Coordinates¶

We can specify coordinates as below:

chart.coordinate('type')

There are four types.

rect/ cartesian (x,y):

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('rect')
chart.render()

Output:

polar (r,theta):

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('polar')
chart.render()

Output:

theta (theta,r):

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('theta')
chart.render()

helix

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('helix')
chart.render()

Output:

There are coordinate transformation functions.

transpose

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('rect').transpose()
chart.render()

Output:

reflect

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('rect').reflect('y')
chart.render()

Output:

rotate:

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('rect').rotate(0.1)
chart.render()

Output:

scale:

chart = G2.Chart(height=500, width=1000)
chart.data(df)
chart.interval().position('name*mpg')
chart.coordinate('rect').scale(0.5,0.1)
chart.render()

pyG2