diff --git a/README.md b/README.md
index 2b0a601..6d2daac 100644
--- a/README.md
+++ b/README.md
@@ -5,11 +5,6 @@ It is a fork of *truths* by [tr3buchet](https://github.com/tr3buchet/truths).
![Multiple outputs](https://raw.githubusercontent.com/chicolucio/truth-table-generator/master/images/ttg_small.png)
-[![Build Status](https://travis-ci.com/chicolucio/truth-table-generator.svg?branch=master)](https://travis-ci.com/chicolucio/truth-table-generator)
-[![Updates](https://pyup.io/repos/github/chicolucio/truth-table-generator/shield.svg)](https://pyup.io/repos/github/chicolucio/truth-table-generator/)
-[![Python 3](https://pyup.io/repos/github/chicolucio/truth-table-generator/python-3-shield.svg)](https://pyup.io/repos/github/chicolucio/truth-table-generator/)
-[![codecov](https://codecov.io/gh/chicolucio/truth-table-generator/branch/master/graph/badge.svg)](https://codecov.io/gh/chicolucio/truth-table-generator)
-
It merges some of the pull requests in the original and other external helpers.
The following are some of the changes and enhancements from the original:
@@ -208,14 +203,11 @@ print(table.as_tabulate(index=False, table_format='latex'))
### Formatting options with Pandas
With an IPython terminal or a Jupyter Notebook, it is possible to render a Pandas
-DataFrame with `table.as_pandas()`:
+DataFrame with `table.as_pandas`:
![pandas01](https://raw.githubusercontent.com/chicolucio/truth-table-generator/master/images/pandas01.png)
-And this output can be modified with Pandas Styling
-
-![pandas02](https://raw.githubusercontent.com/chicolucio/truth-table-generator/master/images/pandas02.png)
-
+And this output can be modified with Pandas Styling.
More advanced modifications can be done with functions that apply styling changes.
See the [styles tutorial notebook](styling_tutorial.ipynb) for examples.
See the image below for a fancy example with two lines and two columns
@@ -248,7 +240,7 @@ table_val.valuation()
```
'Tautology'
```
-If a integer is used as argument, the function classifies the correspondent
+If an integer is used as argument, the function classifies the correspondent
column:
```python
table_val.valuation(3)
diff --git a/images/pandas01.png b/images/pandas01.png
index 55d7b0a..61fc75e 100644
Binary files a/images/pandas01.png and b/images/pandas01.png differ
diff --git a/images/pandas02.png b/images/pandas02.png
deleted file mode 100644
index d3467ec..0000000
Binary files a/images/pandas02.png and /dev/null differ
diff --git a/styling_tutorial.ipynb b/styling_tutorial.ipynb
index 0251faf..ff809e8 100644
--- a/styling_tutorial.ipynb
+++ b/styling_tutorial.ipynb
@@ -5,13 +5,13 @@
"execution_count": 1,
"metadata": {
"ExecuteTime": {
- "end_time": "2019-10-19T22:56:14.903240Z",
- "start_time": "2019-10-19T22:56:14.274689Z"
+ "end_time": "2020-05-04T14:49:13.079174Z",
+ "start_time": "2020-05-04T14:49:12.923639Z"
}
},
"outputs": [],
"source": [
- "import ttg"
+ "import ttg\n"
]
},
{
@@ -26,8 +26,8 @@
"execution_count": 2,
"metadata": {
"ExecuteTime": {
- "end_time": "2019-10-19T22:56:18.784843Z",
- "start_time": "2019-10-19T22:56:18.780314Z"
+ "end_time": "2020-05-04T14:49:14.377957Z",
+ "start_time": "2020-05-04T14:49:14.361927Z"
}
},
"outputs": [],
@@ -42,7 +42,7 @@
" \"\"\"Applies style to logical expression (logic) pandas truth table. \n",
" Text: center. Table: no index column. Highlight yellow rows and columns in \n",
" lists (hl_rows and hl_cols). At the end applies color_false_red function\"\"\"\n",
- " d = logic.as_pandas().style.set_table_styles([{\n",
+ " d = logic.as_pandas.style.set_table_styles([{\n",
" 'selector':\n",
" 'th',\n",
" 'props': [('font-size', '12pt')]\n",
@@ -55,9 +55,9 @@
" axis=1).apply(lambda x: [\n",
" 'background: lightyellow' if x.name in hl_cols else '' for i in x\n",
" ],\n",
- " axis=0).hide_index()\n",
+ " axis=0).hide(axis=\"index\")\n",
" d = d.applymap(color_false_red)\n",
- " return d"
+ " return d\n"
]
},
{
@@ -65,8 +65,8 @@
"execution_count": 3,
"metadata": {
"ExecuteTime": {
- "end_time": "2019-10-19T22:56:21.878556Z",
- "start_time": "2019-10-19T22:56:21.876005Z"
+ "end_time": "2020-05-04T14:49:15.506316Z",
+ "start_time": "2020-05-04T14:49:15.503400Z"
}
},
"outputs": [],
@@ -74,7 +74,7 @@
"# creating a table\n",
"table = ttg.Truths(['p', 'q'],\n",
" ['p => q', 'q => p', '(p => q) and (q => p)', 'p = q'],\n",
- " ints=False)"
+ " ints=False)\n"
]
},
{
@@ -82,198 +82,78 @@
"execution_count": 4,
"metadata": {
"ExecuteTime": {
- "end_time": "2019-10-19T22:56:23.792037Z",
- "start_time": "2019-10-19T22:56:23.353822Z"
+ "end_time": "2020-05-04T14:49:17.208345Z",
+ "start_time": "2020-05-04T14:49:16.446482Z"
}
},
"outputs": [
{
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+ " q | \n",
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+ " q => p | \n",
+ " (p => q) and (q => p) | \n",
+ " p = q | \n",
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"execution_count": 4,
@@ -283,7 +163,7 @@
],
"source": [
"# applying style. Without lists of rows and columns to highlight.\n",
- "df_style(table)"
+ "df_style(table)\n"
]
},
{
@@ -291,198 +171,90 @@
"execution_count": 5,
"metadata": {
"ExecuteTime": {
- "end_time": "2019-10-19T22:56:25.237456Z",
- "start_time": "2019-10-19T22:56:25.196951Z"
+ "end_time": "2020-05-04T14:49:19.598051Z",
+ "start_time": "2020-05-04T14:49:19.552370Z"
}
},
"outputs": [
{
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+ " p = q | \n",
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"text/plain": [
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+ ""
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"execution_count": 5,
@@ -492,7 +264,7 @@
],
"source": [
"# highlighting rows 2 and 4\n",
- "df_style(table, hl_rows=[2, 4])"
+ "df_style(table, hl_rows=[2, 4])\n"
]
},
{
@@ -500,198 +272,90 @@
"execution_count": 6,
"metadata": {
"ExecuteTime": {
- "end_time": "2019-10-19T22:56:27.571749Z",
- "start_time": "2019-10-19T22:56:27.532171Z"
+ "end_time": "2020-05-04T14:49:22.703718Z",
+ "start_time": "2020-05-04T14:49:22.657043Z"
}
},
"outputs": [
{
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@@ -701,7 +365,7 @@
],
"source": [
"# highlighting columns named 'p' and 'p = q'\n",
- "df_style(table, hl_cols=['p', 'p = q'])"
+ "df_style(table, hl_cols=['p', 'p = q'])\n"
]
},
{
@@ -709,198 +373,104 @@
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- "end_time": "2019-10-19T22:56:28.932431Z",
- "start_time": "2019-10-19T22:56:28.891944Z"
+ "end_time": "2020-05-04T14:49:23.627714Z",
+ "start_time": "2020-05-04T14:49:23.569356Z"
}
},
"outputs": [
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@@ -910,7 +480,7 @@
],
"source": [
"# highlighting rowns and columns\n",
- "df_style(table, hl_rows = [2, 4], hl_cols=['p', 'p = q'])"
+ "df_style(table, hl_rows = [2, 4], hl_cols=['p', 'p = q'])\n"
]
},
{
@@ -924,9 +494,9 @@
"metadata": {
"hide_input": false,
"kernelspec": {
- "display_name": "Python [conda env:ttg]",
+ "display_name": "ttg",
"language": "python",
- "name": "conda-env-ttg-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -938,7 +508,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.11.1"
},
"toc": {
"base_numbering": 1,