Add source example files

source/pandas/01-pandas-manual/04-dataframe-load-csv-url.py

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+"""
+Read an online CSV file into a DataFrame.
+
+Since the referenced file contains a datetime column, and by default
+read_csv does not interpret data from the text file, you have to replace
+some columns with their conversion as a correct dtype.
+
+Or better, you can directly tell the read_csv function to interpret
+
+"""
+import pandas as pd
+
+
+url = "https://media.githubusercontent.com/media/datablist/sample-csv-files/main/files/customers/customers-100.csv"
+df = pd.read_csv(url, parse_dates=["Subscription Date"])
+print(df.to_string(max_cols=7))
+print(df.dtypes)
+
+# Remplacer une colonne avec une conversionl
+df["Subscription Date"] = pd.to_datetime(df["Subscription Date"])
+print(df, df.dtypes)