IAMconsortium · danielhuppmann · Feb 27, 2023 · Feb 25, 2023 · Feb 25, 2023 · Feb 27, 2023
diff --git a/AUTHORS.rst b/AUTHORS.rst
@@ -21,3 +21,4 @@ The following persons contributed to the development of the |pyam| framework:
 - Florian Maczek `@macflo8 <https://github.com/macflo8>`_
 - Laura Wienpahl `@LauWien <https://github.com/LauWien>`_
 - Philip Hackstock `@phackstock <https://github.com/phackstock>`_
+- Pietro Monticone `@pitmonticone <https://github.com/pitmonticone>`_
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
@@ -3,6 +3,7 @@
 - [#727](https://github.com/IAMconsortium/pyam/pull/730) Refactor initialization code
 - [#729](https://github.com/IAMconsortium/pyam/pull/729) Improve performance at initialization
 - [#723](https://github.com/IAMconsortium/pyam/pull/723) Ensure correct order of `time` attribute
+- [#732](https://github.com/IAMconsortium/pyam/pull/732) Fix a few typos in tutorials
 
 # Release v1.7.0
 

diff --git a/doc/source/R_tutorials/pyam_R_tutorial.ipynb b/doc/source/R_tutorials/pyam_R_tutorial.ipynb
@@ -47,7 +47,7 @@
     "This tutorial is an illustration on how to get started,\n",
     "not a full-fledged documentation of a **pyam-R** interface...  \n",
     "The integration between Python and R using **reticulate** is a bit fickle -\n",
-    "having multiple Python installations/enviroments\n",
+    "having multiple Python installations/environments\n",
     "or outdated versions of **reticulate**/**pandas** can cause issues.  \n",
     "Please [read the docs](https://rstudio.github.io/reticulate/) if you experience any problems!\n",
     "\n",

diff --git a/doc/source/tutorials/GAMS_to_pyam.ipynb b/doc/source/tutorials/GAMS_to_pyam.ipynb
@@ -20,7 +20,7 @@
     "1. Manually install the GAMS API,\n",
     "   follow one of the options in [this description](https://www.gams.com/latest/docs/API_PY_TUTORIAL.html).\n",
     "   \n",
-    "   > **TL;DR**: seach for the folder \"api_38\" in the GAMS installation folder on your machine\n",
+    "   > **TL;DR**: search for the folder \"api_38\" in the GAMS installation folder on your machine\n",
     "   > and run\n",
     "   > ```\n",
     "   > python setup.py install\n",
@@ -468,7 +468,7 @@
     "and we use the demand center as the region.\n",
     "\n",
     "This is implemented by adding a column 'type' to the shipment-dataframe\n",
-    "and appending a new object to the results **IamDataFrame** concatening the 'type' column and the orgin column 'i'."
+    "and appending a new object to the results **IamDataFrame** concatening the 'type' column and the origin column 'i'."
    ]
   },
   {

diff --git a/doc/source/tutorials/aggregating_downscaling_consistency.ipynb b/doc/source/tutorials/aggregating_downscaling_consistency.ipynb
@@ -269,7 +269,7 @@
     "The following cells show:\n",
     "\n",
     "0. The carbon price data across the regions\n",
-    "1. A (failing) validation that the regional aggretion (without weights) matches the reported prices at the `World` level\n",
+    "1. A (failing) validation that the regional aggregation (without weights) matches the reported prices at the `World` level\n",
     "2. The emissions-weighted average of carbon prices returned as a new **IamDataFrame**"
    ]
   },

diff --git a/doc/source/tutorials/algebraic_operations.ipynb b/doc/source/tutorials/algebraic_operations.ipynb
@@ -317,7 +317,7 @@
    "source": [
     "## 5. Working on other dimensions of timeseries data\n",
     "\n",
-    "By default, algebraic operations in **pyam** will work on the *variable* dimenion.\n",
+    "By default, algebraic operations in **pyam** will work on the *variable* dimension.\n",
     "But you can pass an ``axis`` keyword argument to, for example, perform computations\n",
     "between scenarios or regions.\n",
     "\n",

diff --git a/doc/source/tutorials/iiasa_dbs.ipynb b/doc/source/tutorials/iiasa_dbs.ipynb
@@ -62,7 +62,7 @@
    "source": [
     "In this example, we will be retrieving data from the *IAMC 1.5°C Scenario Explorer hosted by IIASA*\n",
     "([link](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer)),\n",
-    "which provides the quantiative scenario ensemble underpinning\n",
+    "which provides the quantitative scenario ensemble underpinning\n",
     "the *IPCC Special Report on Global Warming of 1.5C* (SR15).\n",
     "\n",
     "This can be done either via the constructor:\n",

diff --git a/doc/source/tutorials/ipcc_colors.ipynb b/doc/source/tutorials/ipcc_colors.ipynb
@@ -23,7 +23,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The full list of the IPCC color palette colors avaialable in **pyam** can be retrieved by the following code."
+    "The full list of the IPCC color palette colors available in **pyam** can be retrieved by the following code."
    ]
   },
   {

diff --git a/doc/source/tutorials/legends.ipynb b/doc/source/tutorials/legends.ipynb
@@ -55,7 +55,7 @@
    "metadata": {},
    "source": [
     "By using the `color` argument, we tell the **pyam** plotting library to apply colours by model family.\n",
-    "This reduces the number of legend entries (from 38 model-scenario combinations to 8 model families), and the legend will be shown by default with **matplotib** standard settings."
+    "This reduces the number of legend entries (from 38 model-scenario combinations to 8 model families), and the legend will be shown by default with **matplotlib** standard settings."
    ]
   },
   {

diff --git a/doc/source/tutorials/pyam_first_steps.ipynb b/doc/source/tutorials/pyam_first_steps.ipynb
@@ -49,7 +49,7 @@
     "compiled for the IPCC's *Special Report on Global Warming of 1.5°C* ([SR15](http://ipcc.ch/sr15/)).\n",
     "The complete scenario ensemble data is publicly available from the [IAMC 1.5°C Scenario Explorer and Data hosted by IIASA](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer).  \n",
     "\n",
-    "Please read the [License](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/license) page of the IAMC 1.5°C Scenario Explorer before using the full scenario data for scientific analyis or other work.\n",
+    "Please read the [License](https://data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/license) page of the IAMC 1.5°C Scenario Explorer before using the full scenario data for scientific analysis or other work.\n",
     "\n",
     "<img style=\"float: right; margin: 10px;\" src=\"_static/cdlinks_logo.png\">\n",
     "\n",
@@ -265,7 +265,7 @@
     "> Filtering for ``Primary Energy|*`` will return all sub-categories of \n",
     "> primary energy (and only the sub-categories)\n",
     "\n",
-    "In additon, variables can be filtered by their **level**,\n",
+    "In addition, variables can be filtered by their **level**,\n",
     "i.e., the \"depth\" of the variable in a hierarchical reading of the string separated by `|` (*pipe*, not L or i).\n",
     "That is, the variable ``Primary Energy`` has level 0, while ``Primary Energy|Fossil`` has level 1.\n",
     "\n",
@@ -578,7 +578,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The next two cells perform validation to exclude all scenarios that have unplausibly low emissions in 2020 (i.e., unrealistic near-term behaviour) as well as those that do not reduce emissions over the century (i.e., exceed a value of 45000 MT CO2 in any year)."
+    "The next two cells perform validation to exclude all scenarios that have implausibly low emissions in 2020 (i.e., unrealistic near-term behaviour) as well as those that do not reduce emissions over the century (i.e., exceed a value of 45000 MT CO2 in any year)."
    ]
   },
   {
@@ -761,7 +761,7 @@
    "source": [
     "### Apply categories to timeseries analysis\n",
     "\n",
-    "Now, we again display the median global temperature increase for all scenarios, but we use the colouring by category to illustrate the common charateristics across scenarios."
+    "Now, we again display the median global temperature increase for all scenarios, but we use the colouring by category to illustrate the common characteristics across scenarios."
    ]
   },
   {

diff --git a/doc/source/tutorials/unit_conversion.ipynb b/doc/source/tutorials/unit_conversion.ipynb
@@ -110,7 +110,7 @@
     "and their abbreviations (`P`, `G`, `M`, `m`, ...)\n",
     "as well as common units (centimeter, inch, kilometer, mile).\n",
     "It also handles combined units like exajoule per year with various spellings:\n",
-    "`PWh/yr`, `PWh / yr` and `petawatthour / year` will all be treated as synomyms by the conversion.\n",
+    "`PWh/yr`, `PWh / yr` and `petawatthour / year` will all be treated as synonyms by the conversion.\n",
     "The only difference is the format in the resulting **IamDataFrame**.\n",
     "\n",
     "[Read the docs](https://pint.readthedocs.io) for more information!"