analisis_temporal.ipynb

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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import plotly.graph_objects as go\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Carga de datos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "d2024 = pd.read_csv('data\\produccin-de-pozos-de-gas-y-petrleo-2024.csv', low_memory=False)\n",
    "d2023 = pd.read_csv('data\\produccin-de-pozos-de-gas-y-petrleo-2023.csv', low_memory=False)\n",
    "d2022 = pd.read_csv('data\\produccin-de-pozos-de-gas-y-petrleo-2022.csv', low_memory=False)\n",
    "d2021 = pd.read_csv('data\\produccin-de-pozos-de-gas-y-petrleo-2021.csv', low_memory=False)\n",
    "d2020 = pd.read_csv('data\\produccin-de-pozos-de-gas-y-petrleo-2020.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['idempresa', 'anio', 'mes', 'idpozo', 'prod_pet', 'prod_gas',\n",
       "       'prod_agua', 'iny_agua', 'iny_gas', 'iny_co2', 'iny_otro', 'tef',\n",
       "       'vida_util', 'tipoextraccion', 'tipoestado', 'tipopozo',\n",
       "       'observaciones', 'fechaingreso', 'rectificado', 'habilitado',\n",
       "       'idusuario', 'empresa', 'sigla', 'formprod', 'profundidad', 'formacion',\n",
       "       'idareapermisoconcesion', 'areapermisoconcesion', 'idareayacimiento',\n",
       "       'areayacimiento', 'cuenca', 'provincia', 'tipo_de_recurso', 'proyecto',\n",
       "       'clasificacion', 'subclasificacion', 'sub_tipo_recurso', 'fecha_data'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2023.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tomamos las columnas que nos interesan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "d24 = d2024[['fecha_data', 'prod_pet', 'prod_gas', 'prod_agua', 'tipoestado','empresa','cuenca','provincia']]\n",
    "d23 = d2023[['fecha_data', 'prod_pet', 'prod_gas', 'prod_agua', 'tipoestado','empresa','cuenca','provincia']]\n",
    "d22 = d2022[['fecha_data', 'prod_pet', 'prod_gas', 'prod_agua', 'tipoestado','empresa','cuenca','provincia']]\n",
    "d21 = d2021[['fecha_data', 'prod_pet', 'prod_gas', 'prod_agua', 'tipoestado','empresa','cuenca','provincia']]\n",
    "d20 = d2020[['fecha_data', 'prod_pet', 'prod_gas', 'prod_agua', 'tipoestado','empresa','cuenca','provincia']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agrupamos y filtramos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Agrupamos\n",
    "all_data = pd.concat([d20,d21,d22,d23,d24], ignore_index=True)\n",
    "# Filtramos todo pozo no activo\n",
    "all_data = all_data[all_data['tipoestado']=='Extracción Efectiva']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# type Datatime\n",
    "all_data['fecha_data'] = pd.to_datetime(all_data['fecha_data'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = all_data[['fecha_data','prod_pet','prod_gas','prod_agua']]\n",
    "data.set_index('fecha_data', inplace=True)\n",
    "data_trimestral = data.resample('QE').sum().round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evolución trimestral producción desde 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
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          },
          "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": {
         "text": "Evolución de la Producción por Trimestre"
        },
        "xaxis": {
         "title": {
          "text": "Fecha"
         }
        },
        "yaxis": {
         "title": {
          "text": "Evolucion producción"
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       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "# Graficar con Plotly\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=data_trimestral.index,\n",
    "    y=data_trimestral['prod_pet'],\n",
    "    mode='lines+markers',\n",
    "    name='Producción de Petróleo'\n",
    "))\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=data_trimestral.index,\n",
    "    y=data_trimestral['prod_gas'],\n",
    "    mode='lines+markers',\n",
    "    name='Producción de Gas'\n",
    "))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción por Trimestre',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Evolucion producción'\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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           "bgcolor": "#E5ECF6",
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          },
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           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
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           "bgcolor": "#E5ECF6",
           "caxis": {
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            "linecolor": "white",
            "ticks": ""
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          },
          "title": {
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          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
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           "zerolinewidth": 2
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         "text": "Evolución de la Producción de Agua por Trimestre"
        },
        "xaxis": {
         "title": {
          "text": "Fecha"
         }
        },
        "yaxis": {
         "title": {
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        }
       }
      }
     },
     "metadata": {},
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    }
   ],
   "source": [
    "# Separo la produccion de agua por que aplana y genera demaciado ruido en la grafica\n",
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=data_trimestral.index,\n",
    "    y=data_trimestral['prod_agua'],\n",
    "    mode='lines+markers',\n",
    "    name='Producción de agua'\n",
    "))\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Agua por Trimestre',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Evolucion producción Agua'\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evolución mensual desde 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "mensual = all_data[['fecha_data','prod_pet','prod_gas','prod_agua']]\n",
    "mensual = mensual[(mensual['fecha_data']>='2020-01-31')&(mensual['fecha_data']<='2024-03-31')]\n",
    "mensual.set_index('fecha_data', inplace=True)\n",
    "data_por_mes = mensual.resample('ME').sum().round(2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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            "ticks": ""
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           "baxis": {
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            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
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          "title": {
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        },
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        }
       }
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     },
     "metadata": {},
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   ],
   "source": [
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=data_por_mes.index,\n",
    "    y=data_por_mes['prod_pet'],\n",
    "    mode='lines+markers',\n",
    "    name='Producción Petróleo'\n",
    "))\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=data_por_mes.index,\n",
    "    y=data_por_mes['prod_gas'],\n",
    "    mode='lines+markers',\n",
    "    name='Producción Gas'\n",
    "))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de petróleo y gas por mes de 2020',\n",
    "    xaxis_title='Fecha',\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
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         "text": "Evolución de la Producción de agua por mes desde el 2020"
        },
        "xaxis": {
         "title": {
          "text": "Fecha"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = go.Figure()\n",
    "\n",
    "fig.add_trace(go.Scatter(\n",
    "    x=data_por_mes.index,\n",
    "    y=data_por_mes['prod_agua'],\n",
    "    mode='lines+markers',\n",
    "    name='Producción Agua'\n",
    "))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de agua por mes desde el 2020',\n",
    "    xaxis_title='Fecha',\n",
    ")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Top producción por empresas desde 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# agrupamos empresa y fecha\n",
    "gr_emp = all_data.groupby(['empresa', 'fecha_data']).sum().reset_index()\n",
    "# agrupamos empresas con sus produccion\n",
    "total_prod = gr_emp.groupby('empresa')['prod_pet'].sum().reset_index()\n",
    "# Ordenamos\n",
    "sort_prod = total_prod.sort_values(by='prod_pet', ascending=False)\n",
    "# Top 5\n",
    "top_emp = sort_prod.head(5)['empresa']\n",
    "# Filtro del top\n",
    "top_empresas = gr_emp[gr_emp['empresa'].isin(top_emp)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top empresas producción de Petróleo desde 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
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    "fig = go.Figure()\n",
    "\n",
    "for empresa in top_emp:\n",
    "    empresa_data = top_empresas[top_empresas['empresa']==empresa]\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=empresa_data['fecha_data'],\n",
    "        y=empresa_data['prod_pet'],\n",
    "        mode='lines+markers',\n",
    "        name=empresa\n",
    "    ))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Petróleo de las Top Empresas',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Producción de Petróleo'\n",
    ")\n",
    "\n",
    "fig.show()"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top empresas producción Gas desde 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# agrupamos empresas con sus produccion\n",
    "total_prod = gr_emp.groupby('empresa')['prod_gas'].sum().reset_index()\n",
    "# Ordenamos\n",
    "sort_prod = total_prod.sort_values(by='prod_gas', ascending=False)\n",
    "# Top 5\n",
    "top_emp = sort_prod.head(5)['empresa']\n",
    "# Filtro del top\n",
    "top_empresas = gr_emp[gr_emp['empresa'].isin(top_emp)]"
   ]
  },
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   "execution_count": 26,
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    "fig = go.Figure()\n",
    "\n",
    "for empresa in top_emp:\n",
    "    empresa_data = top_empresas[top_empresas['empresa']==empresa]\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=empresa_data['fecha_data'],\n",
    "        y=empresa_data['prod_gas'],\n",
    "        mode='lines+markers',\n",
    "        name=empresa\n",
    "    ))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Gas de las Top Empresas',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Producción de Gas'\n",
    ")\n",
    "\n",
    "fig.show()"
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   "metadata": {},
   "source": [
    "Top empresas producción de agua desde 2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# agrupamos empresas con sus produccion\n",
    "total_prod = gr_emp.groupby('empresa')['prod_agua'].sum().reset_index()\n",
    "# Ordenamos\n",
    "sort_prod = total_prod.sort_values(by='prod_agua', ascending=False)\n",
    "# Top 5\n",
    "top_emp = sort_prod.head(5)['empresa']\n",
    "# Filtro del top\n",
    "top_empresas = gr_emp[gr_emp['empresa'].isin(top_emp)]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 28,
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        },
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    "fig = go.Figure()\n",
    "\n",
    "for empresa in top_emp:\n",
    "    empresa_data = top_empresas[top_empresas['empresa']==empresa]\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=empresa_data['fecha_data'],\n",
    "        y=empresa_data['prod_agua'],\n",
    "        mode='lines+markers',\n",
    "        name=empresa\n",
    "    ))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Agua de las Top Empresas',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Producción de Agua'\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Producción por Cuenca desde el 2020"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Producción de petróleo por cuenca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# agrupamos cuencas y fechas\n",
    "gr_cuenca = all_data.groupby(['cuenca', 'fecha_data']).sum().reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
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   "source": [
    "# Graficar con Plotly\n",
    "fig = go.Figure()\n",
    "\n",
    "# Iterar sobre las cuencas y graficar sus datos\n",
    "for cuenca in gr_cuenca['cuenca'].unique():\n",
    "    cuenca_data = gr_cuenca[gr_cuenca['cuenca'] == cuenca]\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=cuenca_data['fecha_data'],\n",
    "        y=cuenca_data['prod_pet'],\n",
    "        mode='lines+markers',\n",
    "        name=cuenca\n",
    "    ))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Petróleo por Cuenca',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Producción de Petróleo'\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Producción de gas por cuenca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
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   "source": [
    "fig = go.Figure()\n",
    "\n",
    "for cuenca in gr_cuenca['cuenca'].unique():\n",
    "    cuenca_data = gr_cuenca[gr_cuenca['cuenca'] == cuenca]\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=cuenca_data['fecha_data'],\n",
    "        y=cuenca_data['prod_gas'],\n",
    "        mode='lines+markers',\n",
    "        name=cuenca\n",
    "    ))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Gas por Cuenca',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Producción de Gas'\n",
    ")\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Producción de agua por cuenca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
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    "fig = go.Figure()\n",
    "\n",
    "for cuenca in gr_cuenca['cuenca'].unique():\n",
    "    cuenca_data = gr_cuenca[gr_cuenca['cuenca'] == cuenca]\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x=cuenca_data['fecha_data'],\n",
    "        y=cuenca_data['prod_agua'],\n",
    "        mode='lines+markers',\n",
    "        name=cuenca\n",
    "    ))\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Evolución de la Producción de Agua por Cuenca',\n",
    "    xaxis_title='Fecha',\n",
    "    yaxis_title='Producción de Agua'\n",
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    "fig.show()"
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}