From f4b24fdfd85416c3fdceec43d5425a94a4cf3bc3 Mon Sep 17 00:00:00 2001
From: Krishna Kaushik <131583096+kRiShNa-429407@users.noreply.github.com>
Date: Sat, 25 May 2024 08:24:05 +0530
Subject: [PATCH] Add files via upload

---
 .../Importing_and_Exporting_Data_in_Pandas.md | 103 ++++++++++++++++++
 1 file changed, 103 insertions(+)
 create mode 100644 contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md

diff --git a/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md b/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md
new file mode 100644
index 0000000..bb490b9
--- /dev/null
+++ b/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md
@@ -0,0 +1,103 @@
+# Importing_and_Exporting_Data_in_Pandas
+
+>Created by Krishna Kaushik
+
+- **Now we're able to create `Series` and `DataFrames` in pandas, but we usually do not do this , in practice we import the data which is in the form of .csv (Comma Seperated Values) , a spreadsheet file or something similar.**
+
+- *Good news is that pandas allows for easy importing of data like this through functions such as ``pd.read_csv()`` and ``pd.read_excel()`` for Microsoft Excel files.*
+
+## 1. Importing from a Google sheet to a pandas dataframe
+
+*Let's say that you wanted to get the information from Google Sheet document into a pandas DataFrame.*.
+
+*You could export it as a .csv file and then import it using ``pd.read_csv()``.*
+
+*In this case, the exported .csv file is called `Titanic.csv`*
+
+
+```python
+## Importing Titanic Data set 
+import pandas as pd
+
+titanic_df= pd.read_csv("https://raw.githubusercontent.com/kRiShNa-429407/learn-python/main/contrib/pandas/Datasets/Titanic.csv")
+print(titanic_df)
+```
+
+          pclass  survived                                             name  \
+    0          1         1                    Allen, Miss. Elisabeth Walton   
+    1          1         1                   Allison, Master. Hudson Trevor   
+    2          1         0                     Allison, Miss. Helen Loraine   
+    3          1         0             Allison, Mr. Hudson Joshua Creighton   
+    4          1         0  Allison, Mrs. Hudson J C (Bessie Waldo Daniels)   
+    ...      ...       ...                                              ...   
+    1304       3         0                             Zabour, Miss. Hileni   
+    1305       3         0                            Zabour, Miss. Thamine   
+    1306       3         0                        Zakarian, Mr. Mapriededer   
+    1307       3         0                              Zakarian, Mr. Ortin   
+    1308       3         0                               Zimmerman, Mr. Leo   
+    
+             sex    age  sibsp  parch  ticket      fare    cabin embarked boat  \
+    0     female  29.00      0      0   24160  211.3375       B5        S    2   
+    1       male   0.92      1      2  113781  151.5500  C22 C26        S   11   
+    2     female   2.00      1      2  113781  151.5500  C22 C26        S  NaN   
+    3       male  30.00      1      2  113781  151.5500  C22 C26        S  NaN   
+    4     female  25.00      1      2  113781  151.5500  C22 C26        S  NaN   
+    ...      ...    ...    ...    ...     ...       ...      ...      ...  ...   
+    1304  female  14.50      1      0    2665   14.4542      NaN        C  NaN   
+    1305  female    NaN      1      0    2665   14.4542      NaN        C  NaN   
+    1306    male  26.50      0      0    2656    7.2250      NaN        C  NaN   
+    1307    male  27.00      0      0    2670    7.2250      NaN        C  NaN   
+    1308    male  29.00      0      0  315082    7.8750      NaN        S  NaN   
+    
+           body                        home.dest  
+    0       NaN                     St Louis, MO  
+    1       NaN  Montreal, PQ / Chesterville, ON  
+    2       NaN  Montreal, PQ / Chesterville, ON  
+    3     135.0  Montreal, PQ / Chesterville, ON  
+    4       NaN  Montreal, PQ / Chesterville, ON  
+    ...     ...                              ...  
+    1304  328.0                              NaN  
+    1305    NaN                              NaN  
+    1306  304.0                              NaN  
+    1307    NaN                              NaN  
+    1308    NaN                              NaN  
+    
+    [1309 rows x 14 columns]
+    
+
+The dataset I am using here for your reference is taken from the same repository i.e ``learn-python`` (https://raw.githubusercontent.com/kRiShNa-429407/learn-python/main/contrib/pandas/Datasets/Titanic.csv) I uploaded it in the Datasets folder,you can use it from there.
+
+You can also place the filename with its path in `pd.read_csv()`.
+
+**Now we've got the same data from the Google Spreadsheet , but now available as ``pandas DataFrame`` which means we can now apply all pandas functionality over it.**
+
+#### Note: The quiet important thing i am telling is that ``pd.read_csv()`` takes the location of the file (which is in your current working directory) or the hyperlink of the dataset from the other source.
+
+#### But if you want to import the data from Github you can't directly use its link , you have to first convert it to raw by clicking on the raw button present in the repo .
+
+#### Also you can't use the data directly from `Kaggle` you have to use ``kaggle API``
+
+## 2. The Anatomy of DataFrame
+
+**Different functions use different labels for different things, and can get a little confusing.**
+
+- Rows are refer as ``axis=0``
+- columns are refer as ``axis=1``
+
+## 3. Exporting Data
+
+**OK, so after you've made a few changes to your data, you might want to export it and save it so someone else can access the changes.**
+
+**pandas allows you to export ``DataFrame's`` to ``.csv`` format using ``.to_csv()``, or to a spreadsheet format using .to_excel().**
+
+### Exporting a dataframe to a CSV
+
+**We haven't made any changes yet to the ``titanic_df`` DataFrame but let's try to export it.**
+
+
+```python
+#Export the titanic_df DataFrame to csv
+titanic_df.to_csv("exported_titanic.csv")  
+```
+
+Running this will save a file called ``exported_titanic.csv`` to the current folder.