COVID_data_analysis-india_0412-v1.ipynb

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    "## India COVID-19 Data Analysis - version 1\n",
    "\n",
    "### Thanks to DataMeet for collecting this original data\n",
    "#### Data - https://github.com/datameet/covid19/tree/master/data\n",
    "\n",
    "### Code developed by Swanand Mhalagi\n",
    "#### For further info\n",
    "#### https://www.linkedin.com/in/swanand-mhalagi-8b1813a7/\n",
    "#### https://github.com/swanandM\n",
    "#### https://medium.com/@swan1991m\n",
    "\n",
    "#### Below code uses Linux packages like NumPy, Pandas, Plotly and Cufflinks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!wget -N -q --timestamping https://raw.githubusercontent.com/datameet/covid19/master/data/mohfw.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-latest.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd \n",
    "import cufflinks as cf\n",
    "import plotly.offline\n",
    "import plotly.graph_objects as go\n",
    "from pandas.io.json import json_normalize  \n",
    "import json  \n",
    "\n",
    "cf.go_offline()\n",
    "cf.set_config_file(offline=False, world_readable=True)\n",
    "\n",
    "# show all pandas columns \n",
    "pd.set_option(\"display.max.columns\", None)"
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read JSON\n",
    "with open('mohfw.json') as f: \n",
    "    d = json.load(f) \n",
    "df = json_normalize(d['rows'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def data_design(state_cases):\n",
    "    #Change the date formate\n",
    "    state_cases['date']=state_cases['value.report_time'].str.split('T').str[0]\n",
    "    #Delete uncessesary columns\n",
    "    state_cases = state_cases.drop(['id','key','value._id','value._rev','value.confirmed_foreign','value.confirmed_india','value.source', 'value.source', 'value.type', 'value.report_time' ], axis=1)\n",
    "    #rename columns\n",
    "    state_cases = state_cases.rename(columns={'value.confirmed':'Confirmed', 'value.cured':'Recovered', 'value.death':'Death', 'value.state':'State'})\n",
    "    #set date as index\n",
    "    state_cases = state_cases.set_index('date') \n",
    "    #Replace state shortforms with original names\n",
    "    state = [\n",
    "    [\"Andhra Pradesh\", \"ap\"],[\"Arunachal Pradesh\", \"ar\"],[\"Assam\", \"as\"], [\"Bihar\", \"br\"], [\"Chattisgarh\",\"ct\"], [\"Chhattisgarh\",\"ct\"],\n",
    "    [\"Goa\",\"ga\"],[\"Gujarat\",\"gj\"], [\"Haryana\",\"hr\"], [\"Himachal Pradesh\",\"hp\"],[\"Jharkhand\",\"jh\"],[\"Karnataka\",\"ka\"],[\"Kerala\",\"kl\"],\n",
    "    [\"Madhya Pradesh\",\"mp\"], [\"Maharashtra\",\"mh\"], [\"Manipur\",\"mn\"], [\"Meghalaya\",\"ml\"], [\"Mizoram\",\"mz\"], [\"Nagaland\",\"nl\"],\n",
    "    [\"Odisha\",\"or\"], [\"Punjab\",\"pb\"], [\"Rajasthan\",\"rj\"], [\"Sikkim\",\"sk\"], [\"Tamil Nadu\",\"tn\"], [\"Telengana\",\"tg\"], [\"Tripura\",\"tr\"],\n",
    "    [\"Uttarakhand\",\"ut\"],[\"Uttar Pradesh\",\"up\"],[\"West Bengal\",\"wb\"], [\"Andaman and Nicobar Islands\",\"an\"],[\"Chandigarh\",\"ch\"], [\"Dadra and Nagar Haveli\",\"dn\"], [\"Daman and Diu\",\"dd\"],\n",
    "    [\"Delhi\",\"dl\"],[\"Jammu and Kashmir\",\"jk\"],[\"Ladakh\",\"la\"],[\"Lakshadweep\",\"ld\"],[\"Pondicherry\",\"py\"],[\"Puducherry\",\"py\"]]\n",
    "    state_short = pd.DataFrame(state, columns = ['State', 'SN']) \n",
    "    change = state_short.set_index('SN').to_dict()['State']\n",
    "    state_cases = state_cases.replace(change)\n",
    "    #state_cases\n",
    "    return state_cases"
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    "state_cases = data_design(df)"
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   "cell_type": "code",
   "execution_count": 6,
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    "def cases_till_today(state_cases, today_date):\n",
    "    till_today = state_cases.loc[today_date]\n",
    "    till_today = till_today.set_index('State') \n",
    "    till_today = till_today.reset_index().drop_duplicates(subset='State',keep='last').set_index('State')\n",
    "    return till_today.iplot(kind='bar', xTitle='State', yTitle='Case Count', title='India: State-wise Case Distribution as of '+ today_date)"
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    "    one_state = one_state.reset_index().drop_duplicates(subset='date',keep='last').set_index('date')\n",
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   "source": [
    "one_state(state_cases,'Maharashtra')"
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   "source": [
    "def state_rate(state_cases, state_name):\n",
    "    one_state_rate = state_cases[state_cases['State'].str.contains(state_name)] \n",
    "    one_state_rate = one_state_rate.reset_index().drop_duplicates(subset='date',keep='last').set_index('date')\n",
    "    one_state_rate = one_state_rate.drop(['State'], axis=1)\n",
    "    one_state_rate = one_state_rate.T\n",
    "    #Diff between two column\n",
    "    one_state_rate = one_state_rate.diff(axis=1)\n",
    "    one_state_rate = one_state_rate.T\n",
    "    return one_state_rate.iplot(mode='lines', xTitle='Date', yTitle='Case Count', title='Case Rate Increase for '+ state_name)"
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     },
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   ],
   "source": [
    "state_rate(state_cases,'Maharashtra')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
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  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "!wget -N -q --timestamping https://raw.githubusercontent.com/datameet/covid19/master/data/all_totals.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read JSON\n",
    "with open('all_totals.json') as f: \n",
    "    d1 = json.load(f) \n",
    "all_total = json_normalize(d1['rows'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def India_case(all_total, case_type):    \n",
    "    ac = all_total[all_total['key'].str.contains(case_type, regex=False)] \n",
    "    ac['key'] = ac['key'].astype(str)\n",
    "    ac['date'] = ac['key'].str.split('T').str[0]\n",
    "    ac['date'] = ac['date'].str.lstrip(\"['\")\n",
    "    ac = ac.reset_index().drop_duplicates(subset='date',keep='last').set_index('date')\n",
    "    ac = ac.drop(['key', 'index'], axis=1)\n",
    "    #rename columns\n",
    "    ac = ac.rename(columns={'value':case_type})\n",
    "    #ac.head()\n",
    "    return ac"
   ]
  },
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   "source": [
    "w = India_case(all_total, 'total_confirmed_cases')\n",
    "x = India_case(all_total, 'active_cases')\n",
    "y = India_case(all_total, 'cured')\n",
    "z = India_case(all_total, 'death')\n",
    "Case_Distri = pd.concat([w,x,y,z], axis=1, join='inner')\n",
    "Case_Distri.iplot(mode='lines', xTitle='Date', yTitle='Case Count', title='Case Distribution of India')"
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    "def India_case_distribution(all_total, case_type):\n",
    "    ac = all_total[all_total['key'].str.contains(case_type, regex=False)] \n",
    "    ac['key'] = ac['key'].astype(str)\n",
    "    ac['date'] = ac['key'].str.split('T').str[0]\n",
    "    ac['date'] = ac['date'].str.lstrip(\"['\")\n",
    "    ac = ac.reset_index().drop_duplicates(subset='date',keep='last').set_index('date')\n",
    "    ac = ac.drop(['key', 'index'], axis=1)\n",
    "    return ac.iplot(kind='bar', xTitle='Date', yTitle='Case Count', title= 'COVID-19 ' + case_type + ' distribution all over India')"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "India_case_distribution(all_total, 'active_cases')\n",
    "India_case_distribution(all_total, 'cured')\n",
    "India_case_distribution(all_total, 'death')\n",
    "India_case_distribution(all_total, 'total_confirmed_cases')"
   ]
  },
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      "Help on method _iplot in module cufflinks.plotlytools:\n",
      "\n",
      "_iplot(kind='scatter', data=None, layout=None, filename='', sharing=None, title='', xTitle='', yTitle='', zTitle='', theme=None, colors=None, colorscale=None, fill=False, width=None, dash='solid', mode='', interpolation='linear', symbol='circle', size=12, barmode='', sortbars=False, bargap=None, bargroupgap=None, bins=None, histnorm='', histfunc='count', orientation='v', boxpoints=False, annotations=None, keys=False, bestfit=False, bestfit_colors=None, mean=False, mean_colors=None, categories='', x='', y='', z='', text='', gridcolor=None, zerolinecolor=None, margin=None, labels=None, values=None, secondary_y='', secondary_y_title='', subplots=False, shape=None, error_x=None, error_y=None, error_type='data', locations=None, lon=None, lat=None, asFrame=False, asDates=False, asFigure=False, asImage=False, dimensions=None, asPlot=False, asUrl=False, online=None, **kwargs) method of pandas.core.frame.DataFrame instance\n",
      "           Returns a plotly chart either as inline chart, image of Figure object\n",
      "    \n",
      "           Parameters:\n",
      "           -----------\n",
      "                   kind : string\n",
      "                           Kind of chart\n",
      "                                   scatter\n",
      "                                   bar\n",
      "                                   box\n",
      "                                   spread\n",
      "                                   ratio\n",
      "                                   heatmap\n",
      "                                   surface\n",
      "                                   histogram\n",
      "                                   bubble\n",
      "                                   bubble3d\n",
      "                                   scatter3d       \n",
      "                                   scattergeo\n",
      "                                   ohlc\n",
      "                                   candle\n",
      "                                   pie\n",
      "                                   choroplet       \n",
      "                   data : Data\n",
      "                           Plotly Data Object.\n",
      "                           If not entered then the Data object will be automatically\n",
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      "                   layout : Layout\n",
      "                           Plotly layout Object\n",
      "                           If not entered then the Layout objet will be automatically\n",
      "                           generated from the DataFrame.\n",
      "                   filename : string\n",
      "                           Filename to be saved as in plotly account\n",
      "                   sharing : string\n",
      "                           Sets the sharing level permission\n",
      "                                   public - anyone can see this chart\n",
      "                                   private - only you can see this chart\n",
      "                                   secret - only people with the link can see the chart\n",
      "                   title : string\n",
      "                           Chart Title                             \n",
      "                   xTitle : string\n",
      "                           X Axis Title\n",
      "                   yTitle : string\n",
      "                           Y Axis Title\n",
      "                                   zTitle : string\n",
      "                   zTitle : string\n",
      "                           Z Axis Title\n",
      "                           Applicable only for 3d charts\n",
      "                   theme : string\n",
      "                           Layout Theme\n",
      "                                   solar\n",
      "                                   pearl\n",
      "                                   white           \n",
      "                           see cufflinks.getThemes() for all \n",
      "                           available themes\n",
      "                   colors : dict, list or string\n",
      "                           {key:color} to specify the color for each column\n",
      "                           [colors] to use the colors in the defined order\n",
      "                   colorscale : string\n",
      "                           Color scale name\n",
      "                           If the color name is preceded by a minus (-) \n",
      "                           then the scale is inversed\n",
      "                           Only valid if 'colors' is null\n",
      "                           See cufflinks.colors.scales() for available scales\n",
      "                   fill : bool\n",
      "                           Filled Traces           \n",
      "                   width : dict, list or int\n",
      "                                   int : applies to all traces\n",
      "                                   list : applies to each trace in the order \n",
      "                                                   specified\n",
      "                                   dict: {column:value} for each column in \n",
      "                                                   the dataframe\n",
      "                           Line width      \n",
      "                   dash : dict, list or string\n",
      "                                   string : applies to all traces\n",
      "                                   list : applies to each trace in the order \n",
      "                                                   specified\n",
      "                                   dict: {column:value} for each column in \n",
      "                                                   the dataframe\n",
      "                           Drawing style of lines\n",
      "                                   solid\n",
      "                                   dash\n",
      "                                   dashdot\n",
      "                                   dot\n",
      "                   mode : dict, list or string\n",
      "                                   string : applies to all traces\n",
      "                                   list : applies to each trace in the order \n",
      "                                                   specified\n",
      "                                   dict: {column:value} for each column in \n",
      "                                                   the dataframe\n",
      "                           Plotting mode for scatter trace\n",
      "                                   lines\n",
      "                                   markers\n",
      "                                   lines+markers\n",
      "                                   lines+text\n",
      "                                   markers+text\n",
      "                                   lines+markers+text\n",
      "                   interpolation : dict, list, or string\n",
      "                                   string : applies to all traces\n",
      "                                   list : applies to each trace in the order \n",
      "                                                   specified\n",
      "                                   dict: {column:value} for each column in \n",
      "                                                   the dataframe\n",
      "                           Positioning of the connecting lines\n",
      "                                   linear\n",
      "                                   spline\n",
      "                                   vhv\n",
      "                                   hvh\n",
      "                                   vh\n",
      "                                   hv              \n",
      "                   symbol : dict, list or string\n",
      "                                   string : applies to all traces\n",
      "                                   list : applies to each trace in the order \n",
      "                                                   specified\n",
      "                                   dict: {column:value} for each column in \n",
      "                                                   the dataframe\n",
      "                           The symbol that is drawn on the plot for each marker\n",
      "                           Valid only when mode includes markers\n",
      "                                   circle\n",
      "                                   circle-dot\n",
      "                                   diamond\n",
      "                                   square\n",
      "                                   and many more...(see plotly.validators.scatter.marker.SymbolValidator.values)\n",
      "                   size : string or int \n",
      "                           Size of marker \n",
      "                           Valid only if marker in mode\n",
      "                   barmode : string\n",
      "                           Mode when displaying bars\n",
      "                                   group\n",
      "                                   stack\n",
      "                                   overlay\n",
      "                           * Only valid when kind='bar'\n",
      "                   sortbars : bool\n",
      "                           Sort bars in descending order\n",
      "                           * Only valid when kind='bar'\n",
      "                   bargap : float\n",
      "                           Sets the gap between bars\n",
      "                                   [0,1)\n",
      "                           * Only valid when kind is 'histogram' or 'bar'\n",
      "                   bargroupgap : float\n",
      "                           Set the gap between groups\n",
      "                                   [0,1)\n",
      "                           * Only valid when kind is 'histogram' or 'bar'          \n",
      "                   bins : int or tuple \n",
      "                           if int:\n",
      "                                   Specifies the number of bins \n",
      "                           if tuple:\n",
      "                                   (start, end, size)\n",
      "                                   start : starting value\n",
      "                                   end: end value\n",
      "                                   size: bin size\n",
      "                           * Only valid when kind='histogram'\n",
      "    \n",
      "                   histnorm : string\n",
      "                                   '' (frequency)\n",
      "                                   percent\n",
      "                                   probability\n",
      "                                   density\n",
      "                                   probability density\n",
      "                           Sets the type of normalization for an histogram trace. By default\n",
      "                           the height of each bar displays the frequency of occurrence, i.e., \n",
      "                           the number of times this value was found in the\n",
      "                           corresponding bin. If set to 'percent', the height of each bar\n",
      "                           displays the percentage of total occurrences found within the\n",
      "                           corresponding bin. If set to 'probability', the height of each bar\n",
      "                           displays the probability that an event will fall into the\n",
      "                           corresponding bin. If set to 'density', the height of each bar is\n",
      "                           equal to the number of occurrences in a bin divided by the size of\n",
      "                           the bin interval such that summing the area of all bins will yield\n",
      "                           the total number of occurrences. If set to 'probability density',\n",
      "                           the height of each bar is equal to the number of probability that an\n",
      "                           event will fall into the corresponding bin divided by the size of\n",
      "                           the bin interval such that summing the area of all bins will yield\n",
      "                           1.\n",
      "                           * Only valid when kind='histogram'\n",
      "                   histfunc : string\n",
      "                                   count\n",
      "                                   sum\n",
      "                                   avg\n",
      "                                   min\n",
      "                                   max\n",
      "                      Sets the binning function used for an histogram trace. \n",
      "                           * Only valid when kind='histogram'           \n",
      "                   orientation : string\n",
      "                                   h \n",
      "                                   v\n",
      "                           Sets the orientation of the bars. If set to 'v', the length of each\n",
      "    |          bar will run vertically. If set to 'h', the length of each bar will\n",
      "    |          run horizontally\n",
      "                           * Only valid when kind is 'histogram','bar' or 'box'\n",
      "                   boxpoints : string\n",
      "                           Displays data points in a box plot\n",
      "                                   outliers\n",
      "                                   all\n",
      "                                   suspectedoutliers\n",
      "                                   False\n",
      "                   annotations : dictionary\n",
      "                           Dictionary of annotations\n",
      "                           {x_point : text}\n",
      "                   keys : list of columns\n",
      "                           List of columns to chart.\n",
      "                           Also can be used for custom sorting.\n",
      "                   bestfit : boolean or list\n",
      "                           If True then a best fit line will be generated for\n",
      "                           all columns.\n",
      "                           If list then a best fit line will be generated for\n",
      "                           each key on the list.\n",
      "                   bestfit_colors : list or dict\n",
      "                           {key:color} to specify the color for each column\n",
      "                           [colors] to use the colors in the defined order \n",
      "                   categories : string\n",
      "                           Name of the column that contains the categories\n",
      "                   x : string\n",
      "                           Name of the column that contains the x axis values              \n",
      "                   y : string\n",
      "                           Name of the column that contains the y axis values\n",
      "                   z : string\n",
      "                           Name of the column that contains the z axis values                                      \n",
      "                   text : string\n",
      "                           Name of the column that contains the text values        \n",
      "                   gridcolor : string\n",
      "                           Grid color      \n",
      "                   zerolinecolor : string\n",
      "                           Zero line color\n",
      "                   margin : dict or tuple\n",
      "                           Dictionary (l,r,b,t) or\n",
      "                           Tuple containing the left,\n",
      "                           right, bottom and top margins\n",
      "                   labels : string\n",
      "                           Name of the column that contains the labels.\n",
      "                           * Only valid when kind='pie' \n",
      "                   values : string\n",
      "                           Name of the column that contains the values.\n",
      "                           * Only valid when kind='pie'\n",
      "                   secondary_y : string or list(string)\n",
      "                           Name(s) of the column to be charted on the \n",
      "                           right hand side axis\n",
      "                   secondary_y_title : string\n",
      "                           Title of the secondary axis\n",
      "                   subplots : bool\n",
      "                           If true then each trace is placed in \n",
      "                           subplot layout\n",
      "                   shape : (rows,cols)\n",
      "                           Tuple indicating the size of rows and columns\n",
      "                           If omitted then the layout is automatically set\n",
      "                           * Only valid when subplots=True\n",
      "                   error_x : int or float or [int or float]\n",
      "                           error values for the x axis\n",
      "                   error_y : int or float or [int or float]\n",
      "                           error values for the y axis\n",
      "                   error_type : string\n",
      "                           type of error bars\n",
      "                                   'data' \n",
      "                                   'constant'\n",
      "                                   'percent'\n",
      "                                   'sqrt'\n",
      "                                   'continuous'\n",
      "                                   'continuous_percent'\n",
      "                   asFrame : bool\n",
      "                           If true then the data component of Figure will\n",
      "                           be of Pandas form (Series) otherwise they will \n",
      "                           be index values\n",
      "                   asDates : bool\n",
      "                           If true it truncates times from a DatetimeIndex\n",
      "                   asFigure : bool\n",
      "                           If True returns plotly Figure\n",
      "                   asImage : bool\n",
      "                           If True it returns an Image (png)\n",
      "                           In ONLINE mode:\n",
      "                                   Image file is saved in the working directory                            \n",
      "                                           Accepts:\n",
      "                                                   filename\n",
      "                                                   dimensions\n",
      "                                                   scale\n",
      "                                                   display_image\n",
      "                           In OFFLINE mode:\n",
      "                                   Image file is downloaded (downloads folder) and a \n",
      "                                   regular plotly chart is displayed in Jupyter\n",
      "                                           Accepts:\n",
      "                                                   filename\n",
      "                                                   dimensions\n",
      "                   dimensions : tuple(int,int)\n",
      "                           Dimensions for image / chart\n",
      "                                   (width,height)          \n",
      "                   asPlot : bool\n",
      "                           If True the chart opens in browser\n",
      "                   asUrl : bool\n",
      "                           If True the chart url/path is returned. No chart is displayed. \n",
      "                                   If Online : the URL is returned\n",
      "                                   If Offline : the local path is returned\n",
      "                   online : bool\n",
      "                           If True then the chart/image is rendered on the server \n",
      "                           even when running in offline mode. \n",
      "    \n",
      "                   Other Kwargs\n",
      "                   ============\n",
      "                   Line, Scatter\n",
      "                           connectgaps : bool\n",
      "                                   If True, empty values are connected \n",
      "                   Pie charts\n",
      "                           sort : bool\n",
      "                                   If True it sorts the labels by value\n",
      "                           pull : float [0-1]\n",
      "                                   Pulls the slices from the centre \n",
      "                           hole : float [0-1]\n",
      "                                   Sets the size of the inner hole\n",
      "                           linecolor : string\n",
      "                                   Sets the color for the contour line of the slices\n",
      "                           linewidth : string\n",
      "                                   Sets the width for the contour line of the slices       \n",
      "                           textcolor : string\n",
      "                                   Sets the color for the text in the slices\n",
      "                           textposition : string \n",
      "                                   Sets the position of the legends for each slice\n",
      "                                           outside\n",
      "                                           inner\n",
      "                           textinfo : string \n",
      "                                   Sets the information to be displayed on \n",
      "                                   the legends \n",
      "                                           label\n",
      "                                           percent\n",
      "                                           value\n",
      "                                           * or ony combination of the above using \n",
      "                                             '+' between each item\n",
      "                                             ie 'label+percent'\n",
      "    \n",
      "                   Histogram\n",
      "                           linecolor : string\n",
      "                                   specifies the line color of the histogram\n",
      "    \n",
      "                   Heatmap and Surface\n",
      "                           center_scale : float\n",
      "                                   Centers the colorscale at a specific value\n",
      "                                   Automatically sets the (zmin,zmax) values\n",
      "                           zmin : float\n",
      "                                   Defines the minimum range for the z values. \n",
      "                                   This affects the range for the colorscale\n",
      "                           zmax : float\n",
      "                                   Defines the maximum range for the z values. \n",
      "                                   This affects the range for the colorscale\n",
      "    \n",
      "                   Error Bars\n",
      "                           error_trace : string\n",
      "                                   Name of the column for which error should be \n",
      "                                   plotted. If omitted then errors apply to all \n",
      "                                   traces.\n",
      "                           error_values_minus : int or float or [int or float]\n",
      "                                   Values corresponding to the span of the error bars \n",
      "                                   below the trace coordinates\n",
      "                           error_color : string\n",
      "                                   Color for error bars\n",
      "                           error_thickness : float \n",
      "                                   Sets the line thickness of the error bars\n",
      "                           error_width :  float\n",
      "                                   Sets the width (in pixels) of the cross-bar at both \n",
      "                                   ends of the error bars\n",
      "                           error_opacity : float [0,1]\n",
      "                                   Opacity for the error bars\n",
      "    \n",
      "                   Subplots\n",
      "                           horizontal_spacing : float [0,1]\n",
      "                                   Space between subplot columns.\n",
      "                           vertical_spacing : float [0,1]\n",
      "                                   Space between subplot rows.\n",
      "                           subplot_titles : bool\n",
      "                                   If True, chart titles are plotted\n",
      "                                   at the top of each subplot\n",
      "                           shared_xaxes : bool\n",
      "                                   Assign shared x axes.\n",
      "                                   If True, subplots in the same grid column have one common\n",
      "                                   shared x-axis at the bottom of the grid.\n",
      "                           shared_yaxes : bool\n",
      "                                   Assign shared y axes.\n",
      "                                   If True, subplots in the same grid row have one common\n",
      "                                   shared y-axis on the left-hand side of the grid.\n",
      "    \n",
      "                   Shapes\n",
      "                           hline : float, list or dict\n",
      "                                   Draws a horizontal line at the \n",
      "                                   indicated y position(s)\n",
      "                                   Extra parameters can be passed in\n",
      "                                   the form of a dictionary (see shapes)\n",
      "                           vline : float, list or dict\n",
      "                                   Draws a vertical line at the \n",
      "                                   indicated x position(s)\n",
      "                                   Extra parameters can be passed in\n",
      "                                   the form of a dictionary (see shapes)\n",
      "                           hpsan : (y0,y1)\n",
      "                                   Draws a horizontal rectangle at the \n",
      "                                   indicated (y0,y1) positions.\n",
      "                                   Extra parameters can be passed in\n",
      "                                   the form of a dictionary (see shapes)\n",
      "                           vspan : (x0,x1)\n",
      "                                   Draws a vertical rectangle at the \n",
      "                                   indicated (x0,x1) positions.\n",
      "                                   Extra parameters can be passed in\n",
      "                                   the form of a dictionary (see shapes)\n",
      "                           shapes : dict or list(dict)\n",
      "                                   List of dictionaries with the \n",
      "                                   specifications of a given shape.\n",
      "                                   See help(cufflinks.tools.get_shape)\n",
      "                                   for more information\n",
      "                   \n",
      "                   Axis Ranges\n",
      "                           xrange : [lower_bound,upper_bound]\n",
      "                                   Sets the range for the x axis\n",
      "                           yrange : [lower_bound,upper_bound]\n",
      "                                   Sets the range for the y axis\n",
      "                           zrange : [lower_bound,upper_bound]\n",
      "                                   Sets the range for the z axis\n",
      "                                   \n",
      "                   Explicit Layout Updates\n",
      "                           layout_update : dict\n",
      "                                   The layout will be modified with all \n",
      "                                   the explicit values stated in the \n",
      "                                   dictionary. \n",
      "                                   It will not apply if layout is passed\n",
      "                                   as parameter.\n",
      "    \n",
      "    \n",
      "                   Range Selector\n",
      "                           rangeselector : dict\n",
      "                                   Defines a rangeselector object\n",
      "                                   see help(cf.tools.get_range_selector) for more information\n",
      "                                   Example:\n",
      "                                           {'steps':['1y','2 months','5 weeks','ytd','2mtd'],\n",
      "                                            'axis':'xaxis', 'bgcolor' : ('blue',.3),\n",
      "                                            'x': 0.2 , 'y' : 0.9}\n",
      "    \n",
      "                   Range Slider\n",
      "                           rangeslider : bool or dict\n",
      "                                   Defines if a rangeslider is displayed\n",
      "                                   If bool: \n",
      "                                           True : Makes it visible\n",
      "                                   if dict:\n",
      "                                           Rangeslider object\n",
      "                                   Example:\n",
      "                                           {'bgcolor':('blue',.3),'autorange':True}\n",
      "    \n",
      "                   Annotations\n",
      "                           fontcolor : str\n",
      "                                   Text color for annotations\n",
      "                           fontsize : int\n",
      "                                   Text size for annotations\n",
      "                           textangle : int\n",
      "                                   Text angle \n",
      "                           See https://plot.ly/python/reference/#layout-annotations \n",
      "                           for a complete list of valid parameters.\n",
      "    \n",
      "                   Exports\n",
      "                           display_image : bool\n",
      "                                   If True then the image if displayed after being saved\n",
      "                                   ** only valid if asImage=True\n",
      "                           scale : integer\n",
      "                                   Increase the resolution of the image by `scale` amount\n",
      "                                   Only valid when asImage=True\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(one_state.iplot)"
   ]
  },
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  },
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