matplotlib https://matplotlib.org/3.1.1/tutorials/introductory/pyplot.html

https://matplotlib.org/3.1.1/tutorials/introductory/pyplot.html

Why f, ax = plt.subplots()

f, ax = plt.subplots()
ax.plot(x, y)
ax.set_title('Simple plot')

plt.subplots() is a function that returns a tuple containing a figure and axes object(s). Thus when using fig, ax = plt.subplots() you unpack this tuple into the variables fig and ax.
 Having fig is useful if you want to change figure-level attributes or save the figure as an image file later (e.g. with fig.savefig('yourfilename.png')). You certainly don't have to use the returned figure object but many people do use it later so it's common to see.
Also, all axes objects (the objects that have plotting methods), have a parent figure object anyway, thus:

fig, ax = plt.subplots()

is more concise than this:

fig = plt.figure()
ax = fig.add_subplot(111)

plt.plot([1, 2, 3, 4], [1, 4, 9, 16]) 

Plot Geodataframe kleur

https://matplotlib.org/tutorials/colors/colormaps.html
kleure 'Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds', 'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu', 'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn', 'BuGn', 'YlGn']

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cmap='Blues'

gdf2.plot(column='myval',cmap=cmap)

Plot Legend mooi

Zet legend op true print niet heel mooi

fig, ax = plt.subplots(1, 1)
gdf2.plot(column='myval',ax=ax,legend=True) 

Aanpassen op de volgende manier

from mpl_toolkits.axes_grid1 import make_axes_locatable
fig, ax = plt.subplots(1, 1,figsize = (10, 10))
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.4)
gdf2.plot(column='myval',ax=ax,legend=True,cax=cax,cmap='Blues') 

Plot een marker in het midden van een shape

from shapely.geometry import Point
from shapely.geometry import shape
gdfP=gdf2.copy()
gdfP['geometry']=gdfP['geometry'].centroid

fig, ax = plt.subplots(figsize=(15, 15))
base = gdf2.plot(column='myval',ax=ax,legend=True)
gdfP.plot(ax=base,marker='o',color='red', markersize=4)

Print een cloropleth en een markers over elkaar

ax1 = gdf2.plot(figsize = (15, 15),column='myval',cmap='Blues')

texts = []
for x, y, label in zip(gdfP.geometry.x, gdfP.geometry.y, gdfP["Gebied"]):
    texts.append(plt.text(x, y, label, fontsize = 8))

dit werkt ook : zonder teksts.append

ax1 = gdf2.plot(figsize = (15, 15),column='myval',cmap='Blues')

texts = []
for x, y, label in zip(gdfP.geometry.x, gdfP.geometry.y, gdfP["Gebied"]):
   plt.text(x, y, label, fontsize = 8)