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AFC North 632 miles 9h50m
https://www.google.com/maps/dir/Cincinnati,+Ohio/Cleveland,+Ohio/Pittsburgh,+PA/Baltimore,+Maryland/@35.264707,-75.7652801,5z/data=!4m26!4m25!1m5!1m1!1s0x884051b1de3821f9:0x69fb7e8be4c09317!2m2!1d-84.5120196!2d39.1031182!1m5!1m1!1s0x8830ef2ee3686b2d:0xed04cb55f7621842!2m2!1d-81.6943605!2d41.49932!1m5!1m1!1s0x8834f16f48068503:0x8df915a15aa21b34!2m2!1d-79.9958864!2d40.4406248!1m5!1m1!1s0x89c803aed6f483b7:0x44896a84223e758!2m2!1d-76.6121893!2d39.2903848!3e0?entry=ttu
NFC North 767 miles 11h48m
https://www.google.com/maps/dir/minneapolis/green+bay/Chicago,+Illinois/Detroit,+MI/@46.0222098,-90.2532042,6z/data=!4m26!4m25!1m5!1m1!1s0x52b333909377bbbd:0x939fc9842f7aee07!2m2!1d-93.2650108!2d44.977753!1m5!1m1!1s0x8802e2e809b380f3:0x6370045214dcf571!2m2!1d-88.0132958!2d44.5133188!1m5!1m1!1s0x880e2c3cd0f4cbed:0xafe0a6ad09c0c000!2m2!1d-87.6297982!2d41.8781136!1m5!1m1!1s0x8824ca0110cb1d75:0x5776864e35b9c4d2!2m2!1d-83.0457538!2d42.331427!3e0?entry=ttu
AFC South 1371 miles 19h 48m
https://www.google

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sample gist

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With the new release of buckaroo, df.head() is obsolete. I have worked to make Buckaroo usable as the default table visualization for pandas dataframes. It does this through sensible defaults and down sampling. The default process of investigating a new dataset with pandas and jupyter is to load a dataframe from csv, parquet, or some other data source. The next step is df.head() or df.describe(), if you just type df pandas will try to show the first 5 rows and last 5 rows, and possibly all of the columns. Pandas needs to limit the output to avoid overwhelming a notebook with text output, and causing performance issues. Soon you will find yourself looking up pd.options.display.width = 0 or pd.options.display.max_rows = 500

with pd.option_context('display.max_rows', None, 'display.max_columns', None):
 print (df)

Eventually you will want to look at a subset of rows, using slicing. Looking up sorting… How do I find the rows with the highest or lowest values in a column you could use some

paddymul

(defmacro hook-add-or-update (hook fname &rest body)
  "Macro to make defining and updating hooks much easier.
   Hook functions get an fname.
   Before defining and adding a hook to a list, macro first checks if that fname is already defined, if so, the old version is removed from hook

  used as follows
  (hook-add-or-update
     shell-mode-hook fourth-shell-hook
     (message \"macro fourth rev 2\"))"
  

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"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
var FlatBush = require("flatbush");
var bbox_1 = require("./bbox");
var SpatialIndex = /** @class */ (function () {
    function SpatialIndex(points) {
        this.points = points;
        this.index = null;
        if (points.length > 0) {
            this.index = new FlatBush(points.length);

paddymul

import matplotlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons

class PlotController(object):
    def __init__(self):
        self.figs = []