From d043a41bc7e2e0ecafc94913653e7400e53c0091 Mon Sep 17 00:00:00 2001
From: Nil-Andreu <nilandreug@gmail.com>
Date: Fri, 30 Dec 2022 11:31:37 +0100
Subject: [PATCH 1/2] [NEW] Column & Index values

---
 README.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/README.md b/README.md
index cc8d8181c..63bfb0132 100644
--- a/README.md
+++ b/README.md
@@ -3210,11 +3210,18 @@ a  1  2
 b  3  4
 ```
 
+```python
+    df = pd.DataFrame([[1, 2], [3, 4]], index=['a', 'b'], columns=['x', 'y'])
+    df.columns                                 # Get the column names
+    df.index                                   # Get the index values
+```
+
 ```python
 <DF>    = DataFrame(<list_of_rows>)            # Rows can be either lists, dicts or series.
 <DF>    = DataFrame(<dict_of_columns>)         # Columns can be either lists, dicts or series.
 ```
 
+For selection of multiple elements:
 ```python
 <el>    = <DF>.loc[row_key, column_key]        # Or: <DF>.iloc[row_index, column_index]
 <Sr/DF> = <DF>.loc[row_key/s]                  # Or: <DF>.iloc[row_index/es]
@@ -3222,6 +3229,7 @@ b  3  4
 <DF>    = <DF>.loc[row_bools, column_bools]    # Or: <DF>.iloc[row_bools, column_bools]
 ```
 
+
 ```python
 <Sr/DF> = <DF>[column_key/s]                   # Or: <DF>.column_key
 <DF>    = <DF>[row_bools]                      # Keeps rows as specified by bools.

From db1faadb2cc0c68300cbce20d54f4f07f2d42ecb Mon Sep 17 00:00:00 2001
From: Nil-Andreu <nilandreug@gmail.com>
Date: Fri, 30 Dec 2022 11:42:33 +0100
Subject: [PATCH 2/2] [NEW] Descriptive df

---
 README.md | 21 ++++++++++++++++++---
 1 file changed, 18 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 63bfb0132..4c282cdfc 100644
--- a/README.md
+++ b/README.md
@@ -3211,9 +3211,11 @@ b  3  4
 ```
 
 ```python
-    df = pd.DataFrame([[1, 2], [3, 4]], index=['a', 'b'], columns=['x', 'y'])
-    df.columns                                 # Get the column names
-    df.index                                   # Get the index values
+x_col   = [1, 3]
+y_col   = [2, 4]
+<DF>    = pd.DataFrame({'x': x_col, 'y': y_cal}, index=['a', 'b'])
+<DF>.columns                                   # Get the column names: {x, y}
+<DF>.index                                     # Get the index values: {a, b}
 ```
 
 ```python
@@ -3221,6 +3223,14 @@ b  3  4
 <DF>    = DataFrame(<dict_of_columns>)         # Columns can be either lists, dicts or series.
 ```
 
+Descriptive information about dataframe:
+```python
+<DF>.head(n=5)                                 # Return first n occurrences
+<DF>.dtypes                                    # Return data types of each columns
+<DF>.isna/isnull()                             # Return empty values in <DF>
+<DF>.describe()                                # Get statistical description of <DF> (both numeric & object)
+```
+
 For selection of multiple elements:
 ```python
 <el>    = <DF>.loc[row_key, column_key]        # Or: <DF>.iloc[row_index, column_index]
@@ -3229,6 +3239,10 @@ For selection of multiple elements:
 <DF>    = <DF>.loc[row_bools, column_bools]    # Or: <DF>.iloc[row_bools, column_bools]
 ```
 
+For selection of single element:
+```python
+<el>    = <DF>.at[row_index, column_key]
+```
 
 ```python
 <Sr/DF> = <DF>[column_key/s]                   # Or: <DF>.column_key
@@ -3247,6 +3261,7 @@ For selection of multiple elements:
 <DF>    = <DF>.sort_index(ascending=True)      # Sorts rows by row keys.
 <DF>    = <DF>.sort_values(column_key/s)       # Sorts rows by the passed column/s.
 ```
+Those methods have optional parameter *inplace*, which would make the changes in the object from they are called and return None.
 
 #### DataFrame — Merge, Join, Concat:
 ```python