk-toolbar.bk-above,.bk-root .bk-toolbar.bk-below{flex-direction:row;justify-content:flex-end;}.bk-root .bk-toolbar.bk-above .bk-logo,.bk-root .bk-toolbar.bk-below .bk-logo{order:1;margin-left:5px;margin-right:0px;}.bk-root .bk-toolbar.bk-left,.bk-root .bk-toolbar.bk-right{flex-direction:column;justify-content:flex-start;}.bk-root .bk-toolbar.bk-left .bk-logo,.bk-root .bk-toolbar.bk-right .bk-logo{order:0;margin-bottom:5px;margin-top:0px;}.bk-root .bk-toolbar-button{width:30px;height:30px;cursor:pointer;background-size:60% 60%;background-origin:border-box;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-toolbar-button:hover,.bk-root .bk-tool-overflow:hover{background-color:rgba(192, 192, 192, 0.15);}.bk-root .bk-toolbar-button:focus,.bk-root .bk-tool-overflow:focus,.bk-root .bk-toolbar-button:focus-visible,.bk-root .bk-tool-overflow:focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-toolbar-button::-moz-focus-inner,.bk-root .bk-tool-overflow::-moz-focus-inner{border:0;}.bk-root .bk-above .bk-toolbar-button{border-bottom:2px solid transparent;}.bk-root .bk-above .bk-toolbar-button.bk-active{border-bottom-color:#26aae1;}.bk-root .bk-below .bk-toolbar-button{border-top:2px solid transparent;}.bk-root .bk-below .bk-toolbar-button.bk-active{border-top-color:#26aae1;}.bk-root .bk-right .bk-toolbar-button{border-left:2px solid transparent;}.bk-root .bk-right .bk-toolbar-button.bk-active{border-left-color:#26aae1;}.bk-root .bk-left .bk-toolbar-button{border-right:2px solid transparent;}.bk-root .bk-left .bk-toolbar-button.bk-active{border-right-color:#26aae1;}.bk-root .bk-divider{content:" ";display:inline-block;background-color:lightgray;}.bk-root .bk-above .bk-divider,.bk-root .bk-below .bk-divider{height:10px;width:1px;}.bk-root .bk-left .bk-divider,.bk-root .bk-right .bk-divider{height:1px;width:10px;}.bk-root .bk-tool-overflow{color:gray;display:flex;align-items:center;}.bk-root .bk-above .bk-tool-overflow,.bk-root .bk-below .bk-tool-overflow,.bk-root .bk-horizontal .bk-tool-overflow{width:15px;height:30px;flex-direction:row;}.bk-root .bk-left .bk-tool-overflow,.bk-root .bk-right .bk-tool-overflow,.bk-root .bk-vertical .bk-tool-overflow{width:30px;height:15px;flex-direction:column;}.bk-root .bk-tool-icon-copy-to-clipboard{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUSDBoBvcHQeQAAAG9JREFUWMNjXLhsJcNAAiaGAQYwB/xHwh/Q+ITEkfHQCwEWND4jmeb8H/JpgBwfI6cNBhLSEkqaGXRpgFRAcZoZsmlg1AGjDhh1wKgDRh0w6gCaVcf/R2wIkNqw+D9s0wADvUNiyIYA47BJAwPuAAAj/Cjd0TCN6wAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-replace-mode{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC");}.bk-root .bk-tool-icon-append-mode{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-intersect-mode{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC");}.bk-root .bk-tool-icon-subtract-mode{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-clear-selection{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-box-select{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-box-zoom{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-zoom-in{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-zoom-out{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-help{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-hover{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4oVHp0SwAAAQJJREFUWMPtlsENgzAMRb8RQ5VJItFDOgaZAMaAA0iZpN3KPZSoEEHSQBCViI/G8pfNt/KAFFcPshPdoAGgZkYVVYjQAFCyFLN8tlAbXRwAxp61nc9XCkGERpZCxRDvBl0zoxp7K98GAACxxH29srNNmPsK2l7zHoHHXZDr+/9vwDfB3kgeSB5IHkgeOH0DmesJjSXi6pUvkYt5u9teVy6aWREDM0D0BRvmGRV5N6DsQkMzI64FidtI5t3AOKWaFhuioY8dlYf9TO1PREUh/9HVeAqzIThHgWZ6MuNmC1jiL1mK4pAzlKUojEmNsxcmL0J60tazWjLZFpClPbd9BMJfL95145YajN5RHQAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-crosshair{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-lasso-select{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-pan{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4lKssI9gAAAOtJREFUWMPVll0KwyAMgNPgoc0JzDX2Mtgp3csKErSamGabIEUo/T6bHz0ezxdsjPJ5kvUDaROem7VJAp3gufkbtwtI+JYEOsHNEugIN0mgM1wtsVoF1MnyKtZHZBW4DVxoMh6jaAW0MTfnBAbALyUwCD6UwEB4VyJN4FXx4aqUAACgFLjzrsRP9AECAP4Cm88QtJeJrGivdeNdPpko+j1H7XzUB+6WYHmo4eDk4wj41XFMEfBZGXpK0F/eB+QhVcXslVo7i6eANjF5NYSojCN7wi05MJNgbfKiMaPZA75TBVKCrWWbnGrb3DPePZ9Bcbe/QecAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-xpan{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4X4hxZdgAAAMpJREFUWMPtlsEKwjAMhr/pwOOedINJe/PobWXCfAIvgo/nA4heOiilZQqN2yE5lpD/I38SWt3uD9aMHSuHAiiAAmwaYCqoM/0KMABtQYDW11wEaHyiEei28bWb8LGOkk5C4iEEgE11YBQWDyHGuAMD0CeS30IQPfACbC3o+Vd2bOIOWMCtoO1mC+ap3CfmoCokFs/SZd6E0ILjnzrhvFbyEJ2FIZzXyB6iZ3AkjITn8WOdSbbAoaD4NSW+tIZdQYBOPyQKoAAKkIsPv0se4A/1UC0AAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-ypan{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4anK0lywAAAMVJREFUWMPtlzEKwzAMRX/S7rlpIMXeOnaLaME36FLo8XqCdNFghGljyc4kgQi2Q/SUj0F/eL7eMMTKz6j9wNlYPGRrFcSoLH4XxQPvdQeYuPOlcLbw2dRTgqvoXEaolWM0aP4LYm0NkHYWzyFSSwlmzjw2sR6OvAXNwgEcwAEcwAEcwAEcoGYk20SiMCHlmVoCzACoojEqjHBmCeJOCOo1lgPA7Q8E8TvdjMmHuzsV3NFD4w+1t+Ai/gTx3qHuOFqdMQB8ASMwJX0IEHOeAAAAAElFTkSuQmCC");}.bk-root .bk-tool-icon-range{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-polygon-select{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-redo{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-reset{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4gWqH8eQAABLdJREFUWMPtlktsVGUUx3/nfvfOlLQaY2IiRRMQIRpI0PjamJhoVASDvNpCpYw1vJQYSVwZwIVQF6wwRHmkAUof9ElrI6VqDAXcID4TF0IiYQMkSlTokNCZ+b7jove2t+NMH7rQBWd3v+989/zP+Z8X3Jb/WGQySvUNTQBJESkNguAVYIWqzhaRhwBU9WcR+QXoymazn6jqzUQiMQSQzWZRVdal1vwzAI2tHQBPOuc2AbWTdOyQ53n7nHNfRwee51GzqoIQMCLDpr3x/tLQ0oZzrk5Vj0/BOEBt+KYuOlBVGlrahr0Wob27t3gEjnZ2AyQzmUwHsDgP6J/AYRE553neDwDOuUdU9QngNeCumK4TkRMhZUORcYC1qysLA6iuSQHIwkWLD6lqapQsuSmwTVV3h99I7EcAR462A2xR2Ilq6ehTaejvO1774kuLNALR33eclsaGsQDe3fYegHl43vyNwEeqGl1963mm2jl7YZRTQ82qlWP4HM6ZToC5ztkW4LHQoALru7s6Di5dvlIj/e6ujrEAWoZDn8hmMjXATMACGaAVuBjXTVVXFc/AxhaA+4zvn1DV+eHxVWPMAmvtb5GeMWZyZVhI2rt7qVy2pOh9U1snwIPW2vMi4oWJuBPYHkVAVScPoKmtkzVVK6cEMsyJraHhiCqJqJUwj/JRz7TW1iSSyR2rVyylqa0Ta+24Ic8vXaAEmDFc/l5Z2A/80OibuVyuz/f9ElUdHCmvw82t5HK5h6y1PYhsz2YyGw43t2KtBZHIGwB6+j4rCkBVUdV7gXrggnPuu8h4eP+xMeZS2D0rJYZ6AdAMzAt1b4nI26p6IFZOY8pugijcKSIHVLUK0LyST4vnrVfnWr3mjmP4QTATaERkXkypRFX3isjmuHdRJEK6Ckqquopp06bdKCkp2Sgi7XnGLcg7gzeutwNIiPYc8HixqIrIOlU9ONVIhHPEd851icgSVXUiskVV94gIqoonIt0i8gfQCfwae38e6BWRXuBZz5jZ8VbaOE4EIqlZVUEQBLlkMplS1QER2RwkEnsSyaREDUzyeNsvIhvCMqkH1kdIJ2o+k8iJB1LVVRfjZ6nqqlEAIbdVQGto8Lrv+/dbawcjAL7vc+6bs+zetetfLSHxniIFGofGGsU2oC7eOCbDfZ7nQawBOSAX74SF9oEPImOq+r7nmVmxb5raukZa8UReGmNmhbMkAwwBH467EYVZe49z7kdgenj8k7V2oTHm8kgdWcvrNdVFjR8cHkYzjDH9wLjDaEwEzpwa4MypgWvAjtjxfGNMj4jMiT+M+kFsZI/Q6Pv+HGNMT8w4wI7TAyevxXVPD5z8+zD64tRXAMHVK1eaVLUyVvuDqroV2BOnJF4ZIedviUidqt4Re9s+vbx8zZXLl7PR2+nl5Tz/zNOFp2FzxzGAklw22wUsLLaSKXwf8vhosZUM6PeDYEUum70VHfpBwKsVyyfeikOP6oBNwN1TrLbfgX3A1kKLzKeff8nLLzw38T5wZDgxn1LnNk5lLRfP26/OnR2hwfNYW2Atn9RCsrf+EECyrKysDFimqhXhyjY3VLkAXBKRDqA7nU6nS0tLhyIj6XSaN9bVclv+l/IXAmkwvZc+jNUAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-save{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4UexUIzAAAAIRJREFUWMNjXLhs5X+GAQRMDAMMWJDYjGhyf7CoIQf8x2H+f0KGM9M7BBio5FNcITo408CoA0YdQM1cwEhtB/ylgqMkCJmFLwrOQguj/xTg50hmkeyARAYGhlNUCIXjDAwM0eREwTUGBgbz0Ww46oBRB4w6YNQBow4YdcCIahP+H5EhAAAH2R8hH3Rg0QAAAABJRU5ErkJggg==");}.bk-root .bk-tool-icon-tap-select{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-undo{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-wheel-pan{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-wheel-zoom{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-box-edit{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4QfHjM1QAAAGRJREFUWMNjXLhsJcNAAiaGAQYsDAwM/+lsJ+OgCwGsLqMB+D8o08CoA0YdMOqAUQewDFQdMBoFIyoN/B/U7YFRB7DQIc7xyo9GwbBMA4xDqhxgISH1klXbDYk0QOseEeOgDgEAIS0JQleje6IAAAAASUVORK5CYII=");}.bk-root .bk-tool-icon-freehand-draw{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-poly-draw{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-point-draw{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-poly-edit{background-image:url("data:image/png;base64,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");}.bk-root .bk-tool-icon-line-edit{background-image:url("data:image/png;base64,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");}.bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .bk-divider{cursor:default;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-context-menu.bk-horizontal > .bk-divider{width:1px;margin:5px 0;}.bk-root .bk-context-menu.bk-vertical > .bk-divider{height:1px;margin:0 5px;}.bk-root .bk-context-menu > :not(.bk-divider){border:1px solid transparent;}.bk-root .bk-context-menu > :not(.bk-divider).bk-active{border-color:#26aae1;}.bk-root .bk-context-menu > :not(.bk-divider):hover{background-color:#f9f9f9;}.bk-root .bk-context-menu > :not(.bk-divider):focus,.bk-root .bk-context-menu > :not(.bk-divider):focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-context-menu > :not(.bk-divider)::-moz-focus-inner{border:0;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child{border-top-left-radius:4px;border-bottom-left-radius:4px;}.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child{border-top-right-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child{border-top-left-radius:4px;border-top-right-radius:4px;}.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child{border-bottom-left-radius:4px;border-bottom-right-radius:4px;}.bk-root .bk-menu{position:absolute;left:0;width:100%;z-index:100;cursor:pointer;font-size:12px;background-color:#fff;border:1px solid #ccc;border-radius:4px;box-shadow:0 6px 12px rgba(0, 0, 0, 0.175);}.bk-root .bk-menu.bk-above{bottom:100%;}.bk-root .bk-menu.bk-below{top:100%;}.bk-root .bk-menu > .bk-divider{height:1px;margin:7.5px 0;overflow:hidden;background-color:#e5e5e5;}.bk-root .bk-menu > :not(.bk-divider){padding:6px 12px;}.bk-root .bk-menu > :not(.bk-divider):hover,.bk-root .bk-menu > :not(.bk-divider).bk-active{background-color:#e6e6e6;}.bk-root .bk-caret{display:inline-block;vertical-align:middle;width:0;height:0;margin:0 5px;}.bk-root .bk-caret.bk-down{border-top:4px solid;}.bk-root .bk-caret.bk-up{border-bottom:4px solid;}.bk-root .bk-caret.bk-down,.bk-root .bk-caret.bk-up{border-right:4px solid transparent;border-left:4px solid transparent;}.bk-root .bk-caret.bk-left{border-right:4px solid;}.bk-root .bk-caret.bk-right{border-left:4px solid;}.bk-root .bk-caret.bk-left,.bk-root .bk-caret.bk-right{border-top:4px solid transparent;border-bottom:4px solid transparent;}.bk-root{}.bk-root .bk-tooltip{font-weight:300;font-size:12px;position:absolute;padding:5px;border:1px solid #e5e5e5;color:#2f2f2f;background-color:white;pointer-events:none;opacity:0.95;z-index:100;}.bk-root .bk-tooltip > div:not(:first-child){margin-top:5px;border-top:#e5e5e5 1px dashed;}.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:" ";display:block;left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-left::before{left:-10px;border-right-width:10px;border-right-color:#909599;}.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after{position:absolute;margin:-7px 0 0 0;top:50%;width:0;height:0;border-style:solid;border-width:7px 0 7px 0;border-color:transparent;content:" ";display:block;right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-right::after{right:-10px;border-left-width:10px;border-left-color:#909599;}.bk-root .bk-tooltip.bk-above::before{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:" ";display:block;top:-10px;border-bottom-width:10px;border-bottom-color:#909599;}.bk-root .bk-tooltip.bk-below::after{position:absolute;margin:0 0 0 -7px;left:50%;width:0;height:0;border-style:solid;border-width:0 7px 0 7px;border-color:transparent;content:" ";display:block;bottom:-10px;border-top-width:10px;border-top-color:#909599;}.bk-root .bk-tooltip-row-label{text-align:right;color:#26aae1;}.bk-root .bk-tooltip-row-value{color:default;}.bk-root .bk-tooltip-color-block{width:12px;height:12px;margin-left:5px;margin-right:5px;outline:#dddddd solid 1px;display:inline-block;}
Providing data — Bokeh 2.4.3 Documentation
Providing data
The basis for any data visualization is the underlying data. This section
describes the various ways to provide data to Bokeh, from passing data values
directly to creating a ColumnDataSource (CDS) and filtering the data with a
CDSView
.
Providing data with Python lists
Use standard Python lists of data to pass values directly into a plotting
function.
In this example, the lists x_values
and y_values
pass data
to the circle()
function (see
plotting function for more examples):
from bokeh.plotting import figure
x_values = [ 1 , 2 , 3 , 4 , 5 ]
y_values = [ 6 , 7 , 2 , 3 , 6 ]
p = figure ()
p . circle ( x = x_values , y = y_values )
Copy to clipboard
Providing NumPy data
Similarly to using Python lists and arrays, you can also work with NumPy data
structures in Bokeh:
import numpy as np
from bokeh.plotting import figure
x = [ 1 , 2 , 3 , 4 , 5 ]
random = np . random . standard_normal ( 5 )
cosine = np . cos ( x )
p = figure ()
p . circle ( x = x , y = random )
p . line ( x = x , y = cosine )
Copy to clipboard
Providing data as a ColumnDataSource
The ColumnDataSource (CDS) is the core of most Bokeh plots. It provides the
data to the glyphs of your plot.
When you pass sequences like Python lists or NumPy arrays to a Bokeh renderer,
Bokeh automatically creates a ColumnDataSource with this data for you. However,
creating a ColumnDataSource yourself gives you access to more advanced options.
For example: Creating your own ColumnDataSource allows you to share data
between multiple plots and widgets. If you use a single ColumnDataSource
together with multiple renderers, those renderers also share information about
data you select with a select tool from Bokeh’s toolbar (see
Linked selection ).
Think of a ColumnDataSource as a collection of sequences of data that each have
their own, unique column name.
Creating a ColumnDataSource
To create a basic ColumnDataSource object, you need a Python dictionary to
pass to the object’s data
parameter:
The data you pass as part of your dict can be any non-string ordered sequences
of values, such as lists or arrays (including NumPy arrays and pandas Series):
data = { 'x_values' : [ 1 , 2 , 3 , 4 , 5 ],
'y_values' : [ 6 , 7 , 2 , 3 , 6 ]}
source = ColumnDataSource ( data = data )
Copy to clipboard
Note
All columns in a ColumnDataSource have the same length. Therefore, all sequences
of values that you pass to a single ColumnDataSource must have the
same length as well. If you try to pass sequences of different lengths, Bokeh
will not be able to create your ColumnDataSource.
Plotting with a ColumnDataSource
To use a ColumnDataSource with a renderer function, you need to pass at least
these three arguments:
x
: the name of the ColumnDataSource’s column that contains the data for
the x values of your plot
y
: the name of the ColumnDataSource’s column that contains the data for
the y values of your plot
source
: the name of the ColumnDataSource that contains the columns you
just referenced for the x
and y
arguments.
For example:
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource
# create a Python dict as the basis of your ColumnDataSource
data = { 'x_values' : [ 1 , 2 , 3 , 4 , 5 ],
'y_values' : [ 6 , 7 , 2 , 3 , 6 ]}
# create a ColumnDataSource by passing the dict
source = ColumnDataSource ( data = data )
# create a plot using the ColumnDataSource's two columns
p = figure ()
p . circle ( x = 'x_values' , y = 'y_values' , source = source )
Copy to clipboard
Modifying a ColumnDataSource
To modify the data of an existing ColumnDataSource, update the .data
property of your ColumnDataSource object:
To add a new column to an existing ColumnDataSource:
new_sequence = [ 8 , 1 , 4 , 7 , 3 ]
source . data [ "new_column" ] = new_sequence
Copy to clipboard
Note
The length of the column you are adding must match the length of the
existing columns.
To replace all data in an existing ColumnDataSource, assign the .data
property an entirely new dict:
source . data = new_dict
Copy to clipboard
Note
Replacing the entire contents of a ColumnDataSource is also the only way to
update the lengths of its columns. When you update data in a way that
changes the length of any column, you must update all columns at the same
time by passing an new dict. It is not possible to update column lengths one
column at a time.
Using a pandas DataFrame
The data
parameter can also be a pandas DataFrame
or GroupBy
object:
source = ColumnDataSource ( df )
Copy to clipboard
If you use a pandas DataFrame
, the resulting ColumnDataSource in Bokeh will
have columns that correspond to the columns of the DataFrame
. The naming of
the columns follows these rules:
If the DataFrame
has a named index column, the ColumnDataSource will also
have a column with this name.
If the index name is None
, the ColumnDataSource will have a generic name:
either index
(if that name is available) or level_0
.
Using a pandas MultiIndex
If you use a pandas MultiIndex
as the basis for a Bokeh
ColumnDataSource
, Bokeh flattens the columns and indices before creating
the ColumnDataSource. For the index, Bokeh creates an index of tuples and joins
the names of the MultiIndex
with an underscore. The column names will also be
joined with an underscore. For example:
df = pd . DataFrame ({( 'a' , 'b' ): {( 'A' , 'B' ): 1 , ( 'A' , 'C' ): 2 },
( 'b' , 'a' ): {( 'A' , 'C' ): 7 , ( 'A' , 'B' ): 8 },
( 'b' , 'b' ): {( 'A' , 'D' ): 9 , ( 'A' , 'B' ): 10 }})
cds = ColumnDataSource ( df )
Copy to clipboard
This will result in a column named index
with [(A, B), (A, C), (A, D)]
,
as well as columns named a_b
, b_a
, and b_b
.
This process only works with column names that are strings. If you are using
non-string column names, you need to manually flatten the DataFrame
before
using it as the basis of a Bokeh ColumnDataSource
.
Using pandas GroupBy
group = df . groupby (( 'colA' , 'ColB' ))
source = ColumnDataSource ( group )
Copy to clipboard
If you use a pandas GroupBy
object, the columns of the ColumnDataSource
correspond to the result of calling group.describe()
. The describe
method generates columns for statistical measures such as mean
and count
for all the non-grouped original columns.
The resulting DataFrame
has MultiIndex
columns with the original column
name and the computed measure. Bokeh flattens the data using the rules described
above.
For example: If a DataFrame
has the columns 'year'
and 'mpg'
,
passing df.groupby('year')
to a ColumnDataSource will result in columns such
as 'mpg_mean'
.
Note
Adapting GroupBy
objects requires pandas version 0.20.0 or above.
Appending data to a ColumnDataSource
ColumnDataSource streaming is an efficient way to append new data to a
ColumnDataSource. When you use the
stream()
method, Bokeh only sends
new data to the browser instead of sending the entire dataset.
The stream()
method takes a
new_data
parameter. This parameter expects a dict that maps column names
to the sequences of data that you want appended to the respective columns.
The method takes an additional, optional argument rollover
. This is the
maximum length of data to keep. When there is more data than defined by your
maximum value, Bokeh will discard data from the beginning of the column. The
default value for rollover
is None
. This default value allows data to
grow unbounded.
source = ColumnDataSource ( data = dict ( foo = [], bar = []))
# has new, identical-length updates for all columns in source
new_data = {
'foo' : [ 10 , 20 ],
'bar' : [ 100 , 200 ],
}
source . stream ( new_data )
Copy to clipboard
For an example that uses streaming, see examples/app/ohlc .
Replacing data in a ColumnDataSource
ColumnDataSource patching is an efficient way to update slices of a data
source. By using the patch()
method, Bokeh only sends new data to the browser instead of the entire
dataset.
The patch()
requires a dict which
maps column names to list of tuples that represent a patch change to apply.
Examples of tuples that you can use with
patch()
:
( index , new_value ) # replace a single column value
# or
( slice , new_values ) # replace several column values
Copy to clipboard
For a full example, see examples/howto/patch_app.py .
Filtering data
Bokeh uses a concept called “view” to select subsets of data. Views are
represented by Bokeh’s CDSView
class. When you use a view, you can use one or
more filters to select specific data points without changing the underlying
data. You can also share those views between different plots.
To plot with a filtered subset of data, pass a CDSView
to the view
argument of any renderer method on a Bokeh plot.
A CDSView
has two properties, source
and filters
:
source
is the ColumnDataSource that the you want to apply the filters
to.
filters
is a list of Filter
objects, listed and described below.
In this example, you create a CDSView
called view
. view
uses the
ColumnDataSource source
and a list of two filters, filter1
and
filter2
. view
is then passed to a circle()
renderer function:
from bokeh.plotting import figure
from bokeh.models import ColumnDataSource , CDSView
source = ColumnDataSource ( some_data )
view = CDSView ( source = source , filters = [ filter1 , filter2 ])
p = figure ()
p . circle ( x = "x" , y = "y" , source = source , view = view )
Copy to clipboard
IndexFilter
The IndexFilter
is the simplest filter type. It has an indices
property,
which is a list of integers that are the indices of the data you want to include
in your plot.
from bokeh.layouts import gridplot
from bokeh.models import CDSView , ColumnDataSource , IndexFilter
from bokeh.plotting import figure , show
source = ColumnDataSource ( data = dict ( x = [ 1 , 2 , 3 , 4 , 5 ], y = [ 1 , 2 , 3 , 4 , 5 ]))
view = CDSView ( source = source , filters = [ IndexFilter ([ 0 , 2 , 4 ])])
tools = [ "box_select" , "hover" , "reset" ]
p = figure ( height = 300 , width = 300 , tools = tools )
p . circle ( x = "x" , y = "y" , size = 10 , hover_color = "red" , source = source )
p_filtered = figure ( height = 300 , width = 300 , tools = tools )
p_filtered . circle ( x = "x" , y = "y" , size = 10 , hover_color = "red" , source = source , view = view )
show ( gridplot ([[ p , p_filtered ]]))
Copy to clipboard
BooleanFilter
A BooleanFilter
selects rows from a data source using a list of True
or
False
values in its booleans
property.
from bokeh.layouts import gridplot
from bokeh.models import BooleanFilter , CDSView , ColumnDataSource
from bokeh.plotting import figure , show
source = ColumnDataSource ( data = dict ( x = [ 1 , 2 , 3 , 4 , 5 ], y = [ 1 , 2 , 3 , 4 , 5 ]))
booleans = [ True if y_val > 2 else False for y_val in source . data [ 'y' ]]
view = CDSView ( source = source , filters = [ BooleanFilter ( booleans )])
tools = [ "box_select" , "hover" , "reset" ]
p = figure ( height = 300 , width = 300 , tools = tools )
p . circle ( x = "x" , y = "y" , size = 10 , hover_color = "red" , source = source )
p_filtered = figure ( height = 300 , width = 300 , tools = tools ,
x_range = p . x_range , y_range = p . y_range )
p_filtered . circle ( x = "x" , y = "y" , size = 10 , hover_color = "red" , source = source , view = view )
show ( gridplot ([[ p , p_filtered ]]))
Copy to clipboard
GroupFilter
The GroupFilter
is a filter for categorical data. With this filter, you can
select rows from a dataset that are members of a specific category.
The GroupFilter
has two properties:
In the example below, the data set flowers
contains a categorical variable
called species
. All data belongs to one of the three species categories
setosa
, versicolor
, or virginica
. The second plot in this example
uses a GroupFilter
to only display data points that are a member of the
category setosa
:
from bokeh.layouts import gridplot
from bokeh.models import CDSView , ColumnDataSource , GroupFilter
from bokeh.plotting import figure , show
from bokeh.sampledata.iris import flowers
source = ColumnDataSource ( flowers )
view1 = CDSView ( source = source , filters = [ GroupFilter ( column_name = 'species' , group = 'versicolor' )])
plot_size_and_tools = { 'height' : 300 , 'width' : 300 ,
'tools' :[ 'box_select' , 'reset' , 'help' ]}
p1 = figure ( title = "Full data set" , ** plot_size_and_tools )
p1 . circle ( x = 'petal_length' , y = 'petal_width' , source = source , color = 'black' )
p2 = figure ( title = "Setosa only" , x_range = p1 . x_range , y_range = p1 . y_range , ** plot_size_and_tools )
p2 . circle ( x = 'petal_length' , y = 'petal_width' , source = source , view = view1 , color = 'red' )
show ( gridplot ([[ p1 , p2 ]]))
Copy to clipboard
CustomJSFilter
You can also use your own JavaScript or TypeScript code to create customized
filters. To include your custom filter code, use Bokeh’s CustomJSFilter
class.
Pass your code as a string to the parameter code
of the CustomJSFilter.
Your JavaScript or TypeScript code needs to return either a list of indices or a
list of booleans representing the filtered subset. You can access the
ColumnDataSource you are using with CDSView
from within your JavaScript or
TypeScript code. Bokeh makes the ColumnDataSource available through the variable
source
:
custom_filter = CustomJSFilter ( code = '''
const indices = [];
// iterate through rows of data source and see if each satisfies some constraint
for (let i = 0; i < source.get_length(); i++){
if (source.data['some_column'][i] == 'some_value'){
indices.push(true);
} else {
indices.push(false);
}
}
return indices;
''' )
Copy to clipboard
AjaxDataSource
Updating and streaming data works very well with
Bokeh server applications . However, it is also possible
to use similar functionality in standalone documents. The
AjaxDataSource
provides this capability without
requiring a Bokeh server.
To set up an AjaxDataSource
, you need to configure it with a URL to a REST
endpoint and a polling interval.
In the browser, the data source requests data from the endpoint at the specified
interval. It then uses the data from the endpoint to update the data locally.
Updating data locally can happen in two ways: either by replacing the existing
local data entirely or by appending the new data to the existing data (up to a
configurable max_size
). Replacing local data is the default setting. Pass
either "replace"
or "append"``as the AjaxDataSource's ``mode
argument to
control this behavior.
The endpoint that you are using with your AjaxDataSource
needs to return a
JSON dict that matches the standard ColumnDataSource format:
{
'x' : [ 1 , 2 , 3 , ... ],
'y' : [ 9 , 3 , 2 , ... ]
}
Copy to clipboard
Otherwise, using an AjaxDataSource
is identical to using a standard
ColumnDataSource
:
# setup AjaxDataSource with URL and polling interval
source = AjaxDataSource ( data_url = 'http://some.api.com/data' ,
polling_interval = 100 )
# use the AjaxDataSource just like a ColumnDataSource
p . circle ( 'x' , 'y' , source = source )
Copy to clipboard
This a preview of what a stream of live data in Bokeh can look like using
AjaxDataSource
:
For the full example, see examples/howto/ajax_source.py in Bokeh’s
GitHub repository.
Linked selection
You can share selections between two plots if both of the plots use the same
ColumnDataSource :
from bokeh.io import output_file , show
from bokeh.layouts import gridplot
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
output_file ( "brushing.html" )
x = list ( range ( - 20 , 21 ))
y0 = [ abs ( xx ) for xx in x ]
y1 = [ xx ** 2 for xx in x ]
# create a column data source for the plots to share
source = ColumnDataSource ( data = dict ( x = x , y0 = y0 , y1 = y1 ))
TOOLS = "box_select,lasso_select,help"
# create a new plot and add a renderer
left = figure ( tools = TOOLS , width = 300 , height = 300 , title = None )
left . circle ( 'x' , 'y0' , source = source )
# create another new plot and add a renderer
right = figure ( tools = TOOLS , width = 300 , height = 300 , title = None )
right . circle ( 'x' , 'y1' , source = source )
p = gridplot ([[ left , right ]])
show ( p )
Copy to clipboard
Linked selection with filtered data
Using a ColumnDataSource , you can also have two plots that are based on the
same data but each use a different subset of that data. Both plots still share
selections and hovered inspections through the ColumnDataSource they are based
on.
The following example demonstrates this behavior:
The second plot is a subset of the data of the first plot. The second plot
uses a CDSView
to include only y values that are either greater than 250 or
less than 100.
If you make a selection with the BoxSelect
tool in either plot, the
selection is automatically reflected in the other plot as well.
If you hover on a point in one plot, the corresponding point in the other plot
is automatically highlighted as well, if it exists.
from bokeh.layouts import gridplot
from bokeh.models import BooleanFilter , CDSView , ColumnDataSource
from bokeh.plotting import figure , output_file , show
output_file ( "linked_selection_subsets.html" )
x = list ( range ( - 20 , 21 ))
y0 = [ abs ( xx ) for xx in x ]
y1 = [ xx ** 2 for xx in x ]
# create a column data source for the plots to share
source = ColumnDataSource ( data = dict ( x = x , y0 = y0 , y1 = y1 ))
# create a view of the source for one plot to use
view = CDSView ( source = source , filters = [ BooleanFilter ([ True if y > 250 or y < 100 else False for y in y1 ])])
TOOLS = "box_select,lasso_select,hover,help"
# create a new plot and add a renderer
left = figure ( tools = TOOLS , width = 300 , height = 300 , title = None )
left . circle ( 'x' , 'y0' , size = 10 , hover_color = "firebrick" , source = source )
# create another new plot, add a renderer that uses the view of the data source
right = figure ( tools = TOOLS , width = 300 , height = 300 , title = None )
right . circle ( 'x' , 'y1' , size = 10 , hover_color = "firebrick" , source = source , view = view )
p = gridplot ([[ left , right ]])
show ( p )
Copy to clipboard
Other data types
You can also use Bokeh to render network graph data and geographical data. For
more information about how to set up the data for these types of plots, see
Visualizing network graphs and Mapping geo data .