{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "Untitled3.ipynb", "provenance": [], "mount_file_id": "104u436XA7jY5DcWYmOxZZEkt-hX6Hfgy", "authorship_tag": "ABX9TyNXGORo4vKEJ6msuvwMoLKI", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "" ] }, { "cell_type": "code", "metadata": { "id": "r1XzenNWF2fT" }, "source": [ "import pandas as pd\r\n", "import numpy as np\r\n", "import matplotlib.pyplot as plt\r\n", "import os\r\n", "from tqdm import tqdm\r\n", "import shutil\r\n", "import plotly.express as px\r\n", "import plotly.graph_objects as go\r\n", "plt.rcParams['figure.figsize'] =10, 10" ], "execution_count": 1, "outputs": [] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "s-ZDeL9aI9Vg", "outputId": "4868c17c-36cf-4e66-af0f-9148b3a62bef" }, "source": [ "#download data\r\n", "!wget https://epic.gs.washington.edu/csv/CD20080412_ama-1_3A3_5.csv" ], "execution_count": 2, "outputs": [ { "output_type": "stream", "text": [ "--2021-03-13 06:59:57-- https://epic.gs.washington.edu/csv/CD20080412_ama-1_3A3_5.csv\n", "Resolving epic.gs.washington.edu (epic.gs.washington.edu)... 128.208.9.147\n", "Connecting to epic.gs.washington.edu (epic.gs.washington.edu)|128.208.9.147|:443... connected.\n", "HTTP request sent, awaiting response... 200 OK\n", "Length: 1288229 (1.2M) [text/csv]\n", "Saving to: ‘CD20080412_ama-1_3A3_5.csv’\n", "\n", "CD20080412_ama-1_3A 100%[===================>] 1.23M 583KB/s in 2.2s \n", "\n", "2021-03-13 07:00:00 (583 KB/s) - ‘CD20080412_ama-1_3A3_5.csv’ saved [1288229/1288229]\n", "\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 218 }, "id": "InAJTrGSF3Rc", "outputId": "51ccf2ce-fef2-4e03-88f4-c9a1e712de95" }, "source": [ "df = pd.read_csv(\"CD20080412_ama-1_3A3_5.csv\")\r\n", "df.tail()" ], "execution_count": 3, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
\n", " | cellTime | \n", "cell | \n", "time | \n", "none | \n", "global | \n", "local | \n", "blot | \n", "cross | \n", "z | \n", "x | \n", "y | \n", "size | \n", "gweight | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17475 | \n", "Z3:151 | \n", "Z3 | \n", "151 | \n", "27714 | \n", "2714 | \n", "-1267 | \n", "-1042 | \n", "564 | \n", "10.0 | \n", "436 | \n", "221 | \n", "36 | \n", "563990 | \n", "
17476 | \n", "Z3:152 | \n", "Z3 | \n", "152 | \n", "28819 | \n", "3819 | \n", "73 | \n", "286 | \n", "1722 | \n", "10.0 | \n", "438 | \n", "220 | \n", "36 | \n", "564109 | \n", "
17477 | \n", "Z3:153 | \n", "Z3 | \n", "153 | \n", "27941 | \n", "2941 | \n", "-1034 | \n", "-871 | \n", "1245 | \n", "10.0 | \n", "435 | \n", "219 | \n", "36 | \n", "562985 | \n", "
17478 | \n", "Z3:154 | \n", "Z3 | \n", "154 | \n", "30108 | \n", "5108 | \n", "1342 | \n", "1427 | \n", "2045 | \n", "10.0 | \n", "437 | \n", "218 | \n", "36 | \n", "565055 | \n", "
17479 | \n", "Z3:155 | \n", "Z3 | \n", "155 | \n", "29000 | \n", "4000 | \n", "-602 | \n", "-432 | \n", "1192 | \n", "9.1 | \n", "436 | \n", "221 | \n", "36 | \n", "549066 | \n", "