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graphical spreadsheet applicationsġ.3.4 Filtering a column by one or more criteriaĢ.1.4 Creating a Series with missing valuesĢ.2 Creating a Series from Python objectsĢ.6 Passing the Series to Python’s built-in functionsģ.1 Importing a data set with the read_csv functionģ.2.1 Sorting by values with the sort_values methodģ.2.2 Sorting by index with the sort_index methodģ.2.3 Retrieving the smallest and largest values with the nsmallest and nlargest methodsģ.3 Overwriting a Series with the inplace parameterģ.4 Counting values with the value_counts methodģ.5 Invoking a function on every Series value with the apply methodĤ.1.1 Creating a DataFrame from a dictionaryĤ.1.2 Creating a DataFrame from a NumPy ndarrayĤ.2 Similarities between Series and DataFramesĤ.2.1 Importing a DataFrame with the read_csv functionĤ.2.2 Shared and exclusive attributes of Series and DataFramesĤ.2.3 Shared methods of Series and DataFramesĤ.6 Selecting columns and rows from a DataFrameĤ.6.1 Selecting a single column from a DataFrameĤ.6.2 Selecting multiple columns from a DataFrameĤ.7.3 Extracting values from specific columnsĥ.1.1 Converting data types with the astype methodĦ.3 String slicing and character replacementħ.4.2 Extracting one or more rows with locħ.4.3 Extracting one or more rows with ilocĨ.2 Creating a pivot table from a DataFrameĨ.2.2 Additional options for pivot tablesĩ.1 Creating a GroupBy object from scratchĩ.2 Creating a GroupBy object from a data setĩ.3 Attributes and methods of a GroupBy objectĩ.5 Applying a custom operation to all groupsġ0.3 Missing values in concatenated DataFramesġ1.2 Storing multiple timestamps in a DatetimeIndexġ1.3 Converting column or index values to datetimesġ1.5 Adding and subtracting durations of timeġ2.1 Reading from and writing to JSON filesġ2.1.1 Loading a JSON file Into a DataFrameġ2.1.2 Exporting a DataFrame to a JSON fileġ2.2 Reading from and writing to CSV filesġ2.3 Reading from and writing to Excel workbooksġ2.3.1 Installing the xlrd and openpyxl libraries in an Anaconda environmentī.9.3 Converting a string to a list and vice versaĬ.2.1 Generating a numeric range with the arange methodĪppendix D Generating fake data with Fakerĭ.3 Populating a DataFrame with fake valuesįor online information and ordering of this and other Manning books, please visit The publisher offers discounts on this book when ordered in quantity.