plot part function

README.md

@@ -34,7 +34,7 @@ You can contact me directly via GitHub or via e-mail: miguigonn@gmail.com
 I have included several jupyter notebooks within 'example' folder in order to get you started with the code.
 
 ## Licence
-This project is licensed under the terms of the 'NInguna por el momento' license
+This project is licensed under the terms of the GNU General Public License v3.0
 
 ## How to cite dinsar
 

dinsar/parts.py

@@ -797,9 +797,11 @@ def plot(self, points='all', savefig=False, **kwargs):
 
         name = f"{self._sensor_name}".capitalize()
 
-        points = self.elementos if points.lower() == 'all' else points
+        points = self.elementos if isinstance(points, str) \
+                                and points.lower() == 'all' else points
 
-        df = self.take(points).pivot(index='Fechas', columns='Nombre', values='Valores')
+        df = self.take(points).pivot(index='Fechas', columns='Nombre',
+                                    values='Valores')
 
         own_kwargs = dict(legend=True, title=name)
         kwargs = _update_kwargs(own_kwargs, kwargs)

examples/Studying an Aggregate.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c397ae20",
+   "id": "6b01fbef",
    "metadata": {},
    "source": [
     "---------------------------------------------------------------------------------------------------------------------------\n",
@@ -25,7 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "2afbeed2",
+   "id": "2013cf0e",
    "metadata": {},
    "outputs": [
     {
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1e73f466",
+   "id": "714d2b89",
    "metadata": {},
    "source": [
     "## Sensors linkage\n",
@@ -68,7 +68,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "d8bec5b3",
+   "id": "29acfa41",
    "metadata": {},
    "outputs": [
     {
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "62551b11",
+   "id": "c43ebcd6",
    "metadata": {},
    "source": [
     "Linked **time series** of piezometry, precipitation or other databases can be accessed through the `piezos`, `station` and `other_sensors` methods, respectively.\n",
@@ -109,7 +109,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "3d3262a3",
+   "id": "008b88c6",
    "metadata": {
     "scrolled": false
    },
@@ -144,7 +144,7 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "e70bf034",
+   "id": "1e1c09ae",
    "metadata": {
     "scrolled": true
    },
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4ab6347e",
+   "id": "679ad2e9",
    "metadata": {},
    "source": [
     "## Other `Aggregate` object methods\n",
@@ -212,7 +212,7 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "f54972b9",
+   "id": "bdc3f145",
    "metadata": {},
    "outputs": [
     {
@@ -268,7 +268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "818f9203",
+   "id": "f319da34",
    "metadata": {},
    "source": [
     "#### **2.** Analysis of the common periodicities between the average deformation of aggregate 2 (for dataset 'Asc') and the piezometer linked to it, for a monthly sampling frequency."
@@ -277,7 +277,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "19a9fa12",
+   "id": "e1200c6d",
    "metadata": {},
    "outputs": [
     {
@@ -311,7 +311,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c802d008",
+   "id": "d072849a",
    "metadata": {},
    "source": [
     "This analysis returns a `Wavelet` object, which contains three useful methods:\n",