diff --git a/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md b/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md index bb490b9..a4bc1be 100644 --- a/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md +++ b/contrib/pandas/Importing_and_Exporting_Data_in_Pandas.md @@ -12,60 +12,31 @@ *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`* +*In this case, the exported .csv file is called `car-sales.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) +car_sales_df= pd.read_csv("https://raw.githubusercontent.com/kRiShNa-429407/learn-python/main/contrib/pandas/Datasets/car-sales.csv") +print(car_sales_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] + Make Colour Odometer (KM) Doors Price + 0 Toyota White 150043 4 $4,000.00 + 1 Honda Red 87899 4 $5,000.00 + 2 Toyota Blue 32549 3 $7,000.00 + 3 BMW Black 11179 5 $22,000.00 + 4 Nissan White 213095 4 $3,500.00 + 5 Toyota Green 99213 4 $4,500.00 + 6 Honda Blue 45698 4 $7,500.00 + 7 Honda Blue 54738 4 $7,000.00 + 8 Toyota White 60000 4 $6,250.00 + 9 Nissan White 31600 4 $9,700.00 -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. +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/car-sales.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()`. @@ -92,12 +63,12 @@ You can also place the filename with its path in `pd.read_csv()`. ### 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.** +**We haven't made any changes yet to the ``car_sales_df`` DataFrame but let's try to export it.** ```python #Export the titanic_df DataFrame to csv -titanic_df.to_csv("exported_titanic.csv") +car_sales_df.to_csv("exported_car_sales_df.csv") ``` Running this will save a file called ``exported_titanic.csv`` to the current folder.