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VMware-player-5.0.2-1031769 Serial .rar (April-2022)




To copy this example, paste the link below into your Web browser: 1. Instructions 2. Visualization 3. Datasets 4. Tutorials 5. Tools 6. References 7. Links To see this example in action, make sure to load the Kaggle Notebook ( We start by defining a function to read a CSV file into a Pandas DataFrame. Use the `read_csv()` function to load a CSV file. This function returns a DataFrame. ```python import pandas as pd import numpy as np from matplotlib import pyplot as plt def read_csv(file_name): '''Reads a.csv file and returns a Pandas DataFrame file_name -- name of the file to read ''' df = pd.read_csv(file_name, sep=',', header=None, skiprows=1) return df ``` In this example, we want to create a new column with average price values (in dollars). We use the `mean()` function to compute the average of this new column. df.loc[:, 'Avg Price'] = df.loc[:, 'Price'].mean() The `mean()` function returns the mean of the NumPy array returned by `df.loc[:, 'Price']`: print(df.head(10).to_string()) We can then print the new column. print(df['Avg Price']) For some reason, I had to create a new




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VMware-player-5.0.2-1031769 Serial .rar (April-2022)

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