iplot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "UsageError: Line magic function `%import` not found.\n"
     ]
    }
   ],
   "source": [
    "import cufflinks as cf\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import chart_studio.plotly as py\n",
    "import seaborn\n",
    "import plotly.express as px\n",
    "%import matplotlib inline\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "init_notebook_mode(connected=True)\n",
    "cf.go_offline()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          A         B         C         D\n",
      "0  1.424474  1.350389  1.530264  1.593704\n",
      "1  0.818021  0.181790 -1.219170  1.454776\n",
      "2 -0.238542  0.698331  0.519055 -0.729768\n",
      "3  0.755209  0.071053 -1.328592 -1.490937\n",
      "4 -0.844757 -0.831606 -0.241383 -0.343202\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
        {
         "line": {
          "color": "rgba(255, 153, 51, 1.0)",
          "dash": "solid",
          "shape": "linear",
          "width": 1.3
         },
         "mode": "lines",
         "name": "A",
         "text": "",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4,
          5,
          6,
          7,
          8,
          9,
          10,
          11,
          12,
          13,
          14,
          15,
          16,
          17,
          18,
          19,
          20,
          21,
          22,
          23,
          24,
          25,
          26,
          27,
          28,
          29,
          30,
          31,
          32,
          33,
          34,
          35,
          36,
          37,
          38,
          39,
          40,
          41,
          42,
          43,
          44,
          45,
          46,
          47,
          48,
          49
         ],
         "y": [
          1.4244738800282368,
          0.8180205739587056,
          -0.2385424411017614,
          0.7552087689730411,
          -0.844756541823573,
          -0.3675636688186147,
          0.4667630051095626,
          -0.3007798044677001,
          1.3977011561488408,
          -0.09808195173054803,
          -0.7784914015045001,
          1.2296315894783763,
          1.019591124831594,
          1.336442127568185,
          -0.4378407778704559,
          1.3135218422417196,
          -0.8442855390373951,
          -1.2345435785776961,
          0.026129504190096534,
          -0.25595305328481677,
          -0.9616047680155646,
          -0.6234947645240675,
          0.19715808958197165,
          -0.20648443026607477,
          0.2448815538649929,
          1.0514917727780415,
          0.5071196366871203,
          -0.1314936353320063,
          1.3201410865169048,
          0.1058401001629882,
          -0.5788493229073765,
          1.6607412799405024,
          -0.1755296334684658,
          1.708094810922174,
          1.174159985630572,
          -1.0785178156597621,
          0.2291660537535951,
          -0.8309930888374056,
          0.6617602811352452,
          -1.5865733244298095,
          -0.0018478341160424667,
          -0.9689524319758829,
          0.47943820608708926,
          -0.1175810317608148,
          0.15041394490287976,
          1.6959719285192336,
          -0.3669416451377145,
          0.28624525907441456,
          0.49287180802631925,
          -0.16913464744528084
         ]
        },
        {
         "line": {
          "color": "rgba(55, 128, 191, 1.0)",
          "dash": "solid",
          "shape": "linear",
          "width": 1.3
         },
         "mode": "lines",
         "name": "B",
         "text": "",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4,
          5,
          6,
          7,
          8,
          9,
          10,
          11,
          12,
          13,
          14,
          15,
          16,
          17,
          18,
          19,
          20,
          21,
          22,
          23,
          24,
          25,
          26,
          27,
          28,
          29,
          30,
          31,
          32,
          33,
          34,
          35,
          36,
          37,
          38,
          39,
          40,
          41,
          42,
          43,
          44,
          45,
          46,
          47,
          48,
          49
         ],
         "y": [
          1.3503888757357276,
          0.1817901229063629,
          0.6983312662281503,
          0.07105336913854997,
          -0.831606391709562,
          -1.1041682943581412,
          -0.4624075681482264,
          -0.8861176289801964,
          -1.1486702408492644,
          1.0546890315192825,
          -1.1243675727228781,
          -0.24348784442446347,
          -0.7507607809264999,
          0.26430603002283276,
          0.30362936265134116,
          -0.7738250942027861,
          0.48934129122540637,
          -1.9091587697414842,
          -1.903737924998296,
          2.2296281986408744,
          -0.14257312258163427,
          0.6415617277739364,
          -0.06973040990048861,
          -1.220089078586494,
          0.5872712530186697,
          -0.17487878904728696,
          0.5036312557086825,
          0.24420959164116687,
          1.2587578723399568,
          -0.31247959812531334,
          -0.3042629698489179,
          0.2605332689632326,
          0.5040057209954918,
          2.8906043754166353,
          2.4436560541993333,
          2.281467900190218,
          -0.331578594561496,
          0.5049405247680648,
          0.1506049951487389,
          0.6576240552738816,
          1.075570498797266,
          -0.4234079820860093,
          -0.7243754604168425,
          -1.5598856308642817,
          1.3948942149664807,
          1.5744007827188626,
          -0.7603369099189183,
          -0.17453281346085564,
          -0.9781006923944012,
          0.49049746487288415
         ]
        },
        {
         "line": {
          "color": "rgba(50, 171, 96, 1.0)",
          "dash": "solid",
          "shape": "linear",
          "width": 1.3
         },
         "mode": "lines",
         "name": "C",
         "text": "",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4,
          5,
          6,
          7,
          8,
          9,
          10,
          11,
          12,
          13,
          14,
          15,
          16,
          17,
          18,
          19,
          20,
          21,
          22,
          23,
          24,
          25,
          26,
          27,
          28,
          29,
          30,
          31,
          32,
          33,
          34,
          35,
          36,
          37,
          38,
          39,
          40,
          41,
          42,
          43,
          44,
          45,
          46,
          47,
          48,
          49
         ],
         "y": [
          1.5302642673652491,
          -1.2191699746139453,
          0.5190548375898066,
          -1.328592417980812,
          -0.24138335473412245,
          -0.4996377817939969,
          0.6974942394725632,
          -1.2769410318433903,
          -0.6810003766781204,
          1.007360141004098,
          -0.08577130310287236,
          -1.798593879131047,
          1.478825351183159,
          -0.18394307862373807,
          -0.016158055379337427,
          0.7368838203042342,
          -1.0065743743407423,
          2.176808588107628,
          -0.471530327209768,
          -0.7136013854915363,
          0.1727763342313202,
          0.590298261456218,
          -0.47452057540096665,
          1.396254362144799,
          -0.2211174815743372,
          -2.116714770737887,
          0.6860183370947835,
          0.3060529193051453,
          -1.2646312787104037,
          1.2150132712449893,
          1.0583263649768315,
          0.02768276304050927,
          1.739209377804507,
          -0.23872403639929227,
          -0.4723039956419773,
          -0.07311038498528415,
          1.3279997238196994,
          0.28152667085583233,
          0.7583167318590226,
          0.36765663099867246,
          0.007540873257643705,
          -0.9260752800060185,
          0.17484351859266717,
          1.7156498762411545,
          0.01129342923925739,
          -0.37445931508119135,
          -0.06192432371701948,
          1.455764695612614,
          1.5018403326326342,
          0.6970878847060371
         ]
        },
        {
         "line": {
          "color": "rgba(128, 0, 128, 1.0)",
          "dash": "solid",
          "shape": "linear",
          "width": 1.3
         },
         "mode": "lines",
         "name": "D",
         "text": "",
         "type": "scatter",
         "x": [
          0,
          1,
          2,
          3,
          4,
          5,
          6,
          7,
          8,
          9,
          10,
          11,
          12,
          13,
          14,
          15,
          16,
          17,
          18,
          19,
          20,
          21,
          22,
          23,
          24,
          25,
          26,
          27,
          28,
          29,
          30,
          31,
          32,
          33,
          34,
          35,
          36,
          37,
          38,
          39,
          40,
          41,
          42,
          43,
          44,
          45,
          46,
          47,
          48,
          49
         ],
         "y": [
          1.5937042530071277,
          1.4547760384844854,
          -0.7297682312856334,
          -1.4909368883444027,
          -0.3432019284268762,
          0.9326101801334798,
          -0.025665214710134825,
          -0.34150939731082663,
          -0.08771069881439336,
          0.9636585340005623,
          1.302408409186811,
          -0.10312890522310794,
          -1.617593350888855,
          -2.401199743634247,
          0.46422320067598627,
          1.0281108824780305,
          -0.5573314200018936,
          0.7963452611056863,
          0.09707989174281452,
          1.0399135092981233,
          -0.33554671743199166,
          0.25738787457030676,
          1.497187917794375,
          -0.14968852669837335,
          0.22784627499798132,
          0.2657794219842015,
          -0.9632150621980624,
          0.8371516781936147,
          0.43616910778664564,
          1.053193107198835,
          1.4767413396030895,
          -2.775537113415357,
          1.1293748721939108,
          -1.1311707746416806,
          -1.3703112894764031,
          -0.9367027575998793,
          -0.8791306753368144,
          1.4276848536010829,
          1.247637899184573,
          0.06784054067939918,
          -0.9739015056033481,
          1.3707811109902588,
          -1.3267845912544571,
          -0.2568926700397337,
          0.9451500145629826,
          -0.6792985418349161,
          -0.06618226269203946,
          0.8570797114232016,
          0.4790046142117947,
          0.27243922455857844
         ]
        }
       ],
       "layout": {
        "legend": {
         "bgcolor": "#F5F6F9",
         "font": {
          "color": "#4D5663"
         }
        },
        "paper_bgcolor": "#F5F6F9",
        "plot_bgcolor": "#F5F6F9",
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0.0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1.0,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0.0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1.0,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0.0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1.0,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0.0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1.0,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0.0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1.0,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0.0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1.0,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0.0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1.0,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0.0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1.0,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "font": {
          "color": "#4D5663"
         }
        },
        "xaxis": {
         "gridcolor": "#E1E5ED",
         "showgrid": true,
         "tickfont": {
          "color": "#4D5663"
         },
         "title": {
          "font": {
           "color": "#4D5663"
          },
          "text": ""
         },
         "zerolinecolor": "#E1E5ED"
        },
        "yaxis": {
         "gridcolor": "#E1E5ED",
         "showgrid": true,
         "tickfont": {
          "color": "#4D5663"
         },
         "title": {
          "font": {
           "color": "#4D5663"
          },
          "text": ""
         },
         "zerolinecolor": "#E1E5ED"
        }
       }
      },
      "text/html": "<div>                            <div id=\"5facd98a-5ddf-4ef8-a4af-0401d46c7c73\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">                require([\"plotly\"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};\n                    window.PLOTLYENV.BASE_URL='https://plot.ly';                                    if (document.getElementById(\"5facd98a-5ddf-4ef8-a4af-0401d46c7c73\")) {                    Plotly.newPlot(                        \"5facd98a-5ddf-4ef8-a4af-0401d46c7c73\",                        [{\"line\":{\"color\":\"rgba(255, 153, 51, 1.0)\",\"dash\":\"solid\",\"shape\":\"linear\",\"width\":1.3},\"mode\":\"lines\",\"name\":\"A\",\"text\":\"\",\"type\":\"scatter\",\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],\"y\":[1.4244738800282368,0.8180205739587056,-0.2385424411017614,0.7552087689730411,-0.844756541823573,-0.3675636688186147,0.4667630051095626,-0.3007798044677001,1.3977011561488408,-0.09808195173054803,-0.7784914015045001,1.2296315894783763,1.019591124831594,1.336442127568185,-0.4378407778704559,1.3135218422417196,-0.8442855390373951,-1.2345435785776961,0.026129504190096534,-0.25595305328481677,-0.9616047680155646,-0.6234947645240675,0.19715808958197165,-0.20648443026607477,0.2448815538649929,1.0514917727780415,0.5071196366871203,-0.1314936353320063,1.3201410865169048,0.1058401001629882,-0.5788493229073765,1.6607412799405024,-0.1755296334684658,1.708094810922174,1.174159985630572,-1.0785178156597621,0.2291660537535951,-0.8309930888374056,0.6617602811352452,-1.5865733244298095,-0.0018478341160424667,-0.9689524319758829,0.47943820608708926,-0.1175810317608148,0.15041394490287976,1.6959719285192336,-0.3669416451377145,0.28624525907441456,0.49287180802631925,-0.16913464744528084]},{\"line\":{\"color\":\"rgba(55, 128, 191, 1.0)\",\"dash\":\"solid\",\"shape\":\"linear\",\"width\":1.3},\"mode\":\"lines\",\"name\":\"B\",\"text\":\"\",\"type\":\"scatter\",\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],\"y\":[1.3503888757357276,0.1817901229063629,0.6983312662281503,0.07105336913854997,-0.831606391709562,-1.1041682943581412,-0.4624075681482264,-0.8861176289801964,-1.1486702408492644,1.0546890315192825,-1.1243675727228781,-0.24348784442446347,-0.7507607809264999,0.26430603002283276,0.30362936265134116,-0.7738250942027861,0.48934129122540637,-1.9091587697414842,-1.903737924998296,2.2296281986408744,-0.14257312258163427,0.6415617277739364,-0.06973040990048861,-1.220089078586494,0.5872712530186697,-0.17487878904728696,0.5036312557086825,0.24420959164116687,1.2587578723399568,-0.31247959812531334,-0.3042629698489179,0.2605332689632326,0.5040057209954918,2.8906043754166353,2.4436560541993333,2.281467900190218,-0.331578594561496,0.5049405247680648,0.1506049951487389,0.6576240552738816,1.075570498797266,-0.4234079820860093,-0.7243754604168425,-1.5598856308642817,1.3948942149664807,1.5744007827188626,-0.7603369099189183,-0.17453281346085564,-0.9781006923944012,0.49049746487288415]},{\"line\":{\"color\":\"rgba(50, 171, 96, 1.0)\",\"dash\":\"solid\",\"shape\":\"linear\",\"width\":1.3},\"mode\":\"lines\",\"name\":\"C\",\"text\":\"\",\"type\":\"scatter\",\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],\"y\":[1.5302642673652491,-1.2191699746139453,0.5190548375898066,-1.328592417980812,-0.24138335473412245,-0.4996377817939969,0.6974942394725632,-1.2769410318433903,-0.6810003766781204,1.007360141004098,-0.08577130310287236,-1.798593879131047,1.478825351183159,-0.18394307862373807,-0.016158055379337427,0.7368838203042342,-1.0065743743407423,2.176808588107628,-0.471530327209768,-0.7136013854915363,0.1727763342313202,0.590298261456218,-0.47452057540096665,1.396254362144799,-0.2211174815743372,-2.116714770737887,0.6860183370947835,0.3060529193051453,-1.2646312787104037,1.2150132712449893,1.0583263649768315,0.02768276304050927,1.739209377804507,-0.23872403639929227,-0.4723039956419773,-0.07311038498528415,1.3279997238196994,0.28152667085583233,0.7583167318590226,0.36765663099867246,0.007540873257643705,-0.9260752800060185,0.17484351859266717,1.7156498762411545,0.01129342923925739,-0.37445931508119135,-0.06192432371701948,1.455764695612614,1.5018403326326342,0.6970878847060371]},{\"line\":{\"color\":\"rgba(128, 0, 128, 1.0)\",\"dash\":\"solid\",\"shape\":\"linear\",\"width\":1.3},\"mode\":\"lines\",\"name\":\"D\",\"text\":\"\",\"type\":\"scatter\",\"x\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],\"y\":[1.5937042530071277,1.4547760384844854,-0.7297682312856334,-1.4909368883444027,-0.3432019284268762,0.9326101801334798,-0.025665214710134825,-0.34150939731082663,-0.08771069881439336,0.9636585340005623,1.302408409186811,-0.10312890522310794,-1.617593350888855,-2.401199743634247,0.46422320067598627,1.0281108824780305,-0.5573314200018936,0.7963452611056863,0.09707989174281452,1.0399135092981233,-0.33554671743199166,0.25738787457030676,1.497187917794375,-0.14968852669837335,0.22784627499798132,0.2657794219842015,-0.9632150621980624,0.8371516781936147,0.43616910778664564,1.053193107198835,1.4767413396030895,-2.775537113415357,1.1293748721939108,-1.1311707746416806,-1.3703112894764031,-0.9367027575998793,-0.8791306753368144,1.4276848536010829,1.247637899184573,0.06784054067939918,-0.9739015056033481,1.3707811109902588,-1.3267845912544571,-0.2568926700397337,0.9451500145629826,-0.6792985418349161,-0.06618226269203946,0.8570797114232016,0.4790046142117947,0.27243922455857844]}],                        {\"legend\":{\"bgcolor\":\"#F5F6F9\",\"font\":{\"color\":\"#4D5663\"}},\"paper_bgcolor\":\"#F5F6F9\",\"plot_bgcolor\":\"#F5F6F9\",\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5},\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"pattern\":{\"fillmode\":\"overlay\",\"size\":10,\"solidity\":0.2}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"surface\"}],\"table\":[{\"cells\":{\"fill\":{\"color\":\"#EBF0F8\"},\"line\":{\"color\":\"white\"}},\"header\":{\"fill\":{\"color\":\"#C8D4E3\"},\"line\":{\"color\":\"white\"}},\"type\":\"table\"}]},\"layout\":{\"annotationdefaults\":{\"arrowcolor\":\"#2a3f5f\",\"arrowhead\":0,\"arrowwidth\":1},\"autotypenumbers\":\"strict\",\"coloraxis\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"colorscale\":{\"diverging\":[[0,\"#8e0152\"],[0.1,\"#c51b7d\"],[0.2,\"#de77ae\"],[0.3,\"#f1b6da\"],[0.4,\"#fde0ef\"],[0.5,\"#f7f7f7\"],[0.6,\"#e6f5d0\"],[0.7,\"#b8e186\"],[0.8,\"#7fbc41\"],[0.9,\"#4d9221\"],[1,\"#276419\"]],\"sequential\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"sequentialminus\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"title\":{\"font\":{\"color\":\"#4D5663\"}},\"xaxis\":{\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"\"},\"zerolinecolor\":\"#E1E5ED\"},\"yaxis\":{\"gridcolor\":\"#E1E5ED\",\"showgrid\":true,\"tickfont\":{\"color\":\"#4D5663\"},\"title\":{\"font\":{\"color\":\"#4D5663\"},\"text\":\"\"},\"zerolinecolor\":\"#E1E5ED\"}},                        {\"showLink\": true, \"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\", \"responsive\": true}                    ).then(function(){\n                            \nvar gd = document.getElementById('5facd98a-5ddf-4ef8-a4af-0401d46c7c73');\nvar x = new MutationObserver(function (mutations, observer) {{\n        var display = window.getComputedStyle(gd).display;\n        if (!display || display === 'none') {{\n            console.log([gd, 'removed!']);\n            Plotly.purge(gd);\n            observer.disconnect();\n        }}\n}});\n\n// Listen for the removal of the full notebook cells\nvar notebookContainer = gd.closest('#notebook-container');\nif (notebookContainer) {{\n    x.observe(notebookContainer, {childList: true});\n}}\n\n// Listen for the clearing of the current output cell\nvar outputEl = gd.closest('.output');\nif (outputEl) {{\n    x.observe(outputEl, {childList: true});\n}}\n\n                        })                };                });            </script>        </div>"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "arr_1 = np.random.randn(50,4)\n",
    "df_1 = pd.DataFrame(arr_1, columns=['A', 'B', 'C', 'D'])\n",
    "print(df_1.head())\n",
    "df_1.plot()\n",
    "df_1.iplot()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}