R and Python for oceanographers : a practical guide with applications
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| Hlavný autor: | |
|---|---|
| Médium: | E-kniha Kniha |
| Jazyk: | English |
| Vydavateľské údaje: |
Amsterdam
Elsevier
2019
|
| Vydanie: | 1 |
| Predmet: | |
| ISBN: | 9780128134917, 0128134917 |
| On-line prístup: | Získať plný text |
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- Front Cover -- R and Python for Oceanographers: A Practical Guide with Applications -- Copyright -- Contents -- Chapter 1: Introduction to R and Python -- 1.1. Introduction to R -- 1.2. R environment -- 1.2.1. Base system of R -- 1.2.2. Add-on packages -- 1.3. Installation of R -- 1.3.1. Installation of R base software -- 1.3.2. Installation of add-on packages -- 1.4. Integrated development environments (IDEs) and editors for R -- 1.4.1. Official R console and editor -- 1.4.2. RStudio -- 1.5. Useful R commands -- 1.6. Getting help for R -- 1.7. Introduction to Python -- 1.8. Modules and packages in Python -- 1.9. Python IDEs -- 1.10. Installing Python and scientific Python distributions -- 1.10.1. Using pip package -- 1.10.2. Using package managers -- 1.10.3. Using source files of packages -- 1.11. Getting help for Python -- 1.12. Some useful packages and libraries in R and Python for oceanography -- References -- Chapter 2: Data import and export in R and Python -- 2.1. Object types in R -- 2.1.1. Vectors -- 2.1.2. Matrices -- 2.1.3. Arrays -- 2.1.4. Data frames -- 2.1.5. Lists -- 2.1.6. Factors -- 2.1.7. Functions -- 2.2. Data import in R -- 2.2.1. Import from txt, dat, csv and Excel xls, xlsx files -- 2.2.2. Import from netCDF4 file -- 2.2.3. Import from mat files -- 2.2.4. Import from SeaBird cnv files -- 2.2.5. Import data from online databases -- Import tab delimited text data from LOBO-0010 Northwest Arm, Halifax, Canada -- 2.2.6. Import csv.gz file from WOA13 V2 -- 2.3. Data export in R -- 2.3.1. Export as txt, dat, csv and Excel xls, xlsx files -- 2.3.2. Export as netCDF4 file -- 2.3.3. Export as Matlab mat files -- 2.4. Object types in Python -- 2.4.1. Arrays in Numpy package -- Create an array -- Create array from existing data -- 2.4.2. Series and data frame objects in Pandas package -- Pandas Series -- Pandas Data Frames
- 2.4.3. User-defined functions in Python -- 2.5. Data import in Python -- 2.5.1. Import from txt, dat, csv, and Excel xls, xlsx files with Numpy loadtxt -- 2.5.2. Import from Excel xls files with Pandas read_excel -- 2.5.3. Import from Excel xlsx files with Pandas read_excel -- 2.5.4. Import from netCDF4 file -- 2.5.5. Import from Matlab mat files -- 2.5.6. Import from Seabird cnv file -- 2.5.7. Import data from online databases -- Import tab delimited text data from LOBO-0010 Northwest Arm, Halifax, Canada -- Import all data in a csv file -- Import block of data at defined ranges of rows and columns -- Subset data based on multiple criteria using column values -- 2.6. Data export in Python -- 2.6.1. Export as txt, dat, and csv files with Numpy savetxt -- 2.6.2. Export as txt, dat and csv files with Pandas DataFrame.to_csv -- 2.6.3. Export as xls, xlsx with Pandas ExcelWriter -- 2.6.4. Export as netCDF4 files -- 2.6.5. Export as Matlab mat files -- References -- Chapter 3: Plotting -- 3.1. Plots in R -- 3.1.1. High-level plotting functions -- plot() function -- Other high-level plotting functions -- Arguments to use with high-level plotting functions -- Low-level plotting functions -- 3.1.2. Graphical parameters -- par() function -- 3.1.3. Graphical parameters as arguments in graphics functions -- 3.1.4. Most frequently used graphical parameters -- 3.1.5. Plotting multiple figures -- 3.1.6. Device drivers -- 3.1.7. Example plots in R -- 3.2. Plotting in Python -- 3.2.1. Pyplot API -- 3.2.2. Matplotlib API -- References -- Chapter 4: Physical oceanography examples -- 4.1. Vertical profiling plots in R -- 4.2. Time-series plots in R -- 4.3. Temperature-salinity diagrams in R -- 4.4. Maps in R -- 4.5. Transect plots in R -- 4.6. Surface plots in R -- 4.7. Vertical profiling plots in Python -- 4.8. Time series plots in Python
- 4.9. Temperature-salinity diagrams in Python -- 4.10. Maps in Python -- 4.11. Transect plots in Python -- 4.12. Surface plots in Python -- 4.13. Animations in R and Python -- References -- Chapter 5: Chemical oceanography examples -- 5.1. Vertical profiling plots in R -- 5.2. Time-series plots in R -- 5.3. Barplots in R -- 5.4. Boxplots in R -- 5.5. Pie charts in R -- 5.6. 3D plots in R -- 5.7. Ternary plots in R -- 5.8. Vertical profiling plots in Python -- 5.9. Time-series plots in Python -- 5.10. Barplots in Python -- 5.11. Boxplots in Python -- 5.12. Pie charts in Python -- 5.13. 3D plots in Python -- 5.14. Ternary plots in Python -- References -- Index -- Back Cover