This project is still under development, but if you have any ideas, advice or would like to contribute, please don't hesitate to contact me!
import matplotlib.pyplot as plt
import pandas as pd
import plotch
df = pd.DataFrame({
"x": [1, 2, 3, 4, 5],
"y": [5, 4, 3, 2, 1],
})
_, ax1 = plt.subplots(figsize=(5, 5))
ax1.scatter(df["x"], df["y"])
_, ax2 = plt.subplots(figsize=(5, 5))
ax2.bar(df["y"], df["x"])And then we glue Axes together:
ax1 + ax2
ax1 / ax2
(ax1 + ax2) / ax2
ax2 / (ax1 + ax2)
- The
+and/operators are "easy" to make usable - Charts looks okay with 2 or 3 Axes
- Scales very badly with 3 or more Axes
- Having to call
plt.subplots()many times is not the best - When initial figures are not squared, looks weird