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  1. For multiple plots in a single pdf file you can use PdfPages. In the plotGraph function you should return the figure and than call savefig of the figure object.

  2. There are a number of Basemap instance methods for plotting data: contour(): draw contour lines. contourf(): draw filled contours. imshow(): draw an image. pcolor(): draw a pseudocolor plot. pcolormesh(): draw a pseudocolor plot (faster version for regular meshes). plot(): draw lines and/or markers.

  3. This is a demo of creating a pdf file with several pages, as well as adding metadata and annotations to pdf files. If you want to use a multipage pdf file using LaTeX, you need to use from matplotlib.backends.backend_pgf import PdfPages.

  4. One common type of visualization in data science is that of geographic data. Matplotlib's main tool for this type of visualization is the Basemap toolkit, which is one of several Matplotlib toolkits which lives under the mpl_toolkits namespace.

  5. 31 sty 2019 · First, we need to do some pre-required work for the Matplotlib to plot the map as setting the variable, range and creating a basic figure for the map.

  6. 1 cze 2021 · This hands-on tutorial dives deep into creating and customizing line plots with Matplotlib, a powerful data visualization library in Python.

  7. There are a number of Basemap instance methods for plotting data: contour(): draw contour lines. contourf(): draw filled contours. imshow(): draw an image. pcolor(): draw a pseudocolor plot. pcolormesh(): draw a pseudocolor plot (faster version for regular meshes). plot(): draw lines and/or markers. scatter(): draw points with markers.

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