pandas_or_condition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame({'a': range(10), 'b': range(20,10,-1)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "   a   b\n",
       "0  0  20\n",
       "1  1  19\n",
       "2  2  18\n",
       "3  3  17\n",
       "4  4  16\n",
       "5  5  15\n",
       "6  6  14\n",
       "7  7  13\n",
       "8  8  12\n",
       "9  9  11"
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     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "df"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df[(df.a % 2 == 0) & (df.b %2 == 0)]"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame({'a' : range(100), 'b' : range(100,0,-1)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
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       "      <td>5</td>\n",
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      ],
      "text/plain": [
       "     a    b\n",
       "0    0  100\n",
       "5    5   95\n",
       "10  10   90\n",
       "15  15   85\n",
       "20  20   80\n",
       "25  25   75\n",
       "30  30   70\n",
       "35  35   65\n",
       "40  40   60\n",
       "45  45   55\n",
       "50  50   50\n",
       "55  55   45\n",
       "60  60   40\n",
       "65  65   35\n",
       "70  70   30\n",
       "75  75   25\n",
       "80  80   20\n",
       "85  85   15\n",
       "90  90   10\n",
       "95  95    5"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.loc[(df1.iloc[:,0] % 5 == 0) & (df1.iloc[:,1] % 5 == 0),:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     True\n",
       "1    False\n",
       "2    False\n",
       "3    False\n",
       "4    False\n",
       "5     True\n",
       "6    False\n",
       "7    False\n",
       "8    False\n",
       "9    False\n",
       "Name: b, dtype: bool"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:,1] % 5 == 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
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       "      <th>88</th>\n",
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      "text/plain": [
       "     a   b\n",
       "4    4  96\n",
       "10  10  90\n",
       "16  16  84\n",
       "22  22  78\n",
       "28  28  72\n",
       "34  34  66\n",
       "40  40  60\n",
       "46  46  54\n",
       "52  52  48\n",
       "58  58  42\n",
       "64  64  36\n",
       "70  70  30\n",
       "76  76  24\n",
       "82  82  18\n",
       "88  88  12\n",
       "94  94   6"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.loc[(df1.loc[:,'a'] % 2 == 0) & \n",
    "       (df1.loc[:,'b'] % 3 == 0) , :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
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   "cell_type": "code",
   "execution_count": null,
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